Upload folder using huggingface_hub

.dockerignore

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+start_endpoint.bat
+start.bat
+.gitignore
+.github
+.git
+.env
+LICENCE
+install_ubuntu.sh
+install_on_huggingface.md
+docker-compose.yml
+config.json
+docker-compose/

.github/FUNDING.yml

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+# These are supported funding model platforms
+
+github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
+patreon: # Replace with a single Patreon username
+open_collective: # Replace with a single Open Collective username
+ko_fi: # Replace with a single Ko-fi username
+tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
+community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
+liberapay: # Replace with a single Liberapay username
+issuehunt: # Replace with a single IssueHunt username
+otechie: # Replace with a single Otechie username
+lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
+custom: # ['https://boosty.to/neurogen']

.github/README.md

@@ -0,0 +1,68 @@
+<div align="center">
+<a href="https://t.me/neurogen_news">
+  <img src="https://readme-typing-svg.herokuapp.com?font=Jura&weight=700&size=30&duration=4000&pause=1000&color=1BED29&center=true&width=435&lines=NeuroGPT+by+NeurogenAI" alt="NeuroGPT" />
+</a>
+
+<strong> <a href="https://github.com/Em1tSan/NeuroGPT/blob/main/.github/README_RU.md">Русский</a> | English </strong>
+
+> ### The project is currently undergoing a transition to another client and reconstruction of the API. Technical work is continuing. We apologize for any inconvenience.
+  
+<p> Free API service providing access to GPT-3.5, GPT-4, and other language models. Before using it, please make sure you check out our <a href="https://github.com/Em1tSan/NeuroGPT/wiki#english-language">wiki</a>. The project utilizes a modified version of <a href="https://github.com/xtekky/gpt4free">gpt4free</a>, as well as <a href="https://github.com/GaiZhenbiao/ChuanhuChatGPT">ChuanhuChatGPT</a> as a web interface. We extend our gratitude to the authors.</p>
+
+<p>
+<a href="https://github.com/Em1tSan/NeuroGPT/blob/main/LICENSE">
+  <img src="https://img.shields.io/badge/license-GPL_3.0-darkgreen.svg" alt="license"/>
+</a>
+<a href="https://github.com/Em1tSan/NeuroGPT/commits/main">
+  <img src="https://img.shields.io/badge/latest-v1.5.4-darkgreen.svg" alt="latest"/>
+</a></p>
+
+<a href="https://github.com/Em1tSan/NeuroGPT/wiki/Installing-and-running#windows">
+  <img src="https://img.shields.io/badge/-Windows-1371c3?logo=windows" alt="windows"/>
+</a>
+<a href="https://github.com/Em1tSan/NeuroGPT/wiki/Installing-and-running#linux">
+  <img src="https://img.shields.io/badge/-Linux-F1502F?logo=linux" alt="linux"/>
+</a>
+<a href="https://github.com/Em1tSan/NeuroGPT/wiki/Installing-and-running#macos">
+  <img src="https://img.shields.io/badge/-MacOS-C0BFC0?logo=apple" alt="macos"/>
+</a>
+<a href="https://github.com/Em1tSan/NeuroGPT/wiki/Installing-and-running#portable-version">
+  <img src="https://img.shields.io/badge/-Portable version-8080ff?logo=portable" alt="portable"/>
+</a>
+
+<br> News and feedback: <br/>
+
+<a href="https://t.me/neurogen_news">
+  <img src="https://img.shields.io/badge/-Telegram channel-0088CC?logo=telegram" alt="telegram"/>
+</a>
+<a href="https://t.me/neurogen_chat">
+  <img src="https://img.shields.io/badge/-Telegram chat-0088CC?logo=telegram" alt="telegram_chat"/>
+</a>
+
+<br> Support the project: <br/>
+
+<a href="https://boosty.to/neurogen">
+  <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/9/92/Boosty_logo.svg/512px-Boosty_logo.svg.png?20230209172145" alt="neurogen_boosty" width="20%">
+</a>
+
+</div>
+
+## Features
+
+- Web search
+- [Model list](https://status.neuroapi.host/v1/status)
+- Dialog context
+- No-logs
+- API endpoint
+- Dialog history
+- Setting generation parameters for GPT models
+- Built-in prompt templates and jailbreaks for various tasks
+
+<div align="center">
+  <img src="https://github.com/NealBelov/screenshots/blob/main/img_03.png?raw=true" width="100%">
+
+***
+
+[![Star History Chart](https://api.star-history.com/svg?repos=Em1tSan/NeuroGPT&type=Date)](https://star-history.com/#Em1tSan/NeuroGPT&Date)
+
+</div>

.github/README_RU.md

@@ -0,0 +1,66 @@
+<div align="center">
+<a href="https://t.me/neurogen_news">
+  <img src="https://readme-typing-svg.herokuapp.com?font=Jura&weight=700&size=30&duration=4000&pause=1000&color=1BED29&center=true&width=435&lines=NeuroGPT+by+NeurogenAI" alt="NeuroGPT" />
+</a>
+
+<strong> Русский | <a href="https://github.com/Em1tSan/NeuroGPT#readme">English </a></strong>
+
+<p> Бесплатный API-сервис, предоставляющий доступ к GPT-3.5, GPT-4 и другим языковым моделям. Перед использованием, пожалуйста, убедитесь, что ознакомились с нашей <a href="https://github.com/Em1tSan/NeuroGPT/wiki#english-language">wiki</a>. В проекте используется модифицированная версия <a href="https://github.com/xtekky/gpt4free">gpt4free</a>, а также <a href="https://github.com/GaiZhenbiao/ChuanhuChatGPT">ChuanhuChatGPT</a> в качестве веб-интерфейса. Выражаем благодарность авторам. </p>
+
+<p>
+<a href="https://github.com/Em1tSan/NeuroGPT/blob/main/LICENSE">
+  <img src="https://img.shields.io/badge/license-GPL_3.0-darkgreen.svg" alt="license"/>
+</a>
+<a href="https://github.com/Em1tSan/NeuroGPT/commits/main">
+  <img src="https://img.shields.io/badge/latest-v1.5.3-darkgreen.svg" alt="latest"/>
+</a></p>
+
+<a href="https://github.com/Em1tSan/NeuroGPT/wiki/Installing-and-running#windows">
+  <img src="https://img.shields.io/badge/-Windows-1371c3?logo=windows" alt="windows"/>
+</a>
+<a href="https://github.com/Em1tSan/NeuroGPT/wiki/Installing-and-running#linux">
+  <img src="https://img.shields.io/badge/-Linux-F1502F?logo=linux" alt="linux"/>
+</a>
+<a href="https://github.com/Em1tSan/NeuroGPT/wiki/Installing-and-running#macos">
+  <img src="https://img.shields.io/badge/-MacOS-C0BFC0?logo=apple" alt="macos"/>
+</a>
+<a href="https://github.com/Em1tSan/NeuroGPT/wiki/Installing-and-running#portable-version">
+  <img src="https://img.shields.io/badge/-Портативная версия-8080ff?logo=portable" alt="portable"/>
+</a>
+
+<br> Новости и обратная связь: <br/>
+
+<a href="https://t.me/neurogen_news">
+  <img src="https://img.shields.io/badge/-Telegram канал-0088CC?logo=telegram" alt="telegram"/>
+</a>
+<a href="https://t.me/neurogen_chat">
+  <img src="https://img.shields.io/badge/-Telegram чат-0088CC?logo=telegram" alt="telegram_chat"/>
+</a>
+
+<br> Поддержать проект: <br/>
+
+<a href="https://boosty.to/neurogen">
+  <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/9/92/Boosty_logo.svg/512px-Boosty_logo.svg.png?20230209172145" alt="neurogen_boosty" width="20%">
+</a>
+
+</div>
+
+## Возможности
+
+- Веб-поиск
+- [Список моделей](https://status.neuroapi.host/v1/status)
+- Контекст беседы
+- Отсутствие логов
+- История диалога
+- Режим endpoint для работы с API
+- Изменение параметров генерации для GPT-моделей
+- Встроенные джейлбрейки и шаблоны промптов под разные задачи
+
+<div align="center">
+  <img src="https://github.com/NealBelov/screenshots/blob/main/img_03.png?raw=true" width="100%">
+
+***
+
+[![Star History Chart](https://api.star-history.com/svg?repos=Em1tSan/NeuroGPT&type=Date)](https://star-history.com/#Em1tSan/NeuroGPT&Date)
+
+</div>

.gitignore

@@ -0,0 +1,152 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+history/
+index/
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+python/
+git/
+history/
+
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# Mac system file
+**/.DS_Store
+
+#vscode
+.vscode
+
+# 配置文件/模型文件
+api_key.txt
+config.json
+auth.json
+.models/
+lora/
+.idea
+templates/*
+code_improver.yaml
+.history
+config.json

LICENSE

@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
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+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
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+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.

README.md

@@ -1,12 +1,6 @@
 ---
 title: NeuroGPT
-emoji: 👁
-colorFrom: pink
-colorTo: indigo
+app_file: webui_en.py
 sdk: gradio
 sdk_version: 4.27.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

assets/custom.css

@@ -0,0 +1,655 @@
+:root {
+  --chatbot-color-light: #000000;
+  --chatbot-color-dark: #FFFFFF;
+  --chatbot-background-color-light: #F3F3F3;
+  --chatbot-background-color-dark: #121111;
+  --message-user-background-color-light: #95EC69; 
+  --message-user-background-color-dark: #26B561;
+  --message-bot-background-color-light: #FFFFFF;
+  --message-bot-background-color-dark: #2C2C2C;
+  --switch-checkbox-color-light: #e5e7eb;
+  --switch-checkbox-color-dark: #515151;
+}
+
+
+#app_title {
+  font-weight: var(--prose-header-text-weight);
+  font-size: var(--text-xxl);
+  line-height: 1.3;
+  text-align: left;
+  margin-top: 6px;
+  white-space: nowrap;
+}
+#description {
+  text-align: center;
+  margin: 32px 0 4px 0;
+}
+
+/* Fix padding error when container=False */  
+div.form {
+  background: none !important;
+}
+
+/* Advanced page */
+#advanced_warning {
+  display: flex;
+  flex-wrap: wrap;
+  flex-direction: column;
+  align-content: center;
+}
+
+/* Gradio footer info */
+footer {
+  /* display: none !important; */
+  margin-top: .2em !important;
+  font-size: 85%;
+}
+#footer {
+  text-align: center;
+}
+#footer div {
+  display: inline-block;
+}
+#footer .versions{
+  font-size: 85%;
+  opacity: 0.60;
+}
+
+#float_display {
+  position: absolute;
+  max-height: 30px;
+}
+#toast-update {
+  position: absolute;
+  display: flex;
+  top: -500px;
+  width: 100%;
+  justify-content: center;
+  z-index: var(--layer-top);
+  transition: top 0.3s ease-out;
+}
+#check-chuanhu-update {
+  position: absolute;
+  align-items: center;
+  display: flex;
+  flex-direction: column;
+  justify-content: center;
+  margin: var(--size-6) var(--size-4);
+  box-shadow: var(--shadow-drop-lg);
+  border: 1px solid var(--block-label-border-color);
+  border-radius: var(--container-radius);
+  background: var(--background-fill-primary);
+  padding: var(--size-4) var(--size-6);
+  min-width: 360px;
+  max-width: 480px;
+  overflow: hidden;
+  pointer-events: auto;
+}
+#version-info-title {
+  font-size: 1.2em;
+  font-weight: bold;
+  text-align: start;
+  width: 100%;
+}
+#release-note-wrap {
+  width: 100%;
+  max-width: 400px;
+  height: 120px;
+  border: solid 1px var(--border-color-primary);
+  overflow: auto;
+  padding: 0 8px;
+}
+#release-note-wrap.hideK {
+  display: none;
+}
+.btn-update-group {
+  display: flex;
+  justify-content: space-evenly;
+  align-items: center;
+  width: 100%;
+  padding-top: 10px;
+}
+.btn-update-group.hideK {
+  display: none;
+}
+/* user_info */
+#user_info.block {
+  white-space: nowrap;
+  position: absolute; left: 8em; top: .8em;
+  z-index: var(--layer-2);
+  box-shadow: var(--block-shadow);
+  border: none!important; border-radius: var(--block-label-radius);
+  background: var(--color-accent);
+  padding: var(--block-label-padding);
+  font-size: var(--block-label-text-size); line-height: var(--line-sm);
+  width: auto; max-height: 30px!important;
+  opacity: 1;
+  transition: opacity 0.3s ease-in-out;
+}
+#user_info.block .wrap {
+  opacity: 0;
+}
+#user_info p {
+  color: white;
+  font-weight: var(--block-label-text-weight);
+}
+#user_info.hideK {
+  opacity: 0;
+  transition: opacity 1s ease-in-out;
+}
+
+/* status_display */
+#status_display {
+  display: flex;
+  min-height: 2em;
+  align-items: flex-end;
+  justify-content: flex-end;
+}
+#status_display p {
+  font-size: .85em;
+  font-family: ui-monospace, "SF Mono", "SFMono-Regular", "Menlo", "Consolas", "Liberation Mono", "Microsoft Yahei UI", "Microsoft Yahei", monospace;
+  /* Fallback to Microsoft Yahei on Windows */
+  color: var(--body-text-color-subdued);
+}
+
+#status_display {
+  transition: all 0.6s;
+}
+#chuanhu_chatbot {
+  transition: height 0.3s ease;
+}
+
+/* usage_display */
+.insert_block {
+  position: relative;
+  margin: 0;
+  padding: 8px 12px;
+  box-shadow: var(--block-shadow);
+  border-width: var(--block-border-width);
+  border-color: var(--block-border-color);
+  border-radius: var(--block-radius);
+  background: var(--block-background-fill);
+  width: 100%;
+  line-height: var(--line-sm);
+  min-height: 2em;
+}
+#usage_display p, #usage_display span {
+  margin: 0;
+  font-size: .85em;
+  color: var(--body-text-color-subdued);
+}
+.progress-bar {
+  background-color: var(--input-background-fill);;
+  margin: .5em 0 !important;
+  height: 20px;
+  border-radius: 10px;
+  overflow: hidden;
+}
+.progress {
+  background-color: var(--block-title-background-fill);
+  height: 100%;
+  border-radius: 10px;
+  text-align: right;
+  transition: width 0.5s ease-in-out;
+}
+.progress-text {
+  /* color: white; */
+  color: var(--color-accent) !important;
+  font-size: 1em !important;
+  font-weight: bold;
+  padding-right: 10px;
+  line-height: 20px;
+}
+
+/* Light/dark mode switch */
+#apSwitch input[type="checkbox"] {
+  margin: 0 !important;
+}
+#apSwitch label.apSwitch {
+  display: flex;
+  align-items: center;
+  cursor: pointer;
+  color: var(--body-text-color);
+  font-weight: var(--checkbox-label-text-weight);
+  font-size: var(--checkbox-label-text-size);
+  line-height: var(--line-md);
+  margin: 2px 0 !important;
+}
+input[type="checkbox"]#apSwitch_checkbox::before {
+  background: none !important;
+  content: '';
+  border: none !important;
+  box-shadow: none !important;
+  font-size: 22px;
+  top: -4.4px;
+  left: -1px;
+}
+input:checked[type="checkbox"]#apSwitch_checkbox::before {	
+    content: '';	
+    left: 16px;	
+}	
+/* .apSwitch {	
+    top: 2px;	
+    display: inline-block;	
+    height: 22px;	
+    position: relative;	
+    width: 40px;	
+    border-radius: 11px;	
+    box-shadow: inset 0 0 1px 0 rgba(0,0,0,0.05), inset 0 0 2px 0 rgba(0,0,0,0.08) !important;	
+}	
+.apSwitch input {	
+    display: none !important;	
+}	
+.apSlider {	
+    background-color: var(--neutral-200);	
+    bottom: 0;	
+    cursor: pointer;	
+    left: 0;	
+    position: absolute;	
+    right: 0;	
+    top: 0;	
+    transition: .4s;	
+    font-size: 22px;	
+    border-radius: 11px;	
+}	
+.apSlider::before {	
+    transform: scale(0.9);	
+    position: absolute;	
+    transition: .4s;	
+    content: "🌞";	
+}	
+input:checked + .apSlider {	
+    background-color: var(--primary-600);	
+}	
+input:checked + .apSlider::before {	
+    transform: translateX(18px);	
+    content:"🌚";	
+} */	
+.switch_checkbox label {	
+    flex-direction: row-reverse;	
+    justify-content: space-between;	
+}	
+.switch_checkbox input[type="checkbox"] + span {	
+    margin-left: 0 !important;	
+}	
+.switch_checkbox input[type="checkbox"] {	
+    -moz-appearance: none;	
+    appearance: none;	
+    -webkit-appearance: none;	
+    outline: none;	
+}	
+.switch_checkbox input[type="checkbox"] {	
+    display: inline-block !important;	
+    position: relative !important;	
+    border: none !important;	
+    outline: none;	
+    width: 40px !important;	
+    height: 22px !important;	
+    border-radius: 11px !important;	
+    background-image: none !important;	
+    box-shadow: inset 0 0 1px 0 rgba(0,0,0,0.05), inset 0 0 2px 0 rgba(0,0,0,0.08) !important;	
+    background-image: none !important;	
+    background-color: var(--switch-checkbox-color-light) !important;	
+    transition: .2s ease background-color;	
+}	
+.dark .switch_checkbox input[type="checkbox"] {	
+    background-color: var(--switch-checkbox-color-dark) !important;	
+}	
+.switch_checkbox input[type="checkbox"]::before {	
+    content: "";	
+    position: absolute;	
+    width: 22px;	
+    height: 22px;	
+    top: 0;	
+    left: 0;	
+    background: #FFFFFF;	
+    border: 0.5px solid rgba(0,0,0,0.02);	
+    box-shadow: 0 0 0 0 rgba(0,0,0,0.15), 0 1px 0 0 rgba(0,0,0,0.05);	
+    transform: scale(0.9);	
+    border-radius: 11px !important;	
+    transition: .4s ease all;	
+    box-shadow: var(--input-shadow);	
+}	
+.switch_checkbox input:checked[type="checkbox"] {	
+    background-color: var(--primary-600) !important;	
+}	
+.switch_checkbox input:checked[type="checkbox"]::before {	
+    background-color: #fff;	
+    left: 18px;	
+}
+
+/* Override Slider Styles (for webkit browsers like Safari and Chrome)
+ * Hope this proposal can be implemented soon https://github.com/w3c/csswg-drafts/issues/4410
+ * Sliders are too inconsistent across platforms  
+ */
+input[type="range"] {
+  -webkit-appearance: none;
+  height: 4px;
+  background: var(--input-background-fill);
+  border-radius: 5px;
+  background-image: linear-gradient(var(--primary-500),var(--primary-500));
+  background-size: 0% 100%;
+  background-repeat: no-repeat;
+}
+input[type="range"]::-webkit-slider-thumb {
+  -webkit-appearance: none;
+  height: 20px;
+  width: 20px;
+  border-radius: 50%;
+  border: solid 0.5px #ddd;
+  background-color: white;
+  cursor: ew-resize;
+  box-shadow: var(--input-shadow);
+  transition: background-color .1s ease;
+}
+input[type="range"]::-webkit-slider-thumb:hover {
+  background: var(--neutral-50);
+}  
+input[type=range]::-webkit-slider-runnable-track {
+  -webkit-appearance: none;
+  box-shadow: none;
+  border: none;
+  background: transparent;
+}
+
+hr.append-display {
+  margin: 8px 0;
+  border: none;
+  height: 1px;
+  border-top-width: 0;
+  background-image: linear-gradient(to right, rgba(50,50,50, 0.1), rgba(150, 150, 150, 0.8), rgba(50,50,50, 0.1));
+}
+.source-a {
+  font-size: 0.8em;
+  max-width: 100%;
+  margin: 0;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  align-items: center;
+  /* background-color: #dddddd88; */
+  border-radius: 1.5rem;
+  padding: 0.2em;
+}
+.source-a a {
+  display: inline-block;
+  background-color: #aaaaaa50;
+  border-radius: 1rem;
+  padding: 0.5em;
+  text-align: center;
+  text-overflow: ellipsis;
+  overflow: hidden;  
+  min-width: 20%;
+  white-space: nowrap;
+  margin: 0.2rem 0.1rem;
+  text-decoration: none !important;
+  flex: 1;
+  transition: flex 0.5s;
+}
+.source-a a:hover {
+  background-color: #aaaaaa20;
+  flex: 2;  
+}
+
+#submit_btn, #cancel_btn {
+  height: 42px !important;
+}
+#submit_btn::before {
+  content: url("data:image/svg+xml, %3Csvg width='21px' height='20px' viewBox='0 0 21 20' version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink'%3E %3Cg id='page' stroke='none' stroke-width='1' fill='none' fill-rule='evenodd'%3E %3Cg id='send' transform='translate(0.435849, 0.088463)' fill='%23FFFFFF' fill-rule='nonzero'%3E %3Cpath d='M0.579148261,0.0428666046 C0.301105539,-0.0961547561 -0.036517765,0.122307382 0.0032026237,0.420210298 L1.4927172,18.1553639 C1.5125774,18.4334066 1.79062012,18.5922882 2.04880264,18.4929872 L8.24518329,15.8913017 L11.6412765,19.7441794 C11.8597387,19.9825018 12.2370824,19.8832008 12.3165231,19.5852979 L13.9450591,13.4882182 L19.7839562,11.0255541 C20.0619989,10.8865327 20.0818591,10.4694687 19.7839562,10.3105871 L0.579148261,0.0428666046 Z M11.6138902,17.0883151 L9.85385903,14.7195502 L0.718169621,0.618812241 L12.69945,12.9346347 L11.6138902,17.0883151 Z' id='shape'%3E%3C/path%3E %3C/g%3E %3C/g%3E %3C/svg%3E");
+  height: 21px;
+}
+#cancel_btn::before {
+  content: url("data:image/svg+xml,%3Csvg width='21px' height='21px' viewBox='0 0 21 21' version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink'%3E %3Cg id='pg' stroke='none' stroke-width='1' fill='none' fill-rule='evenodd'%3E %3Cpath d='M10.2072007,20.088463 C11.5727865,20.088463 12.8594566,19.8259823 14.067211,19.3010209 C15.2749653,18.7760595 16.3386126,18.0538087 17.2581528,17.1342685 C18.177693,16.2147282 18.8982283,15.1527965 19.4197586,13.9484733 C19.9412889,12.7441501 20.202054,11.4557644 20.202054,10.0833163 C20.202054,8.71773046 19.9395733,7.43106036 19.4146119,6.22330603 C18.8896505,5.01555169 18.1673997,3.95018885 17.2478595,3.0272175 C16.3283192,2.10424615 15.2646719,1.3837109 14.0569176,0.865611739 C12.8491633,0.34751258 11.5624932,0.088463 10.1969073,0.088463 C8.83132146,0.088463 7.54636692,0.34751258 6.34204371,0.865611739 C5.1377205,1.3837109 4.07407321,2.10424615 3.15110186,3.0272175 C2.22813051,3.95018885 1.5058797,5.01555169 0.984349419,6.22330603 C0.46281914,7.43106036 0.202054,8.71773046 0.202054,10.0833163 C0.202054,11.4557644 0.4645347,12.7441501 0.9894961,13.9484733 C1.5144575,15.1527965 2.23670831,16.2147282 3.15624854,17.1342685 C4.07578877,18.0538087 5.1377205,18.7760595 6.34204371,19.3010209 C7.54636692,19.8259823 8.83475258,20.088463 10.2072007,20.088463 Z M10.2072007,18.2562448 C9.07493099,18.2562448 8.01471483,18.0452309 7.0265522,17.6232031 C6.03838956,17.2011753 5.17031614,16.6161693 4.42233192,15.8681851 C3.6743477,15.1202009 3.09105726,14.2521274 2.67246059,13.2639648 C2.25386392,12.2758022 2.04456558,11.215586 2.04456558,10.0833163 C2.04456558,8.95104663 2.25386392,7.89083047 2.67246059,6.90266784 C3.09105726,5.9145052 3.6743477,5.04643178 4.42233192,4.29844756 C5.17031614,3.55046334 6.036674,2.9671729 7.02140552,2.54857623 C8.00613703,2.12997956 9.06463763,1.92068122 10.1969073,1.92068122 C11.329177,1.92068122 12.3911087,2.12997956 13.3827025,2.54857623 C14.3742962,2.9671729 15.2440852,3.55046334 15.9920694,4.29844756 C16.7400537,5.04643178 17.3233441,5.9145052 17.7419408,6.90266784 C18.1605374,7.89083047 18.3698358,8.95104663 18.3698358,10.0833163 C18.3698358,11.215586 18.1605374,12.2758022 17.7419408,13.2639648 C17.3233441,14.2521274 16.7400537,15.1202009 15.9920694,15.8681851 C15.2440852,16.6161693 14.3760118,17.2011753 13.3878492,17.6232031 C12.3996865,18.0452309 11.3394704,18.2562448 10.2072007,18.2562448 Z M7.65444721,13.6242324 L12.7496608,13.6242324 C13.0584616,13.6242324 13.3003556,13.5384544 13.4753427,13.3668984 C13.6503299,13.1953424 13.7378234,12.9585951 13.7378234,12.6566565 L13.7378234,7.49968276 C13.7378234,7.19774418 13.6503299,6.96099688 13.4753427,6.78944087 C13.3003556,6.61788486 13.0584616,6.53210685 12.7496608,6.53210685 L7.65444721,6.53210685 C7.33878414,6.53210685 7.09345904,6.61788486 6.91847191,6.78944087 C6.74348478,6.96099688 6.65599121,7.19774418 6.65599121,7.49968276 L6.65599121,12.6566565 C6.65599121,12.9585951 6.74348478,13.1953424 6.91847191,13.3668984 C7.09345904,13.5384544 7.33878414,13.6242324 7.65444721,13.6242324 Z' id='shape' fill='%23FF3B30' fill-rule='nonzero'%3E%3C/path%3E %3C/g%3E %3C/svg%3E");
+  height: 21px;
+}
+/* list */
+ol:not(.options), ul:not(.options) {
+  padding-inline-start: 2em !important; 
+}
+
+/* Light theme (default) */  
+#chuanhu_chatbot {
+  background-color: var(--chatbot-background-color-light) !important;
+  color: var(--chatbot-color-light) !important;
+}
+[data-testid = "bot"] {
+  background-color: var(--message-bot-background-color-light) !important;
+}
+[data-testid = "user"] {
+  background-color: var(--message-user-background-color-light) !important;
+}
+/* Dark theme */
+.dark #chuanhu_chatbot {
+  background-color: var(--chatbot-background-color-dark) !important;
+  color: var(--chatbot-color-dark) !important;
+}  
+.dark [data-testid = "bot"] {
+  background-color: var(--message-bot-background-color-dark) !important;
+}
+.dark [data-testid = "user"] {
+  background-color: var(--message-user-background-color-dark) !important;
+}
+
+/* Devices with screen width >= 500px */
+/* Height adjustments written in JavaScript since 2023.4.8 */ 
+@media screen and (min-width: 500px) {
+  #chuanhu_chatbot {
+    height: calc(100vh - 200px);
+  }
+  #chuanhu_chatbot>.wrapper>.wrap {
+    max-height: calc(100vh - 200px - var(--line-sm)*1rem - 2*var(--block-label-margin) );
+  }
+}
+/* Devices with screen width < 500px */
+@media screen and (max-width: 499px) {
+  #chuanhu_chatbot {
+    height: calc(100vh - 140px);
+  }
+  #chuanhu_chatbot>.wrapper>.wrap {
+    max-height: calc(100vh - 140px - var(--line-sm)*1rem - 2*var(--block-label-margin) );
+  }
+  [data-testid = "bot"] {
+    max-width: 95% !important;
+  }
+  #app_title h1{
+    letter-spacing: -1px; font-size: 22px;
+  }
+}
+#chuanhu_chatbot>.wrapper>.wrap {
+  overflow-x: hidden;
+}
+/* Chat bubbles */
+.message {
+  border-radius: var(--radius-xl) !important;
+  border: none;
+  padding: var(--spacing-xl) !important;
+  font-size: var(--text-md) !important;
+  line-height: var(--line-md) !important;
+  min-height: calc(var(--text-md)*var(--line-md) + 2*var(--spacing-xl));
+  min-width: calc(var(--text-md)*var(--line-md) + 2*var(--spacing-xl));
+}
+[data-testid = "bot"] {
+  max-width: 85%;
+  border-bottom-left-radius: 0 !important; 
+}
+[data-testid = "user"] {
+  max-width: 85%;
+  width: auto !important;
+  border-bottom-right-radius: 0 !important;
+}
+
+.message.user p {
+  white-space: pre-wrap;
+}
+.message .user-message {
+  display: block;
+  padding: 0 !important;
+  white-space: pre-wrap;
+}
+
+.message .md-message p {
+  margin-top: 0.6em !important;
+  margin-bottom: 0.6em !important;
+}
+.message .md-message p:first-child { margin-top: 0 !important; }
+.message .md-message p:last-of-type { margin-bottom: 0 !important; }
+
+.message .md-message {
+  display: block;
+  padding: 0 !important;
+}
+.message .raw-message p {
+  margin:0 !important;  
+}
+.message .raw-message {
+  display: block;
+  padding: 0 !important;
+  white-space: pre-wrap;
+}
+.raw-message.hideM, .md-message.hideM {
+  display: none;
+}
+
+/* Custom buttons */
+.chuanhu-btn {
+  border-radius: 5px;
+  /* background-color: #E6E6E6 !important; */
+  color: rgba(120, 120, 120, 0.64) !important;
+  padding: 4px !important;
+  position: absolute;
+  right: -22px;
+  cursor: pointer !important;
+  transition: color .2s ease, background-color .2s ease;
+}
+.chuanhu-btn:hover {
+  background-color: rgba(167, 167, 167, 0.25) !important;
+  color: unset !important;
+}
+.chuanhu-btn:active {
+  background-color: rgba(167, 167, 167, 0.5) !important; 
+}
+.chuanhu-btn:focus {
+  outline: none;
+}
+.copy-bot-btn {
+  /* top: 18px; */
+  bottom: 0;
+}
+.toggle-md-btn {
+  /* top: 0; */
+  bottom: 20px;  
+} 
+.copy-code-btn {
+  position: relative;
+  float: right;
+  font-size: 1em;
+  cursor: pointer;
+}
+
+.message-wrap>div img{
+  border-radius: 10px !important;
+}
+
+/* History message */  
+.wrapper>.wrap>.history-message {
+  padding: 10px !important;
+}
+.history-message {
+  /* padding: 0 !important; */
+  opacity: 80%;
+  display: flex;
+  flex-direction: column;
+}
+.history-message>.history-message {
+  padding: 0 !important;
+}
+.history-message>.message-wrap {
+  padding: 0 !important;
+  margin-bottom: 16px;
+}
+.history-message>.message {
+  margin-bottom: 16px;
+}
+.wrapper>.wrap>.history-message::after {
+  content: "";
+  display: block;
+  height: 2px;
+  background-color: var(--body-text-color-subdued);
+  margin-bottom: 10px;
+  margin-top: -10px;
+  clear: both;
+}
+.wrapper>.wrap>.history-message>:last-child::after {
+  content: "For viewing only";
+  display: block;
+  text-align: center;
+  color: var(--body-text-color-subdued);
+  font-size: 0.8em;  
+}
+
+/* Table */
+table {
+  margin: 1em 0;
+  border-collapse: collapse;
+  empty-cells: show;
+}  
+td,th {
+  border: 1.2px solid var(--border-color-primary) !important;
+  padding: 0.2em;
+}
+thead {
+  background-color: rgba(175,184,193,0.2);
+}
+thead th {
+  padding: .5em .2em;  
+}
+/* Inline code */
+.message :not(pre) code {
+  display: inline;
+  white-space: break-spaces;
+  font-family: var(--font-mono);
+  border-radius: 6px;
+  margin: 0 2px 0 2px;
+  padding: .2em .4em .1em .4em;
+  background-color: rgba(175,184,193,0.2);  
+}
+/* Code block */
+.message pre,
+.message pre[class*=language-] {
+  color: #fff;
+  overflow-x: auto;
+  overflow-y: hidden;
+  margin: .8em 1em 1em 0em !important; 
+  padding: var(--spacing-xl) 1.2em !important;
+  border-radius: var(--radius-lg) !important;
+}
+.message pre code,  
+.message pre code[class*=language-] {
+  color: #fff;
+  padding: 0;
+  margin: 0;
+  background-color: unset;
+  text-shadow: none;
+  font-family: var(--font-mono);
+}
+/* Override Gradio's ugly copy button styles */  
+pre button[title="copy"] {
+  border-radius: 5px;
+  transition: background-color .2s ease;
+}
+pre button[title="copy"]:hover {
+  background-color: #333232; 
+}
+pre button .check {
+  color: #fff !important;
+  background: var(--neutral-950) !important;  
+}
+
+/* Override prism.css */
+.language-css .token.string,
+.style .token.string, 
+.token.entity,
+.token.operator,
+.token.url {
+  background: none !important;
+}

assets/custom.js

@@ -0,0 +1,705 @@
+const MAX_HISTORY_LENGTH = 32; 
+
+var key_down_history = [];
+var currentIndex = -1;
+var user_input_ta; 
+
+var gradioContainer = null;
+var user_input_ta = null;  
+var user_input_tb = null;
+var userInfoDiv = null;
+var appTitleDiv = null;
+var chatbot = null;
+var chatbotWrap = null;  
+var apSwitch = null;
+var messageBotDivs = null;
+var loginUserForm = null;
+var logginUser = null;
+var updateToast = null;
+var sendBtn = null;
+var cancelBtn = null;
+var sliders = null;
+
+var userLogged = false;
+var usernameGotten = false; 
+var historyLoaded = false;
+var updateInfoGotten = false;
+var isLatestVersion = localStorage.getItem('isLatestVersion') || false;
+
+var ga = document.getElementsByTagName("gradio-app");
+var targetNode = ga[0];
+var isInIframe = (window.self !== window.top);
+var language = navigator.language.slice(0,2);
+var currentTime = new Date().getTime();
+
+var forView_i18n = {
+  'zh': "For viewing only",
+  'en': "For viewing only",
+  'ru': "История прошлых сообщений",
+  'ja': "For viewing only",
+  'ko': "For viewing only",
+  'fr': "For viewing only",
+  'es': "For viewing only",
+};
+
+var deleteConfirm_i18n_pref = {
+  'zh': "Are you sure you want to delete ",
+  'en': "Are you sure you want to delete ",
+  'ru': "Are you sure you want to delete ",
+  'ja': "Are you sure you want to delete ",
+  'ko': "Are you sure you want to delete ",
+};
+var deleteConfirm_i18n_suff = {
+  'zh': "?",
+  'en': "?",
+  'ru': "?",
+  'ja': "?",
+  'ko': "?", 
+};
+var deleteConfirm_msg_pref = "Are you sure you want to delete ";
+var deleteConfirm_msg_suff = " ?";
+
+var usingLatest_i18n = {
+  'zh': "You are using the latest version!",
+  'en': "You are using the latest version!",
+  'ru': "Вы используете последнюю версию!",
+  'ja': "You are using the latest version!",
+  'ko': "You are using the latest version!",
+};
+
+// Is gradio page loaded? Can interact with elements?  
+function gradioLoaded(mutations) {
+  for (var i = 0; i < mutations.length; i++) {
+    if (mutations[i].addedNodes.length) {
+      loginUserForm = document.querySelector(".gradio-container > .main > .wrap > .panel > .form")
+      gradioContainer = document.querySelector(".gradio-container");
+      user_input_tb = document.getElementById('user_input_tb');
+      userInfoDiv = document.getElementById("user_info");
+      appTitleDiv = document.getElementById("app_title");
+      chatbot = document.querySelector('#chuanhu_chatbot');
+      chatbotWrap = document.querySelector('#chuanhu_chatbot > .wrapper > .wrap');
+      apSwitch = document.querySelector('.apSwitch input[type="checkbox"]');
+      updateToast = document.querySelector("#toast-update");
+      sendBtn = document.getElementById("submit_btn");
+      cancelBtn = document.getElementById("cancel_btn");
+      sliders = document.querySelectorAll('input[type="range"]');
+
+      if (loginUserForm) {
+        localStorage.setItem("userLogged", true);
+        userLogged = true;  
+      }
+
+      if (gradioContainer && apSwitch) { // Is gradioContainer loaded?
+        adjustDarkMode();
+      }
+      if (user_input_tb) { // Is user_input_tb loaded? 
+        selectHistory();
+      }
+      if (userInfoDiv && appTitleDiv) { // Are userInfoDiv and appTitleDiv loaded?
+        if (!usernameGotten) {
+          getUserInfo();
+        }
+        setTimeout(showOrHideUserInfo(), 2000);
+      }
+      if (chatbot) { // Is chatbot loaded?
+        setChatbotHeight();
+      }
+      if (chatbotWrap) {
+        if (!historyLoaded) {
+          loadHistoryHtml();
+        }
+        setChatbotScroll();
+        mObserver.observe(chatbotWrap, { attributes: true, childList: true, subtree: true, characterData: true});
+      }
+      if (sliders) {
+        setSlider();
+      }
+      if (updateToast) {
+        const lastCheckTime = localStorage.getItem('lastCheckTime') || 0;
+        const longTimeNoCheck = currentTime - lastCheckTime > 3 * 24 * 60 * 60 * 1000;
+        if (longTimeNoCheck && !updateInfoGotten && !isLatestVersion || isLatestVersion && !updateInfoGotten) {
+          updateLatestVersion();
+        }
+      }  
+      if (cancelBtn) {
+        submitObserver.observe(cancelBtn, { attributes: true, characterData: true});
+      }
+    }
+  }
+}
+
+function webLocale() {
+  //console.log("webLocale", language);
+  if (forView_i18n.hasOwnProperty(language)) {
+    var forView = forView_i18n[language];
+    var forViewStyle = document.createElement('style');
+    forViewStyle.innerHTML = '.wrapper>.wrap>.history-message>:last-child::after { content: "' + forView + '"!important; }';  
+    document.head.appendChild(forViewStyle);
+  }
+  if (deleteConfirm_i18n_pref.hasOwnProperty(language)) {
+    deleteConfirm_msg_pref = deleteConfirm_i18n_pref[language];
+    deleteConfirm_msg_suff = deleteConfirm_i18n_suff[language];
+  }
+}
+
+function showConfirmationDialog(a, file, c) {
+  if (file != "") {
+    var result = confirm(deleteConfirm_msg_pref + file + deleteConfirm_msg_suff);
+    if (result) {
+      return [a, file, c];
+    }
+  }
+  return [a, "CANCELED", c];
+}
+
+function selectHistory() {
+  user_input_ta = user_input_tb.querySelector("textarea");
+  if (user_input_ta) {
+    observer.disconnect(); // stop observing
+    disableSendBtn();
+    // listen to keydown event on textarea
+    user_input_ta.addEventListener("keydown", function (event) {
+      var value = user_input_ta.value.trim();
+      // check if pressed key is up/down arrow
+      if (event.code === 'ArrowUp' || event.code === 'ArrowDown') {
+        // if arrow pressed and input not empty and history doesn't contain value, do nothing
+        if (value && key_down_history.indexOf(value) === -1) 
+          return;  
+        // prevent default behavior of arrow press
+        event.preventDefault();
+        var length = key_down_history.length;
+        if (length === 0) {
+          currentIndex = -1; // if history empty, reset current selected record  
+          return;
+        }
+        if (currentIndex === -1) {
+          currentIndex = length;
+        }
+        if (event.code === 'ArrowUp' && currentIndex > 0) {
+          currentIndex--;
+          user_input_ta.value = key_down_history[currentIndex];
+        } else if (event.code === 'ArrowDown' && currentIndex < length - 1) {
+          currentIndex++;
+          user_input_ta.value = key_down_history[currentIndex];
+        }
+        user_input_ta.selectionStart = user_input_ta.value.length;
+        user_input_ta.selectionEnd = user_input_ta.value.length;
+        const input_event = new InputEvent("input", { bubbles: true, cancelable: true });
+        user_input_ta.dispatchEvent(input_event);
+      } else if (event.code === "Enter") {
+        if (value) {
+          currentIndex = -1;
+          if (key_down_history.indexOf(value) === -1) {
+            key_down_history.push(value);
+            if (key_down_history.length > MAX_HISTORY_LENGTH) {
+              key_down_history.shift();
+            }
+          }
+        }
+      }
+    });
+  }
+}
+
+function disableSendBtn() {
+  sendBtn.disabled = user_input_ta.value.trim() === '';
+  user_input_ta.addEventListener('input', () => {
+    sendBtn.disabled = user_input_ta.value.trim() === '';
+  });
+}
+
+var username = null;  
+function getUserInfo() {
+  if (usernameGotten) {
+    return;
+  }
+  userLogged = localStorage.getItem('userLogged');
+  if (userLogged) {
+    username = userInfoDiv.innerText;
+    if (username) {
+      if (username.includes("getting user info...")) {
+        setTimeout(getUserInfo, 500);
+        return;
+      } else if (username === " ") {
+        localStorage.removeItem("username");
+        localStorage.removeItem("userLogged")
+        userLogged = false;
+        usernameGotten = true;
+        return;
+      } else {
+        username = username.match(/User:\s*(.*)/)[1] || username;
+        localStorage.setItem("username", username);
+        usernameGotten = true;
+        clearHistoryHtml();
+      }
+    }
+  }
+}
+
+function toggleUserInfoVisibility(shouldHide) {
+  if (userInfoDiv) {
+    if (shouldHide) {
+      userInfoDiv.classList.add("hideK");
+    } else {
+      userInfoDiv.classList.remove("hideK");
+    }
+  }
+}
+function showOrHideUserInfo() {
+  // bind mouse/touch events to show/hide user info
+  appTitleDiv.addEventListener("mouseenter", function () {
+    toggleUserInfoVisibility(false);
+  });
+  userInfoDiv.addEventListener("mouseenter", function () {
+    toggleUserInfoVisibility(false);
+  });
+  sendBtn.addEventListener("mouseenter", function () {
+    toggleUserInfoVisibility(false);
+  });
+
+  appTitleDiv.addEventListener("mouseleave", function () {
+    toggleUserInfoVisibility(true);
+  });
+  userInfoDiv.addEventListener("mouseleave", function () {
+    toggleUserInfoVisibility(true);
+  });
+  sendBtn.addEventListener("mouseleave", function () {
+    toggleUserInfoVisibility(true);
+  });
+
+  appTitleDiv.ontouchstart = function () {
+    toggleUserInfoVisibility(false);
+  };
+  userInfoDiv.ontouchstart = function () {
+    toggleUserInfoVisibility(false);
+  };
+  sendBtn.ontouchstart = function () {
+    toggleUserInfoVisibility(false);
+  };
+
+  appTitleDiv.ontouchend = function () {
+    setTimeout(function () {
+      toggleUserInfoVisibility(true);
+    }, 3000);
+  };
+  userInfoDiv.ontouchend = function () {
+    setTimeout(function () {
+      toggleUserInfoVisibility(true);
+    }, 3000);
+  };
+  sendBtn.ontouchend = function () {
+    setTimeout(function () {
+      toggleUserInfoVisibility(true);
+    }, 3000); // 1 sec delay to hide user info
+  };
+
+  // hide user info after 2 seconds
+  setTimeout(function () {
+    toggleUserInfoVisibility(true);
+  }, 2000);
+}
+
+function toggleDarkMode(isEnabled) {
+  if (isEnabled) {
+    document.body.classList.add("dark");
+    document.body.style.setProperty("background-color", "var(--neutral-950)", "important");
+  } else {
+    document.body.classList.remove("dark");
+    document.body.style.backgroundColor = ""; 
+  }
+}
+function adjustDarkMode() {
+  const darkModeQuery = window.matchMedia("(prefers-color-scheme: dark)");
+
+// set initial state based on current color scheme or saved theme
+let isDarkMode = localStorage.getItem('darkMode') === 'true' || darkModeQuery.matches;
+apSwitch.checked = isDarkMode;
+toggleDarkMode(isDarkMode);
+// listen for changes to color scheme
+darkModeQuery.addEventListener("change", (e) => {
+  isDarkMode = e.matches;
+  localStorage.setItem('darkMode', isDarkMode);
+  apSwitch.checked = isDarkMode;
+  toggleDarkMode(isDarkMode);
+});
+// apSwitch = document.querySelector(".apSwitch input[type="checkbox"]");
+apSwitch.addEventListener("change", (e) => {
+  isDarkMode = e.target.checked;
+  localStorage.setItem('darkMode', isDarkMode);
+  toggleDarkMode(isDarkMode);
+});
+}
+
+function setChatbotHeight() {
+  const screenWidth = window.innerWidth;
+  const statusDisplay = document.querySelector('#status_display');
+  const statusDisplayHeight = statusDisplay ? statusDisplay.offsetHeight : 0;
+  const vh = window.innerHeight * 0.01;
+  document.documentElement.style.setProperty('--vh', `${vh}px`);
+  if (isInIframe) {
+    chatbot.style.height = `700px`;
+    chatbotWrap.style.maxHeight = `calc(700px - var(--line-sm) * 1rem - 2 * var(--block-label-margin))`
+  } else {
+    if (screenWidth <= 320) {
+      chatbot.style.height = `calc(var(--vh, 1vh) * 100 - ${statusDisplayHeight + 150}px)`;
+      chatbotWrap.style.maxHeight = `calc(var(--vh, 1vh) * 100 - ${statusDisplayHeight + 150}px - var(--line-sm) * 1rem - 2 * var(--block-label-margin))`;
+    } else if (screenWidth <= 499) {
+      chatbot.style.height = `calc(var(--vh, 1vh) * 100 - ${statusDisplayHeight + 100}px)`;
+      chatbotWrap.style.maxHeight = `calc(var(--vh, 1vh) * 100 - ${statusDisplayHeight + 100}px - var(--line-sm) * 1rem - 2 * var(--block-label-margin))`;
+    } else {
+      chatbot.style.height = `calc(var(--vh, 1vh) * 100 - ${statusDisplayHeight + 160}px)`;
+      chatbotWrap.style.maxHeight = `calc(var(--vh, 1vh) * 100 - ${statusDisplayHeight + 160}px - var(--line-sm) * 1rem - 2 * var(--block-label-margin))`;
+    }
+  }
+}
+function setChatbotScroll() {
+  var scrollHeight = chatbotWrap.scrollHeight;
+  chatbotWrap.scrollTo(0,scrollHeight)
+}
+var rangeInputs = null;
+var numberInputs = null;
+function setSlider() {
+  rangeInputs = document.querySelectorAll('input[type="range"]');
+  numberInputs = document.querySelectorAll('input[type="number"]')
+  setSliderRange();
+  rangeInputs.forEach(rangeInput => {
+    rangeInput.addEventListener('input', setSliderRange);
+  });
+  numberInputs.forEach(numberInput => {
+    numberInput.addEventListener('input', setSliderRange);
+  })
+}
+function setSliderRange() {
+  var range = document.querySelectorAll('input[type="range"]');
+  range.forEach(range => {
+    range.style.backgroundSize = (range.value - range.min) / (range.max - range.min) * 100 + '% 100%';
+  });
+}
+
+function addChuanhuButton(botElement) {
+  var rawMessage = null;
+  var mdMessage = null;
+  rawMessage = botElement.querySelector('.raw-message');
+  mdMessage = botElement.querySelector('.md-message');
+  if (!rawMessage) {
+    var buttons = botElement.querySelectorAll('button.chuanhu-btn');
+    for (var i = 0; i < buttons.length; i++) {
+      buttons[i].parentNode.removeChild(buttons[i]);
+    }
+    return;
+  }
+  var oldCopyButton = null;
+  var oldToggleButton = null;
+  oldCopyButton = botElement.querySelector('button.copy-bot-btn');
+  oldToggleButton = botElement.querySelector('button.toggle-md-btn');
+  if (oldCopyButton) oldCopyButton.remove();
+  if (oldToggleButton) oldToggleButton.remove();
+
+  // Copy bot button
+  var copyButton = document.createElement('button');
+  copyButton.classList.add('chuanhu-btn');
+  copyButton.classList.add('copy-bot-btn');
+  copyButton.setAttribute('aria-label', 'Copy');
+  copyButton.innerHTML = copyIcon;
+  copyButton.addEventListener('click', async () => {
+    const textToCopy = rawMessage.innerText;
+    try {
+      if ("clipboard" in navigator) {
+        await navigator.clipboard.writeText(textToCopy);
+        copyButton.innerHTML = copiedIcon;
+        setTimeout(() => {
+          copyButton.innerHTML = copyIcon;
+        }, 1500);
+      } else {
+        const textArea = document.createElement("textarea");
+        textArea.value = textToCopy;
+        document.body.appendChild(textArea);
+        textArea.select();
+        try {
+          document.execCommand('copy');
+          copyButton.innerHTML = copiedIcon;
+          setTimeout(() => {
+            copyButton.innerHTML = copyIcon;
+          }, 1500);
+        } catch (error) {
+          console.error("Error copying: ", error);
+        }
+        document.body.removeChild(textArea);
+      }
+    } catch (error) {
+      console.error("Error copying: ", error);
+    }
+  });
+  botElement.appendChild(copyButton);
+
+  // Toggle button
+  var toggleButton = document.createElement('button');
+  toggleButton.classList.add('chuanhu-btn');
+  toggleButton.classList.add('toggle-md-btn');
+  toggleButton.setAttribute('aria-label', 'Toggle');  
+  var renderMarkdown = mdMessage.classList.contains('hideM');
+  toggleButton.innerHTML = renderMarkdown ? mdIcon : rawIcon;
+  toggleButton.addEventListener('click', () => {
+    renderMarkdown = mdMessage.classList.contains('hideM');
+    if (renderMarkdown){
+            renderMarkdownText(botElement);
+      toggleButton.innerHTML=rawIcon;
+    } else {
+      removeMarkdownText(botElement);
+      toggleButton.innerHTML=mdIcon; 
+    }
+  });
+  botElement.insertBefore(toggleButton, copyButton);
+}
+
+function renderMarkdownText(message) {
+  var mdDiv = message.querySelector('.md-message');
+  if (mdDiv) mdDiv.classList.remove('hideM');
+  var rawDiv = message.querySelector('.raw-message');
+  if (rawDiv) rawDiv.classList.add('hideM');
+}
+function removeMarkdownText(message) {
+  var rawDiv = message.querySelector('.raw-message');
+  if (rawDiv) rawDiv.classList.remove('hideM');
+  var mdDiv = message.querySelector('.md-message');
+  if (mdDiv) mdDiv.classList.add('hideM');
+}
+
+let timeoutId;
+let isThrottled = false;
+var mmutation
+// Observe changes inside DOM  
+var mObserver = new MutationObserver(function (mutationsList) {
+  for (mmutation of mutationsList) {
+    if (mmutation.type === 'childList') {
+      for (var node of mmutation.addedNodes) {
+        if (node.nodeType === 1 && node.classList.contains('message')) {
+          saveHistoryHtml();
+          disableSendBtn();
+          document.querySelectorAll('#chuanhu_chatbot .message-wrap .message.bot').forEach(addChuanhuButton);
+        }
+      }
+      for (var node of mmutation.removedNodes) {
+        if (node.nodeType === 1 && node.classList.contains('message')) {
+          saveHistoryHtml();
+          disableSendBtn();
+          document.querySelectorAll('#chuanhu_chatbot .message-wrap .message.bot').forEach(addChuanhuButton);
+        }
+      }
+    } else if (mmutation.type === 'attributes') {
+      if (isThrottled) break; // avoid re-rendering too much  
+      isThrottled = true;
+      clearTimeout(timeoutId);
+      timeoutId = setTimeout(() => {
+        isThrottled = false;
+        document.querySelectorAll('#chuanhu_chatbot .message-wrap .message.bot').forEach(addChuanhuButton);
+        saveHistoryHtml();
+        disableSendBtn();
+      }, 1500);
+    }
+  }
+});
+// mObserver.observe(targetNode, { attributes: true, childList: true, subtree: true, characterData: true});
+
+var submitObserver = new MutationObserver(function (mutationsList) {
+  document.querySelectorAll('#chuanhu_chatbot .message-wrap .message.bot').forEach(addChuanhuButton);
+  saveHistoryHtml();
+});
+
+var loadhistorytime = 0; // for debugging
+function saveHistoryHtml() {
+  var historyHtml = document.querySelector('#chuanhu_chatbot>.wrapper>.wrap');
+  if (!historyHtml) return; // no history, do nothing
+  localStorage.setItem('chatHistory', historyHtml.innerHTML);
+  // console.log("History saved")
+  historyLoaded = false; 
+}
+function loadHistoryHtml() {
+  var historyHtml = localStorage.getItem('chatHistory');
+  if (!historyHtml) {
+    historyLoaded = true;
+    return; // no history, do nothing
+  }
+  userLogged = localStorage.getItem('userLogged');
+  if (userLogged){
+    historyLoaded = true;
+    return; // user logged in, do nothing
+  }
+  if (!historyLoaded) {
+    var tempDiv = document.createElement('div');
+    tempDiv.innerHTML = historyHtml;
+    var buttons = tempDiv.querySelectorAll('button.chuanhu-btn');
+    var gradioCopyButtons = tempDiv.querySelectorAll('button.copy_code_button');
+    for (var i = 0; i < buttons.length; i++) {
+      buttons[i].parentNode.removeChild(buttons[i]); 
+    }
+    for (var i = 0; i < gradioCopyButtons.length; i++) {
+      gradioCopyButtons[i].parentNode.removeChild(gradioCopyButtons[i]);
+    }
+    var fakeHistory = document.createElement('div');
+    fakeHistory.classList.add('history-message');
+    fakeHistory.innerHTML = tempDiv.innerHTML; 
+    webLocale();
+    chatbotWrap.insertBefore(fakeHistory, chatbotWrap.firstChild);
+    // var fakeHistory = document.createElement('div');
+    // fakeHistory.classList.add('history-message');
+    // fakeHistory.innerHTML = historyHtml;
+    // chatbotWrap.insertBefore(fakeHistory, chatbotWrap.firstChild);
+    historyLoaded = true;
+    console.log("History loaded");
+    loadhistorytime += 1; // for debugging
+  } else {
+    historyLoaded = false;
+  }
+}
+function clearHistoryHtml() {
+  localStorage.removeItem("chatHistory");
+  historyMessages = chatbotWrap.querySelector('.history-message');
+  if (historyMessages) {
+    chatbotWrap.removeChild(historyMessages);
+    console.log("History cleared");
+  }
+}
+
+var showingUpdateInfo = false;  
+async function getLatestRelease() {
+  try {
+    const response = await fetch('https://api.github.com/repos/gaizhenbiao/chuanhuchatgpt/releases/latest');
+    if (!response.ok) {
+      console.log(`Error: ${response.status} - ${response.statusText}`);
+      updateInfoGotten = true;
+      return null;
+    }
+    const data = await response.json();
+    updateInfoGotten = true;
+    return data;
+  } catch (error) {
+    console.log(`Error: ${error}`);
+    updateInfoGotten = true;
+    return null;
+  }
+}
+async function updateLatestVersion() {
+  const currentVersionElement = document.getElementById('current-version');
+  const latestVersionElement = document.getElementById('latest-version-title');
+  const releaseNoteElement = document.getElementById('release-note-content');
+  const currentVersion = currentVersionElement.textContent;
+  const versionTime = document.getElementById('version-time').innerText;
+  const localVersionTime = versionTime !== "unknown" ? (new Date(versionTime)).getTime() : 0;
+  updateInfoGotten = true; // only execute once regardless of success to avoid exceeding API limit...
+  try {
+    const data = await getLatestRelease();
+    const releaseNote = data.body;  
+    if (releaseNote) {
+      releaseNoteElement.innerHTML = marked.parse(releaseNote); 
+    }
+    const latestVersion = data.tag_name;
+    const latestVersionTime = (new Date(data.created_at)).getTime();
+    if (latestVersionTime) {
+      if (localVersionTime < latestVersionTime) {
+        latestVersionElement.textContent = latestVersion;
+        console.log(`New version ${latestVersion} found!`);
+        if (!isInIframe) {openUpdateToast();}
+      } else {
+        noUpdate();
+      }
+      currentTime = new Date().getTime();
+      localStorage.setItem('lastCheckTime', currentTime);
+    }
+  } catch (error) {
+    console.error(error);
+  }
+}
+function getUpdate() {
+  window.open('https://github.com/gaizhenbiao/chuanhuchatgpt/releases/latest', '_blank');
+  closeUpdateToast();
+}
+function cancelUpdate() {
+  closeUpdateToast();
+}
+function openUpdateToast() {
+  showingUpdateInfo = true;
+  setUpdateWindowHeight();
+}
+function closeUpdateToast() {
+  updateToast.style.setProperty('top', '-500px');
+  showingUpdateInfo = false; 
+}
+function manualCheckUpdate() {
+  openUpdateToast();
+  updateLatestVersion();
+  currentTime = new Date().getTime();
+  localStorage.setItem('lastCheckTime', currentTime);
+}
+function noUpdate() {
+  localStorage.setItem('isLatestVersion', 'true');
+  isLatestVersion = true;
+  const versionInfoElement = document.getElementById('version-info-title');
+  const releaseNoteWrap = document.getElementById('release-note-wrap');
+  const gotoUpdateBtn = document.getElementById('goto-update-btn');
+  const closeUpdateBtn = document.getElementById('close-update-btn');
+
+  versionInfoElement.textContent = usingLatest_i18n.hasOwnProperty(language) ? usingLatest_i18n[language] : usingLatest_i18n['ru'];
+  releaseNoteWrap.style.setProperty('display', 'none');
+  gotoUpdateBtn.classList.add('hideK');
+  closeUpdateBtn.classList.remove('hideK');
+}
+function setUpdateWindowHeight() {
+  if (!showingUpdateInfo) {return;}
+  const scrollPosition = window.scrollY;
+  // const originalTop = updateToast.style.getPropertyValue('top');
+  const resultTop = scrollPosition - 20 + 'px';
+  updateToast.style.setProperty('top', resultTop); 
+}
+
+// Observe changes in page
+var observer = new MutationObserver(function (mutations) {
+  gradioLoaded(mutations);
+});
+observer.observe(targetNode, { childList: true, subtree: true });
+
+// Observe changes in page
+window.addEventListener("DOMContentLoaded", function () {
+  isInIframe = (window.self !== window.top);
+  historyLoaded = false;  
+});
+window.addEventListener('resize', setChatbotHeight);
+window.addEventListener('scroll', function(){setChatbotHeight();setUpdateWindowHeight();});
+window.matchMedia("(prefers-color-scheme: dark)").addEventListener("change", adjustDarkMode);
+
+// console surprise  
+var styleTitle1 = `
+font-size: 16px;
+font-family: ui-monospace,monospace;
+color: rgb(244,167,89);
+`
+var styleDesc1 = `  
+font-size: 12px;
+font-family: ui-monospace,monospace;
+`
+function makeML(str) {
+  let l = new String(str)
+  l = l.substring(l.indexOf("/*") + 3, l.lastIndexOf("*/"))
+  return l
+}
+let ChuanhuInfo = function () {
+  /*
+ ________                      __             ________          __   
+/ ____/ /_  __  ______ _____  / /_  __  __   / ____/ /_  ____ _/ /_  
+/ /   / __ \/ / / / __ `/ __ \/ __ \/ / / /  / /   / __ \/ __ `/ __/ 
+/ /___/ / / / /_/ / /_/ / / / / / / / /_/ /  / /___/ / / / /_/ / /_   
+\____/_/ /_/\__,_/\__,_/_/ /_/_/ /_/\__,_/   \____/_/ /_/\__,_/\__/
+
+   Chuanhu Chat - Graphical interface for ChatGPT API and many LLMs
+ */
+}
+let description = `
+`
+console.log(`%c${makeML(ChuanhuInfo)}`,styleTitle1) 
+console.log(`%c${description}`, styleDesc1)
+
+// svg icon codes
+const copyIcon   = '<span><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" height=".8em" width=".8em" xmlns="http://www.w3.org/2000/svg"><rect x="9" y="9" width="13" height="13" rx="2" ry="2"></rect><path d="M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1"></path></svg></span>'; 
+const copiedIcon = '<span><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" height=".8em" width=".8em" xmlns="http://www.w3.org/2000/svg"><polyline points="20 6 9 17 4 12"></polyline></svg></span>';
+const mdIcon     = '<span><svg stroke="currentColor" fill="none" stroke-width="1" viewBox="0 0 14 18" stroke-linecap="round" stroke-linejoin="round" height=".8em" width=".8em" xmlns="http://www.w3.org/2000/svg"><g transform-origin="center" transform="scale(0.85)"><path d="M1.5,0 L12.5,0 C13.3284271,-1.52179594e-16 14,0.671572875 14,1.5 L14,16.5 C14,17.3284271 13.3284271,18 12.5,18 L1.5,18 C0.671572875,18 1.01453063e-16,17.3284271 0,16.5 L0,1.5 C-1.01453063e-16,0.671572875 0.671572875,1.52179594e-16 1.5,0 Z" stroke-width="1.8"></path><line x1="3.5" y1="3.5" x2="10.5" y2="3.5"></line><line x1="3.5" y1="6.5" x2="8" y2="6.5"></line></g><path d="M4,9 L10,9 C10.5522847,9 11,9.44771525 11,10 L11,13.5 C11,14.0522847 10.5522847,14.5 10,14.5 L4,14.5 C3.44771525,14.5 3,14.0522847 3,13.5 L3,10 C3,9.44771525 3.44771525,9 4,9 Z" stroke="none" fill="currentColor"></path></svg></span>';
+const rawIcon    = '<span><svg stroke="currentColor" fill="none" stroke-width="1.8" viewBox="0 0 18 14" stroke-linecap="round" stroke-linejoin="round" height=".8em" width=".8em" xmlns="http://www.w3.org/2000/svg"><g transform-origin="center" transform="scale(0.85)"><polyline points="4 3 0 7 4 11"></polyline><polyline points="14 3 18 7 14 11"></polyline><line x1="12" y1="0" x2="6" y2="14"></line></g></svg></span>';

assets/external-scripts.js

@@ -0,0 +1,2 @@
+
+// external javascript here

assets/html/appearance_switcher.html

@@ -0,0 +1,6 @@
+<div class="switch_checkbox" id="apSwitch">
+    <label class="apSwitch">
+        <input type="checkbox" id="apSwitch_checkbox" data-testid="checkbox" />
+        <span class="apSwitch_span">{label}</span>
+    </label>
+</div>

assets/html/billing_info.html

@@ -0,0 +1,9 @@
+<b>{label}</b>
+<div class="progress-bar">
+    <div class="progress" style="width: {usage_percent}%;">
+        <span class="progress-text">{usage_percent}%</span>
+    </div>
+</div>
+<div style="display: flex; justify-content: space-between;">
+    <span>${rounded_usage}</span><span>${usage_limit}</span>
+</div>

assets/html/footer.html

@@ -0,0 +1 @@
+<div class="versions">{versions}</div>

assets/html/update.html

@@ -0,0 +1,25 @@
+<div id="toast-update">
+    <div id="check-chuanhu-update">
+        <p style="display:none">
+            <span id="current-version">{current_version}</span>
+            <span id="version-time">{version_time}</span>
+        </p>
+        <p id="version-info-title">
+            Latest Version: <a href="https://github.com/gaizhenbiao/chuanhuchatgpt/releases/latest" target="_blank"
+                id="latest-version-title" style="text-decoration: none;">getting latest version...</a>
+        </p>
+        <div id="release-note-wrap">
+            <div class="release-note-content" id="release-note-content">
+                Getting Release Note...
+            </div>
+        </div>
+        <div id="goto-update-btn" class="btn-update-group">
+            <button class="btn-update lg secondary svelte-1ipelgc" id="cancel-button" onclick="cancelUpdate()">{cancel_btn}</button>
+            <button class="btn-update lg primary svelte-1ipelgc" id="update-button" onclick="getUpdate()">{update_btn}</button>
+        </div>
+        <div id="close-update-btn" class="btn-update-group hideK">
+            <button class="btn-update lg secondary svelte-1jrzxu" id="update-button" onclick="getUpdate()">{seenew_btn}</button>
+            <button class="btn-update lg primary svelte-1jrzxu" id="cancel-button" onclick="cancelUpdate()">{ok_btn}</button>
+        </div>
+    </div>
+</div>

autoinstall_linux.sh

@@ -0,0 +1,63 @@
+#!/bin/bash
+
+# Обновить систему
+sudo apt-get update -y
+
+# Установить python3, pip, git и зависимости
+sudo apt-get install -y python3-full python3-venv python3-pip python-is-python3 git build-essential libncursesw5-dev libssl-dev libsqlite3-dev tk-dev libgdbm-dev libc6-dev libbz2-dev libffi-dev zlib1g-dev
+
+# Клонировать репозиторий
+git clone https://github.com/Em1tSan/NeuroGPT.git
+cd NeuroGPT
+
+# Обновить репозиторий
+git checkout main
+git fetch --all
+git reset --hard origin/main
+git pull
+
+# Проверка версии Python
+version=$(python3 --version)
+version=${version:7}
+if [[ "$version" < "3.9.0" ]]; then
+    echo "Your version of Python ${version} is not supported. Please install Python 3.10.X"
+    exit 1
+elif [[ "$version" > "3.11.14" ]]; then
+    echo "Your version of Python ${version} is not supported. Please install Python 3.10.X"
+    exit 1
+fi
+
+# Создание и активация виртуальной среды
+python3 -m venv venv
+. venv/bin/activate
+
+# Установка необходимых пакетов
+python3 -m pip install --upgrade pip
+python3 -m pip install -U setuptools
+python3 -m pip install -r requirements.txt
+
+# Проверка и загрузка моделей Spacy при необходимости
+if [ ! -d "venv/lib/python3.10/site-packages/en_core_web_sm" ]; then
+    echo "English language model not found, downloading..."
+    python3 -m spacy download en_core_web_sm
+fi
+
+if [ ! -d "venv/lib/python3.10/site-packages/zh_core_web_sm" ]; then
+    echo "Chinese language model not found, downloading..."
+    python3 -m spacy download zh_core_web_sm
+fi
+
+if [ ! -d "venv/lib/python3.10/site-packages/ru_core_news_sm" ]; then
+    echo "Russian language model not found, downloading..."
+    python3 -m spacy download ru_core_news_sm
+fi
+
+echo "Completed."
+
+# Определение языка операционной системы и запуск соответствующего скрипта
+language=$(locale | grep LANG= | cut -d "=" -f2 | cut -d "_" -f1)
+if [ "$language" = "ru" ]; then
+  python3 webui_ru.py
+else
+  python3 webui_en.py
+fi

backend/auto_proxy.py

@@ -0,0 +1,121 @@
+import random  
+import requests  
+import time  
+import threading  
+import socket
+
+
+def fetch_proxies():
+    """Fetch a list of proxy servers from proxyscrape.com.  
+  
+    Returns:  
+        list: A list of proxy servers in the format "IP:Port".  
+    """  
+    url = "https://www.proxy-list.download/api/v1/get?type=https"
+    response = requests.get(url)
+    if response.status_code == 200:
+        return response.text.split("\r\n")[:-1]
+    print(f"Error fetching proxies: {response.status_code}")
+    return []  
+
+
+def test_proxy(proxy, prompt, timeout):
+    """Test the given proxy server with a specified prompt and timeout.
+
+    Args:
+        proxy (str): The proxy server in the format "IP:Port".
+        prompt (str): The test prompt to be used for testing.
+        timeout (int): The maximum time in seconds allowed for the test.
+    """
+    try:
+        # Split IP and Port
+        ip, port = proxy.split(':')
+        
+        # Create a socket object
+        sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+        
+        # Start the timer
+        start_time = time.time()
+        
+        # Connect to the proxy server
+        sock.connect((ip, int(port)))
+        
+        # Stop the timer and calculate the elapsed time
+        end_time = time.time()
+        elapsed_time = end_time - start_time
+        
+        # Print the elapsed time
+        #print(f"Elapsed time: {elapsed_time} seconds")
+        
+        # Close the socket
+        sock.close()
+        
+        # Check if the elapsed time is below the timeout
+        if elapsed_time < timeout:
+            print(f"proxy: {proxy} ✅ | Elapsed time: {elapsed_time} seconds")
+            add_working_proxy(proxy)
+    except Exception as e:
+        pass
+
+
+def add_working_proxy(proxy):  
+    """Add a working proxy server to the global working_proxies list.  
+  
+    Args:  
+        proxy (str): The proxy server in the format "IP:Port". 
+    """  
+    global working_proxies  
+    working_proxies.append(proxy)  
+
+
+def remove_proxy(proxy):  
+    """Remove a proxy server from the global working_proxies list.  
+  
+    Args:  
+        proxy (str): The proxy server in the format "IP:Port".  
+    """  
+    global working_proxies  
+    if proxy in working_proxies:  
+        working_proxies.remove(proxy)  
+
+
+def get_working_proxies(prompt, timeout=5):  
+    """Fetch and test proxy servers, adding working proxies to the global working_proxies list.  
+  
+    Args:  
+        prompt (str): The test prompt to be used for testing.  
+        timeout (int, optional): The maximum time in seconds allowed for testing. Defaults to 5.  
+    """  
+    proxy_list = fetch_proxies()  
+    threads = []  
+
+    for proxy in proxy_list:  
+        thread = threading.Thread(target=test_proxy, args=(  
+            proxy, prompt, timeout))  
+        threads.append(thread)  
+        thread.start()  
+
+    for t in threads:  
+        t.join(timeout)  
+
+
+def update_working_proxies():  
+    """Continuously update the global working_proxies list with working proxy servers."""  
+    global working_proxies  
+    test_prompt = "What is the capital of France?"  
+
+    while True:  
+        working_proxies = []  # Clear the list before updating  
+        get_working_proxies(test_prompt)  
+        print('proxies updated')  
+        time.sleep(1800)  # Update proxies list every 30 minutes  
+
+
+def get_random_proxy():  
+    """Get a random working proxy server from the global working_proxies list.  
+  
+    Returns:  
+        str: A random working proxy server in the format "IP:Port".  
+    """  
+    global working_proxies  
+    return random.choice(working_proxies)  

backend/backend.py

@@ -0,0 +1,253 @@
+import os
+import time
+import json
+import random
+import string
+import socket
+import nest_asyncio
+
+import requests
+from typing       import Any
+
+from flask import Flask, request, jsonify, Response
+from flask_cors import CORS
+import logging
+from .embedding_processing import embedding_processing
+
+import g4f
+from g4f import ChatCompletion, Provider, BaseProvider, models
+from g4f.models import ModelUtils
+
+nest_asyncio.apply()
+
+app = Flask(__name__)
+CORS(app)
+
+LOG = logging.getLogger(__name__)
+embedding_proc = embedding_processing()
+    
+@app.route("/chat/completions", methods=['POST'])
+@app.route("/v1/chat/completions", methods=['POST'])
+@app.route("/", methods=['POST'])
+def chat_completions():
+    request_data = request.get_json()
+    model = request_data.get('model', 'gpt-3.5-turbo').replace("neuro-", "")
+    messages = request_data.get('messages')
+    stream = request_data.get('stream', False)
+    streaming_ = request_data.get('stream', False)
+    temperature = request_data.get('temperature', 1.0)
+    top_p = request_data.get('top_p', 1.0)
+    max_tokens = request_data.get('max_tokens', 1024)
+
+    response = ChatCompletion.create(model=model, stream=stream, messages=messages, temperature=temperature, top_p=top_p, max_tokens=max_tokens, system_prompt="")
+
+    completion_id = "".join(random.choices(string.ascii_letters + string.digits, k=28))
+    completion_timestamp = int(time.time())
+    
+    if not streaming_:
+        completion_timestamp = int(time.time())
+        completion_id = ''.join(random.choices(
+            'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789', k=28))
+
+        return {
+            "id": f"chatcmpl-{completion_id}",
+            "object": "chat.completion",
+            "created": completion_timestamp,
+            "model": model,
+            "choices": [
+                {
+                    "index": 0,
+                    "message": {
+                        "role": "assistant",
+                        "content": response,
+                    },
+                    "finish_reason": "stop",
+                }
+            ],
+            "usage": {
+                "prompt_tokens": None,
+                "completion_tokens": None,
+                "total_tokens": None,
+            },
+        }
+
+    def streaming():
+        for chunk in response:
+            completion_data = {
+                'id': f'chatcmpl-{completion_id}',
+                'object': 'chat.completion.chunk',
+                'created': completion_timestamp,
+                'model': model,
+                'choices': [
+                    {
+                        'index': 0,
+                        'delta': {
+                            'content': chunk,
+                        },
+                        'finish_reason': None,
+                    }
+                ],
+            }
+
+            content = json.dumps(completion_data, separators=(',', ':'))
+            yield f'data: {content}\n\n'
+            time.sleep(0.05)
+
+        end_completion_data: dict[str, Any] = {
+            'id': f'chatcmpl-{completion_id}',
+            'object': 'chat.completion.chunk',
+            'created': completion_timestamp,
+            'model': model,
+            'choices': [
+                {
+                    'index': 0,
+                    'delta': {},
+                    'finish_reason': 'stop',
+                }
+            ],
+        }
+        content = json.dumps(end_completion_data, separators=(',', ':'))
+        yield f'data: {content}\n\n'
+
+    return app.response_class(streaming(), mimetype='text/event-stream')
+
+@app.route("/engines/text-embedding-ada-002/embeddings", methods=["POST"])
+@app.route("/engines/text-similarity-davinci-001/embeddings", methods=["POST"])
+@app.route('/v1/embeddings', methods=['POST'])
+@app.route('/embeddings', methods=['POST'])
+def create_embedding():
+    j_input = request.get_json()
+    #model = embedding_processing()
+    embedding = embedding_proc.embedding(text_list=j_input['input'])
+    log_event()
+    return jsonify(
+        embedding
+        )
+
+def log_event():
+    LOG.info('served')
+    
+@app.route("/v1/dashboard/billing/subscription", methods=['GET'])
+@app.route("/dashboard/billing/subscription", methods=['GET'])
+def billing_subscription():
+    return jsonify({
+  "object": "billing_subscription",
+  "has_payment_method": True,
+  "canceled": False,
+  "canceled_at": None,
+  "delinquent": None,
+  "access_until": 2556028800,
+  "soft_limit": 6944500,
+  "hard_limit": 166666666,
+  "system_hard_limit": 166666666,
+  "soft_limit_usd": 416.67,
+  "hard_limit_usd": 9999.99996,
+  "system_hard_limit_usd": 9999.99996,
+  "plan": {
+    "title": "Pay-as-you-go",
+    "id": "payg"
+  },
+  "primary": True,
+  "account_name": "OpenAI",
+  "po_number": None,
+  "billing_email": None,
+  "tax_ids": None,
+  "billing_address": {
+    "city": "New York",
+    "line1": "OpenAI",
+    "country": "US",
+    "postal_code": "NY10031"
+  },
+  "business_address": None
+}
+)
+
+
+@app.route("/v1/dashboard/billing/usage", methods=['GET'])
+@app.route("/dashboard/billing/usage", methods=['GET'])
+def billing_usage():
+    return jsonify({
+  "object": "list",
+  "daily_costs": [
+    {
+      "timestamp": time.time(),
+      "line_items": [
+        {
+          "name": "GPT-4",
+          "cost": 0.0
+        },
+        {
+          "name": "Chat models",
+          "cost": 1.01
+        },
+        {
+          "name": "InstructGPT",
+          "cost": 0.0
+        },
+        {
+          "name": "Fine-tuning models",
+          "cost": 0.0
+        },
+        {
+          "name": "Embedding models",
+          "cost": 0.0
+        },
+        {
+          "name": "Image models",
+          "cost": 16.0
+        },
+        {
+          "name": "Audio models",
+          "cost": 0.0
+        }
+      ]
+    }
+  ],
+  "total_usage": 1.01
+}
+)
+
+@app.route("/v1/models", methods=['GET'])
+@app.route("/models", methods=['GET'])
+def models():
+  import g4f.models
+  model = {"data":[]}
+  for i in g4f.models.ModelUtils.convert:
+    model['data'].append({
+            "id": i,
+            "object": "model",
+            "owned_by": g4f.models.ModelUtils.convert[i].base_provider,
+            "tokens": 99999,
+            "fallbacks": None,
+            "endpoints": [
+                "/v1/chat/completions"
+            ],
+            "limits": None,
+            "permission": []
+        })
+  return jsonify(model)
+
+@app.route("/v1/providers", methods=['GET'])
+@app.route("/providers", methods=['GET'])
+def providers():
+  files = os.listdir("g4f/Provider/Providers")
+  files = [f for f in files if os.path.isfile(os.path.join("g4f/Provider/Providers", f))]
+  files.sort(key=str.lower)
+  providers_data = {"data":[]}
+  for file in files:
+      if file.endswith(".py"):
+          name = file[:-3]
+          try:
+              p = getattr(g4f.Provider,name) 
+              providers_data["data"].append({
+              "provider": str(name),
+              "model": list(p.model),
+              "url": str(p.url),
+              "working": bool(p.working),
+              "supports_stream": bool(p.supports_stream)
+              })
+          except:
+                pass
+  return jsonify(providers_data)
+
+

backend/backend_old_async.py

@@ -0,0 +1,369 @@
+import os
+import time
+import json
+import random
+import string
+import asyncio
+import async_timeout
+import aiohttp, aiofiles
+import requests
+import pytz
+import logging
+from datetime import datetime
+from fastapi import FastAPI, Request
+from fastapi.middleware.gzip import GZipMiddleware
+from fastapi.responses import JSONResponse, StreamingResponse
+from starlette.middleware.cors import CORSMiddleware
+from typing import Any
+import g4f
+from g4f import ChatCompletion, Provider, BaseProvider
+from g4f.models import ModelUtils
+from cachetools import LRUCache
+
+import aiofiles
+import async_timeout
+
+from fp.fp import FreeProxy
+from embedding_processing import embedding_processing 
+import concurrent.futures
+
+app = FastAPI()
+embedding_proc = embedding_processing()
+LOG = logging.getLogger(__name__)
+
+app.add_middleware(GZipMiddleware)
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+def get_proxy():
+    proxy = FreeProxy(rand=True, timeout=1).get()
+    return proxy
+
+
+@app.post("/chat/completions")
+@app.post("/v1/chat/completions")
+async def chat_completions(request: Request):
+    req_data = await request.json()
+    stream = req_data.get('stream', False)
+    model = req_data.get('model', 'gpt-3.5-turbo')
+    messages = req_data.get('messages')
+    temperature = req_data.get('temperature', 1.0)
+    top_p = req_data.get('top_p', 1.0)
+    max_tokens = req_data.get('max_tokens', 4096)
+
+    response = ChatCompletion.create(model=model, stream=stream, messages=messages, temperature=temperature, top_p=top_p, max_tokens=max_tokens, system_prompt="")
+
+    completion_id = "".join(random.choices(string.ascii_letters + string.digits, k=28))
+    completion_timestamp = int(time.time())
+
+    if not stream:
+        return {
+            "id": f"chatcmpl-{completion_id}",
+            "object": "chat.completion",
+            "created": completion_timestamp,
+            "model": model,
+            "choices": [
+                {
+                    "index": 0,
+                    "message": {
+                        "role": "assistant",
+                        "content": response,
+                    },
+                    "finish_reason": "stop",
+                }
+            ],
+            "usage": {
+                "prompt_tokens": None,
+                "completion_tokens": None,
+                "total_tokens": None,
+            },
+        }
+
+    def streaming():
+        for chunk in response:
+            completion_data = {
+                "id": f"chatcmpl-{completion_id}",
+                "object": "chat.completion.chunk",
+                "created": completion_timestamp,
+                "model": model,
+                "choices": [
+                    {
+                        "index": 0,
+                        "delta": {
+                            "content": chunk,
+                        },
+                        "finish_reason": None,
+                    }
+                ],
+            }
+    
+            content = json.dumps(completion_data, separators=(",", ":"))
+            yield f"data: {content}\n\n"
+            time.sleep(0.1)
+    
+        end_completion_data: dict[str, Any] = {
+            "id": f"chatcmpl-{completion_id}",
+            "object": "chat.completion.chunk",
+            "created": completion_timestamp,
+            "model": model,
+            "choices": [
+                {
+                    "index": 0,
+                    "delta": {},
+                    "finish_reason": "stop",
+                }
+            ],
+        }
+        content = json.dumps(end_completion_data, separators=(",", ":"))
+        yield f"data: {content}\n\n"
+    
+    return StreamingResponse(streaming(), media_type='text/event-stream')
+
+@app.post('/v1/embeddings')
+async def create_embedding(request: Request):
+    j_input = await request.json()
+    #model = embedding_processing()
+    embedding = embedding_proc.embedding(text_list=j_input['input'])
+    await log_event()
+    return JSONResponse(
+        embedding
+        )
+
+async def log_event():
+    LOG.info('served')
+
+@app.post("/v1/completions")
+async def completions(request: Request):
+    req_data = await request.json()
+    model = req_data.get('model', 'text-davinci-003')
+    prompt = req_data.get('prompt')
+    messages = req_data.get('messages')
+    temperature = req_data.get('temperature', 1.0)
+    top_p = req_data.get('top_p', 1.0)
+    max_tokens = req_data.get('max_tokens', 4096)
+
+    response = g4f.Completion.create(model='text-davinci-003', prompt=prompt, temperature=temperature, top_p=top_p, max_tokens=max_tokens,)
+
+    completion_id = "".join(random.choices(string.ascii_letters + string.digits, k=24))
+    completion_timestamp = int(time.time())
+
+    return {
+      "id": f"cmpl-{completion_id}",
+      "object": "text_completion",
+      "created": completion_timestamp,
+      "model": "text-davinci-003",
+      "choices": [
+        {
+          "text": response,
+          "index": 0,
+          "logprobs": None,
+          "finish_reason": "length"
+        }
+      ],
+      "usage": {
+        "prompt_tokens": None,
+        "completion_tokens": None,
+        "total_tokens": None
+      }
+    }
+
+@app.get("/v1/dashboard/billing/subscription")
+@app.get("/dashboard/billing/subscription")
+async def billing_subscription():
+    return JSONResponse({
+        "object": "billing_subscription",
+        "has_payment_method": True,
+        "canceled": False,
+        "canceled_at": None,
+        "delinquent": None,
+        "access_until": 2556028800,
+        "soft_limit": 6944500,
+        "hard_limit": 166666666,
+        "system_hard_limit": 166666666,
+        "soft_limit_usd": 416.67,
+        "hard_limit_usd": 9999.99996,
+        "system_hard_limit_usd": 9999.99996,
+        "plan": {
+            "title": "Pay-as-you-go",
+            "id": "payg"
+        },
+        "primary": True,
+        "account_name": "OpenAI",
+        "po_number": None,
+        "billing_email": None,
+        "tax_ids": None,
+        "billing_address": {
+            "city": "New York",
+            "line1": "OpenAI",
+            "country": "US",
+            "postal_code": "NY10031"
+        },
+        "business_address": None
+    })
+
+@app.get("/v1/dashboard/billing/usage")
+@app.get("/dashboard/billing/usage")
+async def billing_usage():
+    return JSONResponse({
+        "object": "list",
+        "daily_costs": [
+            {
+                "timestamp": time.time(),
+                "line_items": [
+                    {
+                        "name": "GPT-4",
+                        "cost": 0.0
+                    },
+                    {
+                        "name": "Chat models",
+                        "cost": 1.01
+                    },
+                    {
+                        "name": "InstructGPT",
+                        "cost": 0.0
+                    },
+                    {
+                        "name": "Fine-tuning models",
+                        "cost": 0.0
+                    },
+                    {
+                        "name": "Embedding models",
+                        "cost": 0.0
+                    },
+                    {
+                        "name": "Image models",
+                        "cost": 16.0
+                    },
+                    {
+                        "name": "Audio models",
+                        "cost": 0.0
+                    }
+                ]
+            }
+        ],
+        "total_usage": 1.01
+    })
+
+@app.get("/v1/models")
+@app.get("/models")
+async def get_models():
+    models_data = {"data": []}
+    for model_name, model in ModelUtils.convert.items():
+        models_data['data'].append({
+            "id": model_name,
+            "object": "model",
+            "owned_by": model.base_provider,
+            "tokens": 99999,
+            "fallbacks": None,
+            "endpoints": [
+                "/v1/chat/completions"
+            ],
+            "limits": None,
+            "permission": []
+        })
+    return JSONResponse(models_data)
+
+@app.get("/v1/providers")
+@app.get("/providers")
+async def get_providers():
+    providers_data = {"data": []}
+    for provider_name in dir(Provider):
+        if not provider_name.startswith('__'):
+            try:
+                provider = getattr(Provider, provider_name)
+                providers_data["data"].append({
+                    "provider": provider_name,
+                    "model": list(provider.model),
+                    "url": provider.url,
+                    "working": bool(provider.working),
+                    "supports_stream": bool(provider.supports_stream)
+                })
+            except:
+                pass
+    return JSONResponse(providers_data)
+
+def process_provider(provider_name, model_name):
+    try:
+        p = getattr(g4f.Provider, provider_name)
+        provider_status = {
+            "provider": provider_name,
+            "model": model_name,
+            "url": p.url,
+            "status": ""
+        }
+
+        # Проверяем только модель 'gpt-3.5-turbo' для провайдеров Wewordle и Qidinam
+        if provider_name in ['Wewordle', 'Qidinam', 'DeepAi', 'GetGpt', 'Yqcloud'] and model_name != 'gpt-3.5-turbo':
+            provider_status['status'] = 'Inactive'
+            #print(f"{provider_name} with {model_name} skipped")
+            return provider_status
+
+        try:
+            response = ChatCompletion.create(model=model_name, provider=p,
+                                                 messages=[{"role": "user", "content": "Say 'Hello World!'"}], stream=False)
+            if any(word in response for word in ['Hello World', 'Hello', 'hello', 'world']):
+                provider_status['status'] = 'Active'
+                #print(f"{provider_name} with {model_name} say: {response}")
+            else:
+                provider_status['status'] = 'Inactive'
+                #print(f"{provider_name} with {model_name} say: Inactive")
+        except Exception as e:
+            provider_status['status'] = 'Inactive'
+           # print(f"{provider_name} with {model_name} say: Error")
+
+        return provider_status
+    except:
+        return None
+
+async def run_check_script():
+    session = aiohttp.ClientSession()
+    while True:
+        models = [model for model in g4f.models.ModelUtils.convert if model.startswith('gpt-') or model.startswith('claude') or model.startswith('text-')]
+        providers = [provider for provider in dir(g4f.Provider) if not provider.startswith('__')]
+
+        status = {'data': []}
+        with concurrent.futures.ThreadPoolExecutor() as executor:
+            futures = []
+            for provider_name in providers:
+                for model_name in models:
+                    future = executor.submit(process_provider, provider_name, model_name)
+                    futures.append(future)
+
+            for future in concurrent.futures.as_completed(futures):
+                result = future.result()
+                if result is not None and result['status'] == 'Active':
+                    status['data'].append(result)
+
+        print(status)
+        status['key'] = "test"
+        tz = pytz.timezone('Asia/Shanghai')
+        now = datetime.now(tz)
+        print(now)
+        status['time'] = now.strftime("%Y-%m-%d %H:%M:%S")
+
+        if status['data']:
+            # Здесь мы используем aiofiles для асинхронного записывания в файл
+            async with aiofiles.open('status.json', 'w') as f:
+                await f.write(json.dumps(status))
+
+        # Pause for 5 minutes before starting the next cycle
+        time.sleep(360)
+
+# Запуск асинхронных задач
+async def run_tasks():
+    while True:
+        await asyncio.gather(run_check_script())
+        await asyncio.sleep(300)
+    
+# Запуск приложения
+def main():
+    loop = asyncio.get_event_loop()
+    loop.run_until_complete(run_tasks())
+    loop.close()
+
+if __name__ == "__main__":
+    main()

backend/check.py

@@ -0,0 +1,85 @@
+import os
+import g4f
+import json
+import time
+import pytz
+from datetime import datetime
+import concurrent.futures
+import asyncio
+from g4f import ChatCompletion
+from fp.fp import FreeProxy
+import threading  
+import socket  
+from auto_proxy import get_random_proxy, update_working_proxies
+
+def process_provider(provider_name, model_name):
+    try:
+        p = getattr(g4f.Provider, provider_name)
+        provider_status = {
+            "provider": provider_name,
+            "model": model_name,
+            "url": p.url,
+            "status": ""
+        }
+
+        # Проверяем только модель 'gpt-3.5-turbo' для провайдеров Wewordle и Qidinam
+        if provider_name in ['Wewordle', 'Qidinam', 'DeepAi', 'GetGpt', 'Yqcloud', 'WewordleApple'] and model_name != 'gpt-3.5-turbo':
+            provider_status['status'] = 'Inactive'
+            print(f"{provider_name} with {model_name} skipped")
+            return provider_status
+
+        try:
+            proxy = get_random_proxy().decode("utf-8")
+            formatted_proxy = f'https://{proxy}'
+            
+            response = ChatCompletion.create(model=model_name, provider=p,
+                                                 messages=[{"role": "user", "content": "Say 'Hello World!'"}], stream=False)
+            if any(word in response for word in ['Hello World', 'Hello', 'hello', 'world']):
+                provider_status['status'] = 'Active'
+                print(f"{provider_name} with {model_name} say: {response}")
+            else:
+                provider_status['status'] = 'Inactive'
+                print(f"{provider_name} with {model_name} say: Inactive")
+        except Exception as e:
+            provider_status['status'] = 'Inactive'
+            print(f"{provider_name} with {model_name} say: Error")
+
+        return provider_status
+    except:
+        return None
+
+def main():
+    while True:
+        models = [model for model in g4f.models.ModelUtils.convert if model.startswith('gpt-') or model.startswith('claude') or model.startswith('text-')]
+        providers = [provider for provider in dir(g4f.Provider) if not provider.startswith('__')]
+
+        status = {'data': []}
+        with concurrent.futures.ThreadPoolExecutor() as executor:
+            futures = []
+            for provider_name in providers:
+                for model_name in models:
+                    future = executor.submit(process_provider, provider_name, model_name)
+                    futures.append(future)
+
+            for future in concurrent.futures.as_completed(futures):
+                result = future.result()
+                if result is not None and result['status'] == 'Active':
+                    status['data'].append(result)
+
+        print(status)
+        status['key'] = "test"
+        tz = pytz.timezone('Asia/Shanghai')
+        now = datetime.now(tz)
+        print(now)
+        status['time'] = now.strftime("%Y-%m-%d %H:%M:%S")
+
+        # Save the status data to a JSON file only if there are active providers
+        if status['data']:
+            with open('status.json', 'w') as f:
+                json.dump(status, f)
+
+        # Pause for 10 minutes before starting the next cycle
+        time.sleep(600)
+
+if __name__ == "__main__":
+    main()

backend/config.py

@@ -0,0 +1,9 @@
+app = {
+    'host': '0.0.0.0',
+    'port': 1337,
+    'debug': True
+}
+
+request = {
+    'timeout': 60
+}

backend/embedding_processing.py

@@ -0,0 +1,72 @@
+import spacy
+import numpy as np
+import os
+from zhconv import convert
+import re
+import random
+
+# добавьте специфическую для русского языка модель
+import ru_core_news_sm
+
+def detect_lang(text):
+    # 定义语言占比字典
+    lang_dict = {'zh-cn': 0, 'zh-tw': 0, 'en': 0, 'ru': 0, 'other': 0} # добавьте русский язык
+    # 随机抽样最多十个字符
+    sample = random.sample(text, min(10, len(text)))
+    # 计算每种语言的字符占比
+    for char in sample:
+        if re.search(r'[\u4e00-\u9fa5]', char):
+            lang_dict['zh-cn'] += 1
+        elif re.search(r'[\u4e00-\u9fff]', char):
+            lang_dict['zh-tw'] += 1
+        elif re.search(r'[a-zA-Z]', char):
+            lang_dict['en'] += 1
+        elif re.search(r'[а-яА-Я]', char): # добавьте соответствующий диапазон для русских букв
+            lang_dict['ru'] += 1
+        else:
+            lang_dict['other'] += 1
+    # 返回占比最高的语言
+    return max(lang_dict, key=lang_dict.get)
+
+class embedding_processing:
+
+    def __init__(self, model_path='./model'):
+        self.en_model = spacy.load('en_core_web_sm')
+        self.zh_model = spacy.load('zh_core_web_sm')
+        self.ru_model = ru_core_news_sm.load() # добавьте модель для русского языка
+
+    def model(self,text):
+        lang = detect_lang(text)
+        if lang == "zh-tw":
+            ans_cn = self.zh_model(convert(text)).vector.tolist()
+        else:
+            ans_cn = self.zh_model(text).vector.tolist()
+        ans = self.en_model(text).vector.tolist()
+        return ans_cn+ans
+
+    def embedding(self, text_list):
+        embeddings_list = [self.model(text) for text in text_list]
+        response_embedding = self.transform_embedding_to_dict(embeddings_list,text_list)
+        return response_embedding
+
+    def transform_embedding_to_dict(self, embedding_list, text_list, model_name="text-embedding-ada-002"):
+        prompt_tokens = sum(len(text) for text in text_list)
+        total_tokens = sum(len(embedding) for embedding in embedding_list)
+
+        transformed_data = {
+            "data": [
+                {
+                    "embedding": embedding,
+                    "index": index,
+                    "object": "embedding"
+                }
+                for index, embedding in enumerate(embedding_list)
+            ],
+            "model": model_name,
+            "object": "list",
+            "usage": {
+                "prompt_tokens": prompt_tokens,
+                "total_tokens": total_tokens
+            }
+        }
+        return transformed_data

configs/ds_config_chatbot.json

@@ -0,0 +1,17 @@
+{
+    "fp16": {
+        "enabled": false
+    },
+    "bf16": {
+        "enabled": true
+    },
+    "comms_logger": {
+        "enabled": false,
+        "verbose": false,
+        "prof_all": false,
+        "debug": false
+    },
+    "steps_per_print": 20000000000000000,
+    "train_micro_batch_size_per_gpu": 1,
+    "wall_clock_breakdown": false
+}

docker-compose/.env

@@ -0,0 +1,9 @@
+LANG=ru
+# Paste ur email below
+EMAIL=acme@example.com
+TRAEFIK_USER=admin
+CERT_RESOLVER=letsencrypt
+# To change password use " htpasswd -nBC 10 admin " (or whatever username u want) and paste below the part after :
+TRAEFIK_PASSWORD_HASH=
+OPENAI_API_KEY=
+DOMAIN=

docker-compose/docker-compose.traefik.yml

@@ -0,0 +1,73 @@
+version: "3.7"
+services:
+
+  traefik:
+    image: traefik:2.4.8
+    container_name: proxy
+    hostname: proxy
+    command:
+      - --entrypoints.http.address=:80
+      - --entrypoints.https.address=:443
+      - --providers.docker=true
+      - --api=false
+      - --log.level=DEBUG
+      - --certificatesresolvers.letsencrypt.acme.httpchallenge=true
+      - --certificatesresolvers.letsencrypt.acme.httpchallenge.entrypoint=http
+      - --certificatesresolvers.letsencrypt.acme.email=${EMAIL}
+      - --certificatesresolvers.letsencrypt.acme.storage=/letsencrypt/acme.json
+    networks:
+      - ngptnet
+    labels:
+      - traefik.enable=true
+      - traefik.docker.network=ngptnet
+      - traefik.http.routers.to-https.rule=HostRegexp(`{host:.+}`)
+      - traefik.http.routers.to-https.entrypoints=http
+      - traefik.http.routers.to-https.middlewares=to-https
+      - traefik.http.middlewares.to-https.redirectscheme.scheme=https
+      - traefik.http.middlewares.basicauth.basicauth.users=${TRAEFIK_USER}:${TRAEFIK_PASSWORD_HASH}
+    ports:
+      - 80:80
+      - 443:443
+    volumes:
+      - acmes:/letsencrypt
+      - /var/run/docker.sock:/var/run/docker.sock:ro
+
+  neurogengpt:
+    image: neurogen/neurogengpt:latest
+    build:
+      context: ../
+      dockerfile: Dockerfile
+    container_name: neurogengpt
+    hostname: neurogengpt
+    environment:
+      - SUBF=/sub
+    env_file:
+      - .env
+    networks:
+      - ngptnet
+    labels:
+      - traefik.enable=true
+      - traefik.docker.network=ngptnet
+      # WebUI config
+      - traefik.http.routers.ngpt-webui.rule=Host(`${DOMAIN}`)
+      - traefik.http.routers.ngpt-webui.entrypoints=https
+      - traefik.http.routers.ngpt-webui.tls=true
+      - traefik.http.routers.ngpt-webui.tls.certresolver=${CERT_RESOLVER}
+      - traefik.http.routers.ngpt-webui.service=ngpt-webui
+      - traefik.http.services.ngpt-webui.loadbalancer.server.port=7860
+      - traefik.http.routers.ngpt-webui.middlewares=basicauth
+      # API config
+      - traefik.http.routers.ngpt-api.rule=Host(`${DOMAIN}`) && PathPrefix(`/api`)
+      - traefik.http.routers.ngpt-api.middlewares=api-stripprefix
+      - traefik.http.middlewares.api-stripprefix.stripprefix.prefixes=/api
+      - traefik.http.routers.ngpt-api.entrypoints=https
+      - traefik.http.routers.ngpt-api.service=ngpt-api
+      - traefik.http.services.ngpt-api.loadbalancer.server.port=1337
+    volumes:
+      - ../config.json:/app/config.json
+
+volumes:
+  acmes:
+
+networks:
+  ngptnet:

docker-compose/docker-compose.yml

@@ -0,0 +1,16 @@
+version: "3.10"
+
+services:
+  neurogengpt:
+    build:
+      context: ../
+      dockerfile: Dockerfile
+    ports:
+      - "7860:7860"
+      - "1337:1337"
+    volumes:
+      - ../config.json:/app/config.json
+    environment:
+      - SUBF=/sub
+    env_file:
+      - .env

dockerfile

@@ -0,0 +1,28 @@
+# Stage 1: Build
+
+FROM python:3.10-slim-buster as builder
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y --no-install-recommends build-essential git
+COPY requirements.txt .
+RUN pip install --no-cache-dir --user -r requirements.txt
+
+FROM python:3.10-slim-buster
+
+WORKDIR /app
+
+COPY --from=builder /root/.local /root/.local
+ENV PATH=/root/.local/bin:$PATH
+COPY . .
+RUN python -m spacy download ru_core_news_sm && \
+    python -m spacy download en_core_web_sm && \
+    python -m spacy download zh_core_web_sm
+RUN chmod +x entrypoint.sh
+
+EXPOSE 7860
+EXPOSE 1337
+
+ENV LANG=ru
+
+CMD ["./entrypoint.sh"]

endpoint.py

@@ -0,0 +1,21 @@
+import socket
+import nest_asyncio
+from backend.backend import app
+from waitress import serve
+
+nest_asyncio.apply()
+
+site_config = {
+        'host': '0.0.0.0',
+        'port': 1337,
+        'debug': False
+         }
+
+if __name__ == "__main__":
+    hostname = socket.gethostname()
+    ip_address = socket.gethostbyname(hostname)
+
+    print(f"Running on http://127.0.0.1:{site_config['port']}")
+    print(f"Running on http://{ip_address}:{site_config['port']}")
+
+    serve(app, host='0.0.0.0', port=site_config['port'],threads=4)

entrypoint.sh

@@ -0,0 +1,13 @@
+#!/bin/bash
+LANG_VALUE="$LANG"
+
+if [[ "$LANG_VALUE" == "en" ]]; then
+    echo "Running $LANG version"
+    python webui_en.py
+elif [[ "$LANG_VALUE" == "ru" ]]; then
+    echo "Запускается $LANG версия"
+    python webui_ru.py
+else
+    echo "Недопустимое значение переменной окружения LANG. Поддерживаемые значения: en, ru"
+    exit 1
+fi

g4f/Provider/AItianhu.py

@@ -0,0 +1,77 @@
+from __future__ import annotations
+
+import json
+
+from ..typing import AsyncResult, Messages
+from ..requests import StreamSession
+from .base_provider import AsyncGeneratorProvider, format_prompt, get_cookies
+
+
+class AItianhu(AsyncGeneratorProvider):
+    url = "https://www.aitianhu.com"
+    working = True
+    supports_gpt_35_turbo = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        cookies: dict = None,
+        timeout: int = 120,
+        **kwargs
+    ) -> AsyncResult:
+        if not cookies:
+            cookies = get_cookies("www.aitianhu.com")
+        data = {
+            "prompt": format_prompt(messages),
+            "options": {},
+            "systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.",
+            "temperature": 0.8,
+            "top_p": 1,
+            **kwargs
+        }
+        headers = {
+            "Authority": cls.url,
+            "Accept": "application/json, text/plain, */*",
+            "Origin": cls.url,
+            "Referer": f"{cls.url}/"
+        }
+        async with StreamSession(
+            headers=headers,
+            cookies=cookies,
+            timeout=timeout,
+            proxies={"https": proxy},
+            impersonate="chrome107",
+            verify=False
+        ) as session:
+            async with session.post(f"{cls.url}/api/chat-process", json=data) as response:
+                response.raise_for_status()
+                async for line in response.iter_lines():
+                    if line == b"<script>":
+                        raise RuntimeError("Solve challenge and pass cookies")
+                    if b"platform's risk control" in line:
+                        raise RuntimeError("Platform's Risk Control")
+                    line = json.loads(line)
+                    if "detail" in line:
+                        content = line["detail"]["choices"][0]["delta"].get("content")
+                        if content:
+                            yield content
+                    else:
+                        raise RuntimeError(f"Response: {line}")
+
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("proxy", "str"),
+            ("temperature", "float"),
+            ("top_p", "int"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/AItianhuSpace.py

@@ -0,0 +1,92 @@
+from __future__ import annotations
+
+import random, json
+
+from ..typing import AsyncResult, Messages
+from ..requests import StreamSession
+from .base_provider import AsyncGeneratorProvider, format_prompt, get_cookies
+
+domains = {
+    "gpt-3.5-turbo": "aitianhu.space",
+    "gpt-4": "aitianhu.website",
+}
+
+class AItianhuSpace(AsyncGeneratorProvider):
+    url = "https://chat3.aiyunos.top/"
+    working = True
+    supports_gpt_35_turbo = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        domain: str = None,
+        cookies: dict = None,
+        timeout: int = 120,
+        **kwargs
+    ) -> AsyncResult:
+        if not model:
+            model = "gpt-3.5-turbo"
+        elif not model in domains:
+            raise ValueError(f"Model are not supported: {model}")
+        if not domain:
+            chars = 'abcdefghijklmnopqrstuvwxyz0123456789'
+            rand = ''.join(random.choice(chars) for _ in range(6))
+            domain = f"{rand}.{domains[model]}"
+        if not cookies:
+            cookies = get_cookies(domain)
+        
+        url = f'https://{domain}'
+        async with StreamSession(
+            proxies={"https": proxy},
+            cookies=cookies,
+            timeout=timeout,
+            impersonate="chrome110",
+            verify=False
+        ) as session:
+            data = {
+                "prompt": format_prompt(messages),
+                "options": {},
+                "systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.",
+                "temperature": 0.8,
+                "top_p": 1,
+                **kwargs
+            }
+            headers = {
+                "Authority": url,
+                "Accept": "application/json, text/plain, */*",
+                "Origin": url,
+                "Referer": f"{url}/"
+            }
+            async with session.post(f"{url}/api/chat-process", json=data, headers=headers) as response:
+                response.raise_for_status()
+                async for line in response.iter_lines():
+                    if line == b"<script>":
+                        raise RuntimeError("Solve challenge and pass cookies and a fixed domain")
+                    if b"platform's risk control" in line:
+                        raise RuntimeError("Platform's Risk Control")
+                    line = json.loads(line)
+                    if "detail" in line:
+                        content = line["detail"]["choices"][0]["delta"].get("content")
+                        if content:
+                            yield content
+                    elif "message" in line and "AI-4接口非常昂贵" in line["message"]:
+                        raise RuntimeError("Rate limit for GPT 4 reached")
+                    else:
+                        raise RuntimeError(f"Response: {line}")
+        
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+            ("top_p", "int"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Acytoo.py

@@ -0,0 +1,50 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+
+
+class Acytoo(AsyncGeneratorProvider):
+    url                   = 'https://chat.acytoo.com'
+    working               = True
+    supports_gpt_35_turbo = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        async with ClientSession(
+            headers=_create_header()
+        ) as session:
+            async with session.post(
+                f'{cls.url}/api/completions',
+                proxy=proxy,
+                json=_create_payload(messages, **kwargs)
+            ) as response:
+                response.raise_for_status()
+                async for stream in response.content.iter_any():
+                    if stream:
+                        yield stream.decode()
+
+
+def _create_header():
+    return {
+        'accept': '*/*',
+        'content-type': 'application/json',
+    }
+
+
+def _create_payload(messages: Messages, temperature: float = 0.5, **kwargs):
+    return {
+        'key'         : '',
+        'model'       : 'gpt-3.5-turbo',
+        'messages'    : messages,
+        'temperature' : temperature,
+        'password'    : ''
+    }

g4f/Provider/AiAsk.py

@@ -0,0 +1,45 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+
+class AiAsk(AsyncGeneratorProvider):
+    url = "https://e.aiask.me"
+    supports_gpt_35_turbo = True
+    working = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "accept": "application/json, text/plain, */*",
+            "origin": cls.url,
+            "referer": f"{cls.url}/chat",
+        }
+        async with ClientSession(headers=headers) as session:
+            data = {
+                "continuous": True,
+                "id": "fRMSQtuHl91A4De9cCvKD",
+                "list": messages,
+                "models": "0",
+                "prompt": "",
+                "temperature": kwargs.get("temperature", 0.5),
+                "title": "",
+            }
+            buffer = ""
+            rate_limit = "您的免费额度不够使用这个模型啦，请点击右上角登录继续使用！"
+            async with session.post(f"{cls.url}/v1/chat/gpt/", json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for chunk in response.content.iter_any():
+                    buffer += chunk.decode()
+                    if not rate_limit.startswith(buffer):
+                        yield buffer
+                        buffer = ""
+                    elif buffer == rate_limit:
+                        raise RuntimeError("Rate limit reached")

g4f/Provider/Aibn.py

@@ -0,0 +1,57 @@
+from __future__ import annotations
+
+import time
+import hashlib
+
+from ..typing import AsyncResult, Messages
+from ..requests import StreamSession
+from .base_provider import AsyncGeneratorProvider
+
+
+class Aibn(AsyncGeneratorProvider):
+    url                   = "https://aibn.cc"
+    supports_gpt_35_turbo = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        timeout: int = 120,
+        **kwargs
+    ) -> AsyncResult:
+        async with StreamSession(
+            impersonate="chrome107",
+            proxies={"https": proxy},
+            timeout=timeout
+        ) as session:
+            timestamp = int(time.time())
+            data = {
+                "messages": messages,
+                "pass": None,
+                "sign": generate_signature(timestamp, messages[-1]["content"]),
+                "time": timestamp
+            }
+            async with session.post(f"{cls.url}/api/generate", json=data) as response:
+                response.raise_for_status()
+                async for chunk in response.iter_content():
+                    yield chunk.decode()
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
+    
+
+def generate_signature(timestamp: int, message: str, secret: str = "undefined"):
+    data = f"{timestamp}:{message}:{secret}"
+    return hashlib.sha256(data.encode()).hexdigest()

g4f/Provider/Aichat.py

@@ -0,0 +1,55 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+
+from ..typing import Messages
+from .base_provider import AsyncProvider, format_prompt
+
+
+class Aichat(AsyncProvider):
+    url                   = "https://chat-gpt.org/chat"
+    working               = True
+    supports_gpt_35_turbo = True
+
+    @staticmethod
+    async def create_async(
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> str:
+        headers = {
+            "authority": "chat-gpt.org",
+            "accept": "*/*",
+            "cache-control": "no-cache",
+            "content-type": "application/json",
+            "origin": "https://chat-gpt.org",
+            "pragma": "no-cache",
+            "referer": "https://chat-gpt.org/chat",
+            "sec-ch-ua-mobile": "?0",
+            "sec-ch-ua-platform": '"macOS"',
+            "sec-fetch-dest": "empty",
+            "sec-fetch-mode": "cors",
+            "sec-fetch-site": "same-origin",
+            "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36",
+        }
+        async with ClientSession(
+            headers=headers
+        ) as session:
+            json_data = {
+                "message": format_prompt(messages),
+                "temperature": kwargs.get('temperature', 0.5),
+                "presence_penalty": 0,
+                "top_p": kwargs.get('top_p', 1),
+                "frequency_penalty": 0,
+            }
+            async with session.post(
+                "https://chat-gpt.org/api/text",
+                proxy=proxy,
+                json=json_data
+            ) as response:
+                response.raise_for_status()
+                result = await response.json()
+                if not result['response']:
+                    raise Exception(f"Error Response: {result}")
+                return result["message"]

g4f/Provider/Ails.py

@@ -0,0 +1,106 @@
+from __future__ import annotations
+
+import hashlib
+import time
+import uuid
+import json
+from datetime import datetime
+from aiohttp import ClientSession
+
+from ..typing import SHA256, AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+
+
+class Ails(AsyncGeneratorProvider):
+    url: str              = "https://ai.ls"
+    working               = True
+    supports_gpt_35_turbo = True
+
+    @staticmethod
+    async def create_async_generator(
+        model: str,
+        messages: Messages,
+        stream: bool,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "authority": "api.caipacity.com",
+            "accept": "*/*",
+            "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
+            "authorization": "Bearer free",
+            "client-id": str(uuid.uuid4()),
+            "client-v": "0.1.278",
+            "content-type": "application/json",
+            "origin": "https://ai.ls",
+            "referer": "https://ai.ls/",
+            "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
+            "sec-ch-ua-mobile": "?0",
+            "sec-ch-ua-platform": '"Windows"',
+            "sec-fetch-dest": "empty",
+            "sec-fetch-mode": "cors",
+            "sec-fetch-site": "cross-site",
+            "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
+            "from-url": "https://ai.ls/?chat=1"
+        }
+        async with ClientSession(
+            headers=headers
+        ) as session:
+            timestamp = _format_timestamp(int(time.time() * 1000))
+            json_data = {
+                "model": "gpt-3.5-turbo",
+                "temperature": kwargs.get("temperature", 0.6),
+                "stream": True,
+                "messages": messages,
+                "d": datetime.now().strftime("%Y-%m-%d"),
+                "t": timestamp,
+                "s": _hash({"t": timestamp, "m": messages[-1]["content"]}),
+            }
+            async with session.post(
+                "https://api.caipacity.com/v1/chat/completions",
+                proxy=proxy,
+                json=json_data
+            ) as response:
+                response.raise_for_status()
+                start = "data: "
+                async for line in response.content:
+                    line = line.decode('utf-8')
+                    if line.startswith(start) and line != "data: [DONE]":
+                        line = line[len(start):-1]
+                        line = json.loads(line)
+                        token = line["choices"][0]["delta"].get("content")
+                        if token:
+                            if "ai.ls" in token or "ai.ci" in token:
+                                raise Exception("Response Error: " + token)
+                            yield token
+
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
+
+
+def _hash(json_data: dict[str, str]) -> SHA256:
+    base_string: str = "%s:%s:%s:%s" % (
+        json_data["t"],
+        json_data["m"],
+        "WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf",
+        len(json_data["m"]),
+    )
+
+    return SHA256(hashlib.sha256(base_string.encode()).hexdigest())
+
+
+def _format_timestamp(timestamp: int) -> str:
+    e = timestamp
+    n = e % 10
+    r = n + 1 if n % 2 == 0 else n
+    return str(e - n + r)

g4f/Provider/Aivvm.py

@@ -0,0 +1,84 @@
+from __future__ import annotations
+import requests
+
+from .base_provider import BaseProvider
+from ..typing import CreateResult
+from json import dumps
+
+# to recreate this easily, send a post request to https://chat.aivvm.com/api/models
+models = {
+    'gpt-3.5-turbo': {'id': 'gpt-3.5-turbo', 'name': 'GPT-3.5'},
+    'gpt-3.5-turbo-0613': {'id': 'gpt-3.5-turbo-0613', 'name': 'GPT-3.5-0613'},
+    'gpt-3.5-turbo-16k': {'id': 'gpt-3.5-turbo-16k', 'name': 'GPT-3.5-16K'},
+    'gpt-3.5-turbo-16k-0613': {'id': 'gpt-3.5-turbo-16k-0613', 'name': 'GPT-3.5-16K-0613'},
+    'gpt-4': {'id': 'gpt-4', 'name': 'GPT-4'},
+    'gpt-4-0613': {'id': 'gpt-4-0613', 'name': 'GPT-4-0613'},
+    'gpt-4-32k': {'id': 'gpt-4-32k', 'name': 'GPT-4-32K'},
+    'gpt-4-32k-0613': {'id': 'gpt-4-32k-0613', 'name': 'GPT-4-32K-0613'},
+}
+
+class Aivvm(BaseProvider):
+    url                   = 'https://chat.aivvm.com'
+    supports_stream       = True
+    working               = False
+    supports_gpt_35_turbo = True
+    supports_gpt_4        = True
+
+    @classmethod
+    def create_completion(cls,
+        model: str,
+        messages: list[dict[str, str]],
+        stream: bool,
+        **kwargs
+    ) -> CreateResult:
+        if not model:
+            model = "gpt-3.5-turbo"
+        elif model not in models:
+            raise ValueError(f"Model is not supported: {model}")
+
+        json_data = {
+            "model"       : models[model],
+            "messages"    : messages,
+            "key"         : "",
+            "prompt"      : kwargs.get("system_message", "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown."),
+            "temperature" : kwargs.get("temperature", 0.7)
+        }
+
+        data = dumps(json_data)
+
+        headers = {
+            "accept"            : "text/event-stream",
+            "accept-language"   : "en-US,en;q=0.9",
+            "content-type"      : "application/json",
+            "content-length"    : str(len(data)),
+            "sec-ch-ua"         : "\"Chrome\";v=\"117\", \"Not;A=Brand\";v=\"8\", \"Chromium\";v=\"117\"",
+            "sec-ch-ua-mobile"  : "?0",
+            "sec-ch-ua-platform": "\"Windows\"",
+            "sec-fetch-dest"    : "empty",
+            "sec-fetch-mode"    : "cors",
+            "sec-fetch-site"    : "same-origin",
+            "sec-gpc"           : "1",
+            "referrer"          : "https://chat.aivvm.com/",
+            "user-agent"        : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36"
+        }
+
+        response = requests.post("https://chat.aivvm.com/api/chat", headers=headers, data=data, stream=True)
+        response.raise_for_status()
+
+        for chunk in response.iter_content(chunk_size=4096):
+            try:
+                yield chunk.decode("utf-8")
+            except UnicodeDecodeError:
+                yield chunk.decode("unicode-escape")
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ('model', 'str'),
+            ('messages', 'list[dict[str, str]]'),
+            ('stream', 'bool'),
+            ('temperature', 'float'),
+        ]
+        param = ', '.join([': '.join(p) for p in params])
+        return f'g4f.provider.{cls.__name__} supports: ({param})'

g4f/Provider/Bing.py

@@ -0,0 +1,302 @@
+from __future__ import annotations
+
+import random
+import json
+import os
+import uuid
+import urllib.parse
+from aiohttp        import ClientSession, ClientTimeout
+from ..typing       import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+
+class Tones():
+    creative = "Creative"
+    balanced = "Balanced"
+    precise = "Precise"
+
+default_cookies = {
+    'SRCHD'         : 'AF=NOFORM',
+    'PPLState'      : '1',
+    'KievRPSSecAuth': '',
+    'SUID'          : '',
+    'SRCHUSR'       : '',
+    'SRCHHPGUSR'    : '',
+}
+
+class Bing(AsyncGeneratorProvider):
+    url             = "https://bing.com/chat"
+    working         = True
+    supports_gpt_4  = True
+        
+    @staticmethod
+    def create_async_generator(
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        cookies: dict = None,
+        tone: str = Tones.creative,
+        **kwargs
+    ) -> AsyncResult:
+        if len(messages) < 2:
+            prompt = messages[0]["content"]
+            context = None
+        else:
+            prompt = messages[-1]["content"]
+            context = create_context(messages[:-1])
+        
+        if not cookies or "SRCHD" not in cookies:
+            cookies = default_cookies
+        return stream_generate(prompt, tone, context, proxy, cookies)
+
+def create_context(messages: Messages):
+    context = "".join(f"[{message['role']}](#message)\n{message['content']}\n\n" for message in messages)
+
+    return context
+
+class Conversation():
+    def __init__(self, conversationId: str, clientId: str, conversationSignature: str) -> None:
+        self.conversationId = conversationId
+        self.clientId = clientId
+        self.conversationSignature = conversationSignature
+
+async def create_conversation(session: ClientSession, proxy: str = None) -> Conversation:
+    url = 'https://www.bing.com/turing/conversation/create?bundleVersion=1.1150.3'
+    
+    async with await session.get(url, proxy=proxy) as response:
+        data = await response.json()
+        
+        conversationId = data.get('conversationId')
+        clientId = data.get('clientId')
+        conversationSignature = response.headers.get('X-Sydney-Encryptedconversationsignature')
+
+        if not conversationId or not clientId or not conversationSignature:
+            raise Exception('Failed to create conversation.')
+        
+        return Conversation(conversationId, clientId, conversationSignature)
+
+async def list_conversations(session: ClientSession) -> list:
+    url = "https://www.bing.com/turing/conversation/chats"
+    async with session.get(url) as response:
+        response = await response.json()
+        return response["chats"]
+        
+async def delete_conversation(session: ClientSession, conversation: Conversation, proxy: str = None) -> list:
+    url = "https://sydney.bing.com/sydney/DeleteSingleConversation"
+    json = {
+        "conversationId": conversation.conversationId,
+        "conversationSignature": conversation.conversationSignature,
+        "participant": {"id": conversation.clientId},
+        "source": "cib",
+        "optionsSets": ["autosave"]
+    }
+    async with session.post(url, json=json, proxy=proxy) as response:
+        response = await response.json()
+        return response["result"]["value"] == "Success"
+
+class Defaults:
+    delimiter = "\x1e"
+    ip_address = f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"
+
+    allowedMessageTypes = [
+        "Chat",
+        "Disengaged",
+        "AdsQuery",
+        "SemanticSerp",
+        "GenerateContentQuery",
+        "SearchQuery",
+        "ActionRequest",
+        "Context",
+        "Progress",
+        "AdsQuery",
+        "SemanticSerp",
+    ]
+
+    sliceIds = [
+        "winmuid3tf",
+        "osbsdusgreccf",
+        "ttstmout",
+        "crchatrev",
+        "winlongmsgtf",
+        "ctrlworkpay",
+        "norespwtf",
+        "tempcacheread",
+        "temptacache",
+        "505scss0",
+        "508jbcars0",
+        "515enbotdets0",
+        "5082tsports",
+        "515vaoprvs",
+        "424dagslnv1s0",
+        "kcimgattcf",
+        "427startpms0",
+    ]
+
+    location = {
+        "locale": "en-US",
+        "market": "en-US",
+        "region": "US",
+        "locationHints": [
+            {
+                "country": "United States",
+                "state": "California",
+                "city": "Los Angeles",
+                "timezoneoffset": 8,
+                "countryConfidence": 8,
+                "Center": {"Latitude": 34.0536909, "Longitude": -118.242766},
+                "RegionType": 2,
+                "SourceType": 1,
+            }
+        ],
+    }
+
+    headers = {
+        'accept': '*/*',
+        'accept-language': 'en-US,en;q=0.9',
+        'cache-control': 'max-age=0',
+        'sec-ch-ua': '"Chromium";v="110", "Not A(Brand";v="24", "Microsoft Edge";v="110"',
+        'sec-ch-ua-arch': '"x86"',
+        'sec-ch-ua-bitness': '"64"',
+        'sec-ch-ua-full-version': '"110.0.1587.69"',
+        'sec-ch-ua-full-version-list': '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
+        'sec-ch-ua-mobile': '?0',
+        'sec-ch-ua-model': '""',
+        'sec-ch-ua-platform': '"Windows"',
+        'sec-ch-ua-platform-version': '"15.0.0"',
+        'sec-fetch-dest': 'document',
+        'sec-fetch-mode': 'navigate',
+        'sec-fetch-site': 'none',
+        'sec-fetch-user': '?1',
+        'upgrade-insecure-requests': '1',
+        'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69',
+        'x-edge-shopping-flag': '1',
+        'x-forwarded-for': ip_address,
+    }
+
+    optionsSets = [
+        'saharasugg',
+        'enablenewsfc',
+        'clgalileo',
+        'gencontentv3',
+        "nlu_direct_response_filter",
+        "deepleo",
+        "disable_emoji_spoken_text",
+        "responsible_ai_policy_235",
+        "enablemm",
+        "h3precise"
+        "dtappid",
+        "cricinfo",
+        "cricinfov2",
+        "dv3sugg",
+        "nojbfedge"
+    ]
+
+def format_message(msg: dict) -> str:
+    return json.dumps(msg, ensure_ascii=False) + Defaults.delimiter
+
+def create_message(conversation: Conversation, prompt: str, tone: str, context: str=None) -> str:
+    request_id = str(uuid.uuid4())
+    struct = {
+        'arguments': [
+            {
+                'source': 'cib',
+                'optionsSets': Defaults.optionsSets,
+                'allowedMessageTypes': Defaults.allowedMessageTypes,
+                'sliceIds': Defaults.sliceIds,
+                'traceId': os.urandom(16).hex(),
+                'isStartOfSession': True,
+                'requestId': request_id,
+                'message': Defaults.location | {
+                    'author': 'user',
+                    'inputMethod': 'Keyboard',
+                    'text': prompt,
+                    'messageType': 'Chat',
+                    'requestId': request_id,
+                    'messageId': request_id,
+                },
+                'tone': tone,
+                'spokenTextMode': 'None',
+                'conversationId': conversation.conversationId,
+                'participant': {
+                    'id': conversation.clientId
+                },
+            }
+        ],
+        'invocationId': '1',
+        'target': 'chat',
+        'type': 4
+    }
+
+    if context:
+        struct['arguments'][0]['previousMessages'] = [{
+            "author": "user",
+            "description": context,
+            "contextType": "WebPage",
+            "messageType": "Context",
+            "messageId": "discover-web--page-ping-mriduna-----"
+        }]
+    return format_message(struct)
+
+async def stream_generate(
+        prompt: str,
+        tone: str,
+        context: str = None,
+        proxy: str = None,
+        cookies: dict = None
+    ):
+    async with ClientSession(
+        timeout=ClientTimeout(total=900),
+        cookies=cookies,
+        headers=Defaults.headers,
+    ) as session:
+        conversation = await create_conversation(session, proxy)
+        try:
+            async with session.ws_connect(
+                f'wss://sydney.bing.com/sydney/ChatHub',
+                autoping=False,
+                params={'sec_access_token': conversation.conversationSignature},
+                proxy=proxy
+            ) as wss:
+                
+                await wss.send_str(format_message({'protocol': 'json', 'version': 1}))
+                await wss.receive(timeout=900)
+                await wss.send_str(create_message(conversation, prompt, tone, context))
+
+                response_txt = ''
+                returned_text = ''
+                final = False
+
+                while not final:
+                    msg = await wss.receive(timeout=900)
+                    objects = msg.data.split(Defaults.delimiter)
+                    for obj in objects:
+                        if obj is None or not obj:
+                            continue
+                        
+                        response = json.loads(obj)
+                        if response.get('type') == 1 and response['arguments'][0].get('messages'):
+                            message = response['arguments'][0]['messages'][0]
+                            if (message['contentOrigin'] != 'Apology'):
+                                if 'adaptiveCards' in message:
+                                    card = message['adaptiveCards'][0]['body'][0]
+                                    if "text" in card:
+                                        response_txt = card.get('text')
+                                    if message.get('messageType'):
+                                        inline_txt = card['inlines'][0].get('text')
+                                        response_txt += inline_txt + '\n'
+                                elif message.get('contentType') == "IMAGE":
+                                    query = urllib.parse.quote(message.get('text'))
+                                    url = f"\nhttps://www.bing.com/images/create?q={query}"
+                                    response_txt += url
+                                    final = True
+                            if response_txt.startswith(returned_text):
+                                new = response_txt[len(returned_text):]
+                                if new != "\n":
+                                    yield new
+                                    returned_text = response_txt
+                        elif response.get('type') == 2:
+                            result = response['item']['result']
+                            if result.get('error'):
+                                raise Exception(f"{result['value']}: {result['message']}")
+                            return
+        finally:
+            await delete_conversation(session, conversation, proxy)

g4f/Provider/ChatBase.py

@@ -0,0 +1,63 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+
+from ..typing       import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+
+
+class ChatBase(AsyncGeneratorProvider):
+    url                   = "https://www.chatbase.co"
+    supports_gpt_35_turbo = True
+    supports_gpt_4        = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        if model == "gpt-4":
+            chat_id = "quran---tafseer-saadi-pdf-wbgknt7zn"
+        elif model == "gpt-3.5-turbo" or not model:
+            chat_id = "chatbase--1--pdf-p680fxvnm"
+        else:
+            raise ValueError(f"Model are not supported: {model}")
+        headers = {
+            "User-Agent"         : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
+            "Accept"             : "*/*",
+            "Accept-language"    : "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
+            "Origin"             : cls.url,
+            "Referer"            : cls.url + "/",
+            "Sec-Fetch-Dest"     : "empty",
+            "Sec-Fetch-Mode"     : "cors",
+            "Sec-Fetch-Site"     : "same-origin",
+        }
+        async with ClientSession(
+            headers=headers
+        ) as session:
+            data = {
+                "messages": messages,
+                "captchaCode": "hadsa",
+                "chatId": chat_id,
+                "conversationId": f"kcXpqEnqUie3dnJlsRi_O-{chat_id}"
+            }
+            async with session.post("https://www.chatbase.co/api/fe/chat", json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for stream in response.content.iter_any():
+                    yield stream.decode()
+
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/ChatForAi.py

@@ -0,0 +1,54 @@
+from __future__ import annotations
+
+from ..typing import AsyncResult, Messages
+from ..requests import StreamSession
+from .base_provider import AsyncGeneratorProvider
+
+
+class ChatForAi(AsyncGeneratorProvider):
+    url                   = "https://chatforai.com"
+    supports_gpt_35_turbo = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        timeout: int = 120,
+        **kwargs
+    ) -> AsyncResult:
+        async with StreamSession(impersonate="chrome107", proxies={"https": proxy}, timeout=timeout) as session:
+            prompt = messages[-1]["content"]
+            data = {
+                "conversationId": "temp",
+                "conversationType": "chat_continuous",
+                "botId": "chat_continuous",
+                "globalSettings":{
+                    "baseUrl": "https://api.openai.com",
+                    "model": model if model else "gpt-3.5-turbo",
+                    "messageHistorySize": 5,
+                    "temperature": 0.7,
+                    "top_p": 1,
+                    **kwargs
+                },
+                "botSettings": {},
+                "prompt": prompt,
+                "messages": messages,
+            }
+            async with session.post(f"{cls.url}/api/handle/provider-openai", json=data) as response:
+                response.raise_for_status()
+                async for chunk in response.iter_content():
+                    yield chunk.decode()
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Chatgpt4Online.py

@@ -0,0 +1,40 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ..typing       import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+
+
+class Chatgpt4Online(AsyncGeneratorProvider):
+    url                   = "https://chatgpt4online.org"
+    supports_gpt_35_turbo = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        async with ClientSession() as session:
+            data = {
+                "botId": "default",
+                "customId": None,
+                "session": "N/A",
+                "chatId": "",
+                "contextId": 58,
+                "messages": messages,
+                "newMessage": messages[-1]["content"],
+                "stream": True
+            }
+            async with session.post(cls.url + "/wp-json/mwai-ui/v1/chats/submit", json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for line in response.content:
+                    if line.startswith(b"data: "):
+                        line = json.loads(line[6:])
+                        if line["type"] == "live":
+                            yield line["data"]

g4f/Provider/ChatgptAi.py

@@ -0,0 +1,75 @@
+from __future__ import annotations
+
+import re
+from aiohttp import ClientSession
+
+from ..typing import Messages
+from .base_provider import AsyncProvider, format_prompt
+
+
+class ChatgptAi(AsyncProvider):
+    url: str = "https://chatgpt.ai/"
+    working = True
+    supports_gpt_35_turbo  = True
+    _nonce = None
+    _post_id = None
+    _bot_id = None
+
+    @classmethod
+    async def create_async(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> str:
+        headers = {
+            "authority"          : "chatgpt.ai",
+            "accept"             : "*/*",
+            "accept-language"    : "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
+            "cache-control"      : "no-cache",
+            "origin"             : "https://chatgpt.ai",
+            "pragma"             : "no-cache",
+            "referer"            : cls.url,
+            "sec-ch-ua"          : '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
+            "sec-ch-ua-mobile"   : "?0",
+            "sec-ch-ua-platform" : '"Windows"',
+            "sec-fetch-dest"     : "empty",
+            "sec-fetch-mode"     : "cors",
+            "sec-fetch-site"     : "same-origin",
+            "user-agent"         : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
+        }
+        async with ClientSession(
+            headers=headers
+        ) as session:
+            if not cls._nonce:
+                async with session.get(cls.url, proxy=proxy) as response:
+                    response.raise_for_status()
+                    text = await response.text()
+                result = re.search(r'data-nonce="(.*?)"', text)
+                if result:
+                    cls._nonce = result.group(1)
+                result = re.search(r'data-post-id="(.*?)"', text)
+                if result:
+                    cls._post_id = result.group(1)
+                result = re.search(r'data-bot-id="(.*?)"', text)
+                if result:
+                    cls._bot_id = result.group(1)
+                if not cls._nonce or not cls._post_id or not cls._bot_id:
+                    raise RuntimeError("Nonce, post-id or bot-id not found")
+
+            data = {
+                "_wpnonce": cls._nonce,
+                "post_id": cls._post_id,
+                "url": "https://chatgpt.ai",
+                "action": "wpaicg_chat_shortcode_message",
+                "message": format_prompt(messages),
+                "bot_id": cls._bot_id
+            }
+            async with session.post(
+                "https://chatgpt.ai/wp-admin/admin-ajax.php",
+                proxy=proxy,
+                data=data
+            ) as response:
+                response.raise_for_status()
+                return (await response.json())["data"]

g4f/Provider/ChatgptDemo.py

@@ -0,0 +1,61 @@
+from __future__ import annotations
+
+import time, json, re
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt
+
+class ChatgptDemo(AsyncGeneratorProvider):
+    url = "https://chat.chatgptdemo.net"
+    supports_gpt_35_turbo = True
+    working = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "authority": "chat.chatgptdemo.net",
+            "accept-language": "de-DE,de;q=0.9,en-DE;q=0.8,en;q=0.7,en-US",
+            "origin": "https://chat.chatgptdemo.net",
+            "referer": "https://chat.chatgptdemo.net/",
+            "sec-ch-ua": '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
+            "sec-ch-ua-mobile": "?0",
+            "sec-ch-ua-platform": '"Linux"',
+            "sec-fetch-dest": "empty",
+            "sec-fetch-mode": "cors",
+            "sec-fetch-site": "same-origin",
+            "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36"
+        }
+        async with ClientSession(headers=headers) as session:
+            async with session.get(f"{cls.url}/", proxy=proxy) as response:
+                response.raise_for_status()
+                response = await response.text()
+                result = re.search(r'<div id="USERID" style="display: none">(.*?)<\/div>', response)
+                if not result:
+                    raise RuntimeError("No user id found")
+                user_id = result.group(1)
+            async with session.post(f"{cls.url}/new_chat", json={"user_id": user_id}, proxy=proxy) as response:
+                response.raise_for_status()
+                chat_id = (await response.json())["id_"]
+            if not chat_id:
+                raise RuntimeError("Could not create new chat")
+            data = {
+                "question": format_prompt(messages),
+                "chat_id": chat_id,
+                "timestamp": int(time.time()*1000),
+            }
+            async with session.post(f"{cls.url}/chat_api_stream", json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for line in response.content:
+                    if line.startswith(b"data: "):
+                        line = json.loads(line[6:-1])
+                        chunk = line["choices"][0]["delta"].get("content")
+                        if chunk:
+                            yield chunk

g4f/Provider/ChatgptDuo.py

@@ -0,0 +1,58 @@
+from __future__ import annotations
+
+from ..typing import Messages
+from curl_cffi.requests import AsyncSession
+from .base_provider import AsyncProvider, format_prompt
+
+
+class ChatgptDuo(AsyncProvider):
+    url                   = "https://chatgptduo.com"
+    supports_gpt_35_turbo = True
+    working               = True
+
+    @classmethod
+    async def create_async(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        timeout: int = 120,
+        **kwargs
+    ) -> str:
+        async with AsyncSession(
+            impersonate="chrome107",
+            proxies={"https": proxy},
+            timeout=timeout
+        ) as session:
+            prompt = format_prompt(messages),
+            data = {
+                "prompt": prompt,
+                "search": prompt,
+                "purpose": "ask",
+            }
+            response = await session.post(f"{cls.url}/", data=data)
+            response.raise_for_status()
+            data = response.json()
+
+            cls._sources = [{
+                "title": source["title"],
+                "url": source["link"],
+                "snippet": source["snippet"]
+            } for source in data["results"]]
+
+            return data["answer"]
+
+    @classmethod
+    def get_sources(cls):
+        return cls._sources
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/ChatgptX.py

@@ -0,0 +1,98 @@
+from __future__ import annotations
+
+import re
+import json
+
+from aiohttp import ClientSession
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt
+
+
+class ChatgptX(AsyncGeneratorProvider):
+    url = "https://chatgptx.de"
+    supports_gpt_35_turbo = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            'accept-language': 'de-DE,de;q=0.9,en-DE;q=0.8,en;q=0.7,en-US',
+            'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
+            'sec-ch-ua-mobile': '?0',
+            'sec-ch-ua-platform': 'Linux',
+            'sec-fetch-dest': 'empty',
+            'sec-fetch-mode': 'cors',
+            'sec-fetch-site': 'same-origin',
+            'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36',
+        }
+        async with ClientSession(headers=headers) as session:
+            async with session.get(f"{cls.url}/", proxy=proxy) as response:
+                response = await response.text()
+                result = re.search(r'<meta name="csrf-token" content="(.*?)"', response)
+                if result:
+                    csrf_token = result.group(1)
+                result = re.search(r"openconversions\('(.*?)'\)", response)
+                if result:
+                    chat_id = result.group(1)
+                result = re.search(r'<input type="hidden" id="user_id" value="(.*?)"', response)
+                if result:
+                    user_id = result.group(1)
+
+            if not csrf_token or not chat_id or not user_id:
+                raise RuntimeError("Missing csrf_token, chat_id or user_id")
+
+            data = {
+                '_token': csrf_token,
+                'user_id': user_id,
+                'chats_id': chat_id,
+                'prompt': format_prompt(messages),
+                'current_model': "gpt3"
+            }
+            headers = {
+                'authority': 'chatgptx.de',
+                'accept': 'application/json, text/javascript, */*; q=0.01',
+                'origin': cls.url,
+                'referer': f'{cls.url}/',
+                'x-csrf-token': csrf_token,
+                'x-requested-with': 'XMLHttpRequest'
+            }
+            async with session.post(cls.url + '/sendchat', data=data, headers=headers, proxy=proxy) as response:
+                response.raise_for_status()
+                chat = await response.json()
+                if "response" not in chat or not chat["response"]:
+                    raise RuntimeError(f'Response: {chat}')
+            headers = {
+                'authority': 'chatgptx.de',
+                'accept': 'text/event-stream',
+                'referer': f'{cls.url}/',
+                'x-csrf-token': csrf_token,
+                'x-requested-with': 'XMLHttpRequest'
+            }
+            data = {
+                "user_id": user_id,
+                "chats_id": chat_id,
+                "prompt": format_prompt(messages),
+                "current_model": "gpt3",
+                "conversions_id": chat["conversions_id"],
+                "ass_conversions_id": chat["ass_conversions_id"],
+            }
+            async with session.get(f'{cls.url}/chats_stream', params=data, headers=headers, proxy=proxy) as response:
+                response.raise_for_status()
+                async for line in response.content:
+                    if line.startswith(b"data: "):
+                        row = line[6:-1]
+                        if row == b"[DONE]":
+                            break
+                        try:
+                            content = json.loads(row)["choices"][0]["delta"].get("content")
+                        except:
+                            raise RuntimeError(f"Broken line: {line.decode()}")
+                        if content:
+                            yield content

g4f/Provider/Cromicle.py

@@ -0,0 +1,50 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+from hashlib import sha256
+from ..typing import AsyncResult, Messages, Dict
+
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt
+
+
+class Cromicle(AsyncGeneratorProvider):
+    url: str = 'https://cromicle.top'
+    working: bool = True
+    supports_gpt_35_turbo: bool = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        async with ClientSession(
+            headers=_create_header()
+        ) as session:
+            async with session.post(
+                f'{cls.url}/chat',
+                proxy=proxy,
+                json=_create_payload(format_prompt(messages))
+            ) as response:
+                response.raise_for_status()
+                async for stream in response.content.iter_any():
+                    if stream:
+                        yield stream.decode()
+
+
+def _create_header() -> Dict[str, str]:
+    return {
+        'accept': '*/*',
+        'content-type': 'application/json',
+    }
+
+
+def _create_payload(message: str) -> Dict[str, str]:
+    return {
+        'message': message,
+        'token': 'abc',
+        'hash': sha256('abc'.encode() + message.encode()).hexdigest()
+    }

g4f/Provider/FreeGpt.py

@@ -0,0 +1,60 @@
+from __future__ import annotations
+
+import time, hashlib, random
+
+from ..typing import AsyncResult, Messages
+from ..requests import StreamSession
+from .base_provider import AsyncGeneratorProvider
+
+domains = [
+    'https://k.aifree.site',
+    'https://p.aifree.site'
+]
+
+class FreeGpt(AsyncGeneratorProvider):
+    url                   = "https://freegpts1.aifree.site/"
+    supports_gpt_35_turbo = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        timeout: int = 120,
+        **kwargs
+    ) -> AsyncResult:
+        async with StreamSession(
+            impersonate="chrome107",
+            timeout=timeout,
+            proxies={"https": proxy}
+        ) as session:
+            prompt = messages[-1]["content"]
+            timestamp = int(time.time())
+            data = {
+                "messages": messages,
+                "time": timestamp,
+                "pass": None,
+                "sign": generate_signature(timestamp, prompt)
+            }
+            url = random.choice(domains)
+            async with session.post(f"{url}/api/generate", json=data) as response:
+                response.raise_for_status()
+                async for chunk in response.iter_content():
+                    yield chunk.decode()
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
+    
+def generate_signature(timestamp: int, message: str, secret: str = ""):
+    data = f"{timestamp}:{message}:{secret}"
+    return hashlib.sha256(data.encode()).hexdigest()

g4f/Provider/GPTalk.py

@@ -0,0 +1,84 @@
+from __future__ import annotations
+
+import secrets, time, json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt
+
+
+class GPTalk(AsyncGeneratorProvider):
+    url = "https://gptalk.net"
+    supports_gpt_35_turbo = True
+    working = True
+    _auth = None
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        if not model:
+            model = "gpt-3.5-turbo"
+        timestamp = int(time.time())
+        headers = {
+            'authority': 'gptalk.net',
+            'accept': '*/*',
+            'accept-language': 'de-DE,de;q=0.9,en-DE;q=0.8,en;q=0.7,en-US;q=0.6,nl;q=0.5,zh-CN;q=0.4,zh-TW;q=0.3,zh;q=0.2',
+            'content-type': 'application/json',
+            'origin': 'https://gptalk.net',
+            'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
+            'sec-ch-ua-mobile': '?0',
+            'sec-ch-ua-platform': '"Linux"',
+            'sec-fetch-dest': 'empty',
+            'sec-fetch-mode': 'cors',
+            'sec-fetch-site': 'same-origin',
+            'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36',
+            'x-auth-appid': '2229',
+            'x-auth-openid': '',
+            'x-auth-platform': '',
+            'x-auth-timestamp': f"{timestamp}",
+        }
+        async with ClientSession(headers=headers) as session:
+            if not cls._auth or cls._auth["expires_at"] < timestamp:
+                data = {
+                    "fingerprint": secrets.token_hex(16).zfill(32),
+                    "platform": "fingerprint"
+                }
+                async with session.post(cls.url + "/api/chatgpt/user/login", json=data, proxy=proxy) as response:
+                    response.raise_for_status()
+                    cls._auth = (await response.json())["data"]
+            data = {
+                "content": format_prompt(messages),
+                "accept": "stream",
+                "from": 1,
+                "model": model,
+                "is_mobile": 0,
+                "user_agent": headers["user-agent"],
+                "is_open_ctx": 0,
+                "prompt": "",
+                "roid": 111,
+                "temperature": 0,
+                "ctx_msg_count": 3,
+                "created_at": timestamp
+            }
+            headers = {
+                'authorization': f'Bearer {cls._auth["token"]}',
+            }
+            async with session.post(cls.url + "/api/chatgpt/chatapi/text", json=data, headers=headers, proxy=proxy) as response:
+                response.raise_for_status()
+                token = (await response.json())["data"]["token"]
+            last_message = ""
+            async with session.get(cls.url + "/api/chatgpt/chatapi/stream", params={"token": token}, proxy=proxy) as response:
+                response.raise_for_status()
+                async for line in response.content:
+                    if line.startswith(b"data: "):
+                        if line.startswith(b"data: [DONE]"):
+                            break
+                        message = json.loads(line[6:-1])["content"]
+                        yield message[len(last_message):]
+                        last_message = message

g4f/Provider/GptForLove.py

@@ -0,0 +1,83 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+import execjs, os, json
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt
+
+class GptForLove(AsyncGeneratorProvider):
+    url = "https://ai18.gptforlove.com"
+    supports_gpt_35_turbo = True
+    working = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        if not model:
+            model = "gpt-3.5-turbo"
+        headers = {
+            "authority": "api.gptplus.one",
+            "accept": "application/json, text/plain, */*",
+            "accept-language": "de-DE,de;q=0.9,en-DE;q=0.8,en;q=0.7,en-US;q=0.6,nl;q=0.5,zh-CN;q=0.4,zh-TW;q=0.3,zh;q=0.2",
+            "content-type": "application/json",
+            "origin": cls.url,
+            "referer": f"{cls.url}/",
+            "sec-ch-ua": "\"Google Chrome\";v=\"117\", \"Not;A=Brand\";v=\"8\", \"Chromium\";v=\"117\"",
+            "sec-ch-ua-mobile": "?0",
+            "sec-ch-ua-platform": "Linux",
+            "sec-fetch-dest": "empty",
+            "sec-fetch-mode": "cors",
+            "sec-fetch-site": "cross-site",
+            "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36"
+        }
+        async with ClientSession(headers=headers) as session:
+            prompt = format_prompt(messages)
+            data = {
+                "prompt": prompt,
+                "options": {},
+                "systemMessage": "You are ChatGPT, the version is GPT3.5, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
+                "temperature": 0.8,
+                "top_p": 1,
+                "secret": get_secret(),
+                **kwargs
+            }
+            async with session.post("https://api.gptplus.one/chat-process", json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for line in response.content:
+                    try:
+                        line = json.loads(line)
+                    except:
+                        raise RuntimeError(f"Broken line: {line}")
+                    if "detail" in line:
+                        content = line["detail"]["choices"][0]["delta"].get("content")
+                        if content:
+                            yield content
+                    elif "10分钟内提问超过了5次" in line:
+                        raise RuntimeError("Rate limit reached")
+                    else:
+                        raise RuntimeError(f"Response: {line}")
+
+
+def get_secret() -> str:
+    dir = os.path.dirname(__file__)
+    dir += '/npm/node_modules/crypto-js'
+    source = """
+CryptoJS = require('{dir}/crypto-js')
+var k = '14487141bvirvvG'
+    , e = Math.floor(new Date().getTime() / 1e3);
+var t = CryptoJS.enc.Utf8.parse(e)
+    , o = CryptoJS.AES.encrypt(t, k, {
+    mode: CryptoJS.mode.ECB,
+    padding: CryptoJS.pad.Pkcs7
+});
+return o.toString()
+"""
+    source = source.replace('{dir}', dir)
+    return execjs.compile(source).call('')

g4f/Provider/GptGo.py

@@ -0,0 +1,81 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+import json
+
+from ..typing       import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, format_prompt
+
+
+class GptGo(AsyncGeneratorProvider):
+    url                   = "https://gptgo.ai"
+    supports_gpt_35_turbo = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "User-Agent"         : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
+            "Accept"             : "*/*",
+            "Accept-language"    : "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
+            "Origin"             : cls.url,
+            "Referer"            : cls.url + "/",
+            "Sec-Fetch-Dest"     : "empty",
+            "Sec-Fetch-Mode"     : "cors",
+            "Sec-Fetch-Site"     : "same-origin",
+        }
+        async with ClientSession(
+            headers=headers
+        ) as session:
+            async with session.get(
+                "https://gptgo.ai/action_get_token.php",
+                params={
+                    "q": format_prompt(messages),
+                    "hlgpt": "default",
+                    "hl": "en"
+                },
+                proxy=proxy
+            ) as response:
+                response.raise_for_status()
+                token = (await response.json(content_type=None))["token"]
+
+            async with session.get(
+                "https://gptgo.ai/action_ai_gpt.php",
+                params={
+                    "token": token,
+                },
+                proxy=proxy
+            ) as response:
+                response.raise_for_status()
+                start = "data: "
+                async for line in response.content:
+                    line = line.decode()
+                    if line.startswith("data: "):
+                        if line.startswith("data: [DONE]"):
+                            break
+                        line = json.loads(line[len(start):-1])
+                        if line["choices"][0]["finish_reason"] == "stop":
+                            break
+                        content = line["choices"][0]["delta"].get("content")
+                        if content:
+                            yield content
+
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("proxy", "str"),
+            ("temperature", "float"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"