Spaces:
Sleeping
Sleeping
# -*- coding:utf-8 -*- | |
import gradio as gr | |
from pathlib import Path | |
# ChatGPT 设置 | |
initial_prompt = "You are a helpful assistant." | |
API_HOST = "api.openai.com" | |
COMPLETION_URL = "https://api.openai.com/v1/chat/completions" | |
BALANCE_API_URL="https://api.openai.com/dashboard/billing/credit_grants" | |
USAGE_API_URL="https://api.openai.com/dashboard/billing/usage" | |
HISTORY_DIR = Path("history") | |
TEMPLATES_DIR = "templates" | |
# 错误信息 | |
standard_error_msg = "☹️发生了错误:" # 错误信息的标准前缀 | |
error_retrieve_prompt = "请检查网络连接,或者API-Key是否有效。" # 获取对话时发生错误 | |
connection_timeout_prompt = "连接超时,无法获取对话。" # 连接超时 | |
read_timeout_prompt = "读取超时,无法获取对话。" # 读取超时 | |
proxy_error_prompt = "代理错误,无法获取对话。" # 代理错误 | |
ssl_error_prompt = "SSL错误,无法获取对话。" # SSL 错误 | |
no_apikey_msg = "API key长度不是51位,请检查是否输入正确。" # API key 长度不足 51 位 | |
no_input_msg = "请输入对话内容。" # 未输入对话内容 | |
timeout_streaming = 30 # 流式对话时的超时时间 | |
timeout_all = 200 # 非流式对话时的超时时间 | |
enable_streaming_option = True # 是否启用选择选择是否实时显示回答的勾选框 | |
HIDE_MY_KEY = False # 如果你想在UI中隐藏你的 API 密钥,将此值设置为 True | |
CONCURRENT_COUNT = 100 # 允许同时使用的用户数量 | |
SIM_K = 5 | |
INDEX_QUERY_TEMPRATURE = 1.0 | |
title = """<h1 align="left" style="min-width:200px; margin-top:6px; white-space: nowrap;">川虎ChatGPT 🚀</h1>""" | |
description = """\ | |
<div align="center" style="margin:16px 0"> | |
由Bilibili [土川虎虎虎](https://space.bilibili.com/29125536) 和 [明昭MZhao](https://space.bilibili.com/24807452)开发 | |
访问川虎ChatGPT的 [GitHub项目](https://github.com/GaiZhenbiao/ChuanhuChatGPT) 下载最新版脚本 | |
此App使用 `gpt-3.5-turbo` 大语言模型 | |
</div> | |
""" | |
footer = """\ | |
<div class="versions">{versions}</div> | |
""" | |
summarize_prompt = "你是谁?我们刚才聊了什么?" # 总结对话时的 prompt | |
MODELS = [ | |
"gpt-3.5-turbo", | |
"gpt-3.5-turbo-0301", | |
"gpt-4", | |
"gpt-4-0314", | |
"gpt-4-32k", | |
"gpt-4-32k-0314", | |
] # 可选的模型 | |
MODEL_SOFT_TOKEN_LIMIT = { | |
"gpt-3.5-turbo": { | |
"streaming": 3500, | |
"all": 3500 | |
}, | |
"gpt-3.5-turbo-0301": { | |
"streaming": 3500, | |
"all": 3500 | |
}, | |
"gpt-4": { | |
"streaming": 7500, | |
"all": 7500 | |
}, | |
"gpt-4-0314": { | |
"streaming": 7500, | |
"all": 7500 | |
}, | |
"gpt-4-32k": { | |
"streaming": 31000, | |
"all": 31000 | |
}, | |
"gpt-4-32k-0314": { | |
"streaming": 31000, | |
"all": 31000 | |
} | |
} | |
REPLY_LANGUAGES = [ | |
"简体中文", | |
"繁體中文", | |
"English", | |
"日本語", | |
"Español", | |
"Français", | |
"Deutsch", | |
"跟随问题语言(不稳定)" | |
] | |
WEBSEARCH_PTOMPT_TEMPLATE = """\ | |
Web search results: | |
{web_results} | |
Current date: {current_date} | |
Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject. | |
Query: {query} | |
Reply in {reply_language} | |
""" | |
PROMPT_TEMPLATE = """\ | |
Context information is below. | |
--------------------- | |
{context_str} | |
--------------------- | |
Current date: {current_date}. | |
Using the provided context information, write a comprehensive reply to the given query. | |
Make sure to cite results using [number] notation after the reference. | |
If the provided context information refer to multiple subjects with the same name, write separate answers for each subject. | |
Use prior knowledge only if the given context didn't provide enough information. | |
Answer the question: {query_str} | |
Reply in {reply_language} | |
""" | |
REFINE_TEMPLATE = """\ | |
The original question is as follows: {query_str} | |
We have provided an existing answer: {existing_answer} | |
We have the opportunity to refine the existing answer | |
(only if needed) with some more context below. | |
------------ | |
{context_msg} | |
------------ | |
Given the new context, refine the original answer to better | |
Reply in {reply_language} | |
If the context isn't useful, return the original answer. | |
""" | |
ALREADY_CONVERTED_MARK = "<!-- ALREADY CONVERTED BY PARSER. -->" | |
small_and_beautiful_theme = gr.themes.Soft( | |
primary_hue=gr.themes.Color( | |
c50="#02C160", | |
c100="rgba(2, 193, 96, 0.2)", | |
c200="#02C160", | |
c300="rgba(2, 193, 96, 0.32)", | |
c400="rgba(2, 193, 96, 0.32)", | |
c500="rgba(2, 193, 96, 1.0)", | |
c600="rgba(2, 193, 96, 1.0)", | |
c700="rgba(2, 193, 96, 0.32)", | |
c800="rgba(2, 193, 96, 0.32)", | |
c900="#02C160", | |
c950="#02C160", | |
), | |
secondary_hue=gr.themes.Color( | |
c50="#576b95", | |
c100="#576b95", | |
c200="#576b95", | |
c300="#576b95", | |
c400="#576b95", | |
c500="#576b95", | |
c600="#576b95", | |
c700="#576b95", | |
c800="#576b95", | |
c900="#576b95", | |
c950="#576b95", | |
), | |
neutral_hue=gr.themes.Color( | |
name="gray", | |
c50="#f9fafb", | |
c100="#f3f4f6", | |
c200="#e5e7eb", | |
c300="#d1d5db", | |
c400="#B2B2B2", | |
c500="#808080", | |
c600="#636363", | |
c700="#515151", | |
c800="#393939", | |
c900="#272727", | |
c950="#171717", | |
), | |
radius_size=gr.themes.sizes.radius_sm, | |
).set( | |
button_primary_background_fill="#06AE56", | |
button_primary_background_fill_dark="#06AE56", | |
button_primary_background_fill_hover="#07C863", | |
button_primary_border_color="#06AE56", | |
button_primary_border_color_dark="#06AE56", | |
button_primary_text_color="#FFFFFF", | |
button_primary_text_color_dark="#FFFFFF", | |
button_secondary_background_fill="#F2F2F2", | |
button_secondary_background_fill_dark="#2B2B2B", | |
button_secondary_text_color="#393939", | |
button_secondary_text_color_dark="#FFFFFF", | |
# background_fill_primary="#F7F7F7", | |
# background_fill_primary_dark="#1F1F1F", | |
block_title_text_color="*primary_500", | |
block_title_background_fill="*primary_100", | |
input_background_fill="#F6F6F6", | |
) | |