Upload 201 files

g4f/.v1/requirements.txt

@@ -5,11 +5,13 @@ pypasser
 names
 colorama
 curl_cffi
+aiohttp
+flask
+flask_cors
 streamlit
 selenium
 fake-useragent
 twocaptcha
-https://github.com/AI-Yash/st-chat/archive/refs/pull/24/head.zip
 pydantic
 pymailtm
 Levenshtein
@@ -18,4 +20,6 @@ mailgw_temporary_email
 pycryptodome
 random-password-generator
 numpy>=1.22.2 # not directly required, pinned by Snyk to avoid a vulnerability
-tornado>=6.3.2 # not directly required, pinned by Snyk to avoid a vulnerability
+tornado>=6.3.2 # not directly required, pinned by Snyk to avoid a vulnerability
+PyExecJS
+browser_cookie3

g4f/Provider/Provider.py

@@ -5,6 +5,7 @@ url = None
 model = None
 supports_stream = False
 needs_auth = False
+working = False
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
     return

g4f/Provider/Providers/AItianhu.py

@@ -0,0 +1,38 @@
+import os, requests
+from ...typing import sha256, Dict, get_type_hints
+import json
+
+url = "https://www.aitianhu.com/api/chat-process"
+model = ['gpt-3.5-turbo']
+supports_stream = False
+needs_auth = False
+working = True
+
+
+def _create_completion(model: str, messages: list, stream: bool, **kwargs):
+    base = ''
+    for message in messages:
+        base += '%s: %s\n' % (message['role'], message['content'])
+    base += 'assistant:'
+
+    headers = {
+        "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"
+    }
+    data = {
+        "prompt": base,
+        "options": {},
+        "systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
+        "temperature": kwargs.get("temperature", 0.8),
+        "top_p": kwargs.get("top_p", 1)
+    }
+    response = requests.post(url, headers=headers, json=data)
+    if response.status_code == 200:
+        lines = response.text.strip().split('\n')
+        res = json.loads(lines[-1])
+        yield res['text']
+    else:
+        print(f"Error Occurred::{response.status_code}")
+        return None
+
+params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
+    '(%s)' % ', '.join([f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

g4f/Provider/Providers/Acytoo.py

@@ -0,0 +1,42 @@
+import os, requests
+from ...typing import sha256, Dict, get_type_hints
+import json
+
+url = "https://chat.acytoo.com/api/completions"
+model = ['gpt-3.5-turbo']
+supports_stream = False
+needs_auth = False
+working = False
+
+def _create_completion(model: str, messages: list, stream: bool, **kwargs):
+    base = ''
+    for message in messages:
+        base += '%s: %s\n' % (message['role'], message['content'])
+    base += 'assistant:'
+
+    headers = {
+        "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"
+    }
+    data = {
+        "key": "",
+        "model": "gpt-3.5-turbo",
+        "messages": [
+            {
+                "role": "user",
+                "content": base,
+                "createdAt": 1688518523500
+            }
+        ],
+        "temperature": 1,
+        "password": ""
+    }
+
+    response = requests.post(url, headers=headers, data=json.dumps(data))
+    if response.status_code == 200:
+        yield response.text
+    else:
+        print(f"Error Occurred::{response.status_code}")
+        return None
+
+params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
+    '(%s)' % ', '.join([f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

g4f/Provider/Providers/AiService.py

@@ -0,0 +1,41 @@
+import os,sys
+import requests
+from ...typing import get_type_hints
+
+url = "https://aiservice.vercel.app/api/chat/answer"
+model = ['gpt-3.5-turbo']
+supports_stream = False
+needs_auth = False
+working = True
+
+
+def _create_completion(model: str, messages: list, stream: bool, **kwargs):
+    base = ''
+    for message in messages:
+        base += '%s: %s\n' % (message['role'], message['content'])
+    base += 'assistant:'
+
+    headers = {
+        "accept": "*/*",
+        "content-type": "text/plain;charset=UTF-8",
+        "sec-fetch-dest": "empty",
+        "sec-fetch-mode": "cors",
+        "sec-fetch-site": "same-origin",
+        "Referer": "https://aiservice.vercel.app/chat",
+    }
+    data = {
+        "input": base
+    }
+    response = requests.post(url, headers=headers, json=data)
+    if response.status_code == 200:
+        _json = response.json()
+        yield _json['data']
+    else:
+        print(f"Error Occurred::{response.status_code}")
+        return None
+    
+
+
+params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
+    '(%s)' % ', '.join(
+        [f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

g4f/Provider/Providers/Aichat.py

@@ -5,6 +5,7 @@ url = 'https://chat-gpt.org/chat'
 model = ['gpt-3.5-turbo']
 supports_stream = False
 needs_auth = False
+working =  True
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
     base = ''

g4f/Provider/Providers/Ails.py

@@ -13,6 +13,8 @@ url: str = 'https://ai.ls'
 model: str = 'gpt-3.5-turbo'
 supports_stream = True
 needs_auth = False
+working =  True
+
 
 class Utils:
     def hash(json_data: Dict[str, str]) -> sha256:
@@ -45,7 +47,7 @@ def _create_completion(model: str, messages: list, temperature: float = 0.6, str
         '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': '0.1.217',
+        'client-v': '0.1.249',
         'content-type': 'application/json',
         'origin': 'https://ai.ls',
         'referer': 'https://ai.ls/',
@@ -73,7 +75,7 @@ def _create_completion(model: str, messages: list, temperature: float = 0.6, str
 
     json_data = json.dumps(separators=(',', ':'), obj={
         'model': 'gpt-3.5-turbo',
-        'temperature': 0.6,
+        'temperature': temperature,
         'stream': True,
          'messages': messages} | sig)
 

g4f/Provider/Providers/Bard.py

@@ -5,6 +5,8 @@ url = 'https://bard.google.com'
 model = ['Palm2']
 supports_stream = False
 needs_auth = True
+working = True
+
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
     psid = {cookie.name: cookie.value for cookie in browser_cookie3.chrome(

g4f/Provider/Providers/Bing.py

@@ -16,6 +16,7 @@ url = 'https://bing.com/chat'
 model = ['gpt-4']
 supports_stream = True
 needs_auth = False
+working = True
 
 ssl_context = ssl.create_default_context()
 ssl_context.load_verify_locations(certifi.where())

g4f/Provider/Providers/BingHuan.py

@@ -0,0 +1,28 @@
+import os,sys
+import json
+import subprocess
+from ...typing import sha256, Dict, get_type_hints
+
+url = 'https://b.ai-huan.xyz'
+model = ['gpt-3.5-turbo', 'gpt-4']
+supports_stream = True
+needs_auth = False
+working = False
+
+
+def _create_completion(model: str, messages: list, stream: bool, **kwargs):
+    path = os.path.dirname(os.path.realpath(__file__))
+    config = json.dumps({
+        'messages': messages,
+        'model': model}, separators=(',', ':'))
+    cmd = ['python', f'{path}/helpers/binghuan.py', config]
+
+    p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
+    
+    for line in iter(p.stdout.readline, b''):
+        yield line.decode('cp1252')
+
+
+params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
+    '(%s)' % ', '.join(
+        [f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

g4f/Provider/Providers/ChatgptAi.py

@@ -6,6 +6,8 @@ url = 'https://chatgpt.ai/gpt-4/'
 model = ['gpt-4']
 supports_stream = False
 needs_auth = False
+working = True
+
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
     chat = ''
@@ -13,8 +15,7 @@ def _create_completion(model: str, messages: list, stream: bool, **kwargs):
         chat += '%s: %s\n' % (message['role'], message['content'])
     chat += 'assistant: '
 
-    response = requests.get('https://chatgpt.ai/gpt-4/')
-
+    response = requests.get('https://chatgpt.ai/')
     nonce, post_id, _, bot_id = re.findall(r'data-nonce="(.*)"\n     data-post-id="(.*)"\n     data-url="(.*)"\n     data-bot-id="(.*)"\n     data-width', response.text)[0]
 
     headers = {

g4f/Provider/Providers/ChatgptLogin.py

@@ -8,7 +8,7 @@ url = 'https://chatgptlogin.ac'
 model = ['gpt-3.5-turbo']
 supports_stream = False
 needs_auth = False
-
+working = False
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
     def get_nonce():
@@ -75,7 +75,7 @@ def _create_completion(model: str, messages: list, stream: bool, **kwargs):
         'userName': '<div class="mwai-name-text">User:</div>',
         'aiName': '<div class="mwai-name-text">AI:</div>',
         'model': 'gpt-3.5-turbo',
-        'temperature': 0.8,
+        'temperature': kwargs.get('temperature', 0.8),
         'maxTokens': 1024,
         'maxResults': 1,
         'apiKey': '',

g4f/Provider/Providers/DeepAi.py

@@ -10,6 +10,8 @@ url = 'https://deepai.org'
 model = ['gpt-3.5-turbo']
 supports_stream = True
 needs_auth = False
+working = True
+
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
     def md5(text: str) -> str:

g4f/Provider/Providers/DfeHub.py

@@ -0,0 +1,56 @@
+import os, requests
+from ...typing import sha256, Dict, get_type_hints
+import json
+import re
+import time
+
+url = "https://chat.dfehub.com/api/chat"
+model = ['gpt-3.5-turbo']
+supports_stream = True
+needs_auth = False
+working = True
+
+
+def _create_completion(model: str, messages: list, stream: bool, **kwargs):
+    headers = {
+        'authority': 'chat.dfehub.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',
+        'content-type': 'application/json',
+        'origin': 'https://chat.dfehub.com',
+        'referer': 'https://chat.dfehub.com/',
+        'sec-ch-ua': '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
+        '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/114.0.0.0 Safari/537.36',
+        'x-requested-with': 'XMLHttpRequest',
+    }
+
+    json_data = {
+        'messages': messages,
+        'model': 'gpt-3.5-turbo',
+        'temperature': kwargs.get('temperature', 0.5),
+        'presence_penalty': kwargs.get('presence_penalty', 0),
+        'frequency_penalty': kwargs.get('frequency_penalty', 0),
+        'top_p': kwargs.get('top_p', 1),
+        "stream": True,
+    }
+    response = requests.post('https://chat.dfehub.com/api/openai/v1/chat/completions',
+        headers=headers, json=json_data)
+    
+    for chunk in response.iter_lines():
+        if b'detail' in chunk:
+            delay = re.findall(r"\d+\.\d+", chunk.decode())
+            delay = float(delay[-1])
+            print(f"Provider.DfeHub::Rate Limit Reached::Waiting {delay} seconds")
+            time.sleep(delay)
+            yield from _create_completion(model, messages, stream, **kwargs)
+        if b'content' in chunk:
+            data = json.loads(chunk.decode().split('data: ')[1])
+            yield (data['choices'][0]['delta']['content'])
+
+params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
+    '(%s)' % ', '.join([f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

g4f/Provider/Providers/EasyChat.py

@@ -0,0 +1,52 @@
+import os, requests
+from ...typing import sha256, Dict, get_type_hints
+import json
+
+url = "https://free.easychat.work"
+model = ['gpt-3.5-turbo']
+supports_stream = True
+needs_auth = False
+working = True
+
+
+def _create_completion(model: str, messages: list, stream: bool, **kwargs):
+    headers = {
+        'authority': 'free.easychat.work',
+        'accept': 'text/event-stream',
+        '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',
+        'content-type': 'application/json',
+        'endpoint': '',
+        'origin': 'https://free.easychat.work',
+        'plugins': '0',
+        'referer': 'https://free.easychat.work/',
+        'sec-ch-ua': '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
+        '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/114.0.0.0 Safari/537.36',
+        'usesearch': 'false',
+        'x-requested-with': 'XMLHttpRequest',
+    }
+
+    json_data = {
+        'messages': messages,
+        'stream': True,
+        'model': model,
+        'temperature': kwargs.get('temperature', 0.5),
+        'presence_penalty': kwargs.get('presence_penalty', 0),
+        'frequency_penalty': kwargs.get('frequency_penalty', 0),
+        'top_p': kwargs.get('top_p', 1),
+    }
+
+    response = requests.post('https://free.easychat.work/api/openai/v1/chat/completions',
+        headers=headers, json=json_data)
+    
+    for chunk in response.iter_lines():
+        if b'content' in chunk:
+            data = json.loads(chunk.decode().split('data: ')[1])
+            yield (data['choices'][0]['delta']['content'])
+
+params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
+    '(%s)' % ', '.join([f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

g4f/Provider/Providers/Forefront.py

@@ -7,6 +7,8 @@ url = 'https://forefront.com'
 model = ['gpt-3.5-turbo']
 supports_stream = True
 needs_auth = False
+working = False
+
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
     json_data = {

g4f/Provider/Providers/GetGpt.py

@@ -9,6 +9,8 @@ url = 'https://chat.getgpt.world/'
 model = ['gpt-3.5-turbo']
 supports_stream = True
 needs_auth = False
+working = True
+
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
     def encrypt(e):

g4f/Provider/Providers/H2o.py

@@ -10,6 +10,7 @@ url = 'https://gpt-gm.h2o.ai'
 model = ['falcon-40b', 'falcon-7b', 'llama-13b']
 supports_stream = True
 needs_auth = False
+working = True
 
 models = {
     'falcon-7b': 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3',
@@ -18,89 +19,76 @@ models = {
 }
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    conversation = 'instruction: this is a conversation beween, a user and an AI assistant, respond to the latest message, referring to the conversation if needed\n'
+    
+    conversation = ''
     for message in messages:
         conversation += '%s: %s\n' % (message['role'], message['content'])
-    conversation += 'assistant:'
     
-    client = Session()
-    client.headers = {
-        'authority': 'gpt-gm.h2o.ai',
-        'origin': 'https://gpt-gm.h2o.ai',
-        'referer': 'https://gpt-gm.h2o.ai/',
-        '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': 'document',
-        'sec-fetch-mode': 'navigate',
-        'sec-fetch-site': 'same-origin',
-        '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/114.0.0.0 Safari/537.36',
-    }
-
-    client.get('https://gpt-gm.h2o.ai/')
-    response = client.post('https://gpt-gm.h2o.ai/settings', data={
-        'ethicsModalAccepted': 'true',
-        'shareConversationsWithModelAuthors': 'true',
-        'ethicsModalAcceptedAt': '',
-        'activeModel': 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1',
-        'searchEnabled': 'true',
-    })
+    conversation += 'assistant: '
+    session = requests.Session()
 
+    response = session.get("https://gpt-gm.h2o.ai/")
     headers = {
-        'authority': 'gpt-gm.h2o.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',
-        'origin': 'https://gpt-gm.h2o.ai',
-        'referer': 'https://gpt-gm.h2o.ai/',
-        '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',
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0",
+        "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
+        "Accept-Language": "ru-RU,ru;q=0.8,en-US;q=0.5,en;q=0.3",
+        "Content-Type": "application/x-www-form-urlencoded",
+        "Upgrade-Insecure-Requests": "1",
+        "Sec-Fetch-Dest": "document",
+        "Sec-Fetch-Mode": "navigate",
+        "Sec-Fetch-Site": "same-origin",
+        "Sec-Fetch-User": "?1",
+        "Referer": "https://gpt-gm.h2o.ai/r/jGfKSwU"
     }
-
-    json_data = {
-        'model': models[model]
+    data = {
+        "ethicsModalAccepted": "true",
+        "shareConversationsWithModelAuthors": "true",
+        "ethicsModalAcceptedAt": "",
+        "activeModel": "h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1",
+        "searchEnabled": "true"
     }
+    response = session.post("https://gpt-gm.h2o.ai/settings", headers=headers, data=data)
 
-    response = client.post('https://gpt-gm.h2o.ai/conversation',
-                            headers=headers, json=json_data)
-    conversationId = response.json()['conversationId']
-
-
-    completion = client.post(f'https://gpt-gm.h2o.ai/conversation/{conversationId}', stream=True, json = {
-        'inputs': conversation,
-        'parameters': {
-            'temperature': kwargs.get('temperature', 0.4),
-            'truncate': kwargs.get('truncate', 2048),
-            'max_new_tokens': kwargs.get('max_new_tokens', 1024),
-            'do_sample': kwargs.get('do_sample', True),
-            'repetition_penalty': kwargs.get('repetition_penalty', 1.2),
-            'return_full_text': kwargs.get('return_full_text', False)
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0",
+        "Accept": "*/*",
+        "Accept-Language": "ru-RU,ru;q=0.8,en-US;q=0.5,en;q=0.3",
+        "Content-Type": "application/json",
+        "Sec-Fetch-Dest": "empty",
+        "Sec-Fetch-Mode": "cors",
+        "Sec-Fetch-Site": "same-origin",
+        "Referer": "https://gpt-gm.h2o.ai/"
+    }
+    data = {
+        "model": models[model]
+    }
+    
+    conversation_id = session.post("https://gpt-gm.h2o.ai/conversation", headers=headers, json=data)
+    data = {
+        "inputs": conversation,
+        "parameters": {
+            "temperature": kwargs.get('temperature', 0.4),
+            "truncate": kwargs.get('truncate', 2048),
+            "max_new_tokens": kwargs.get('max_new_tokens', 1024),
+            "do_sample": kwargs.get('do_sample', True),
+            "repetition_penalty": kwargs.get('repetition_penalty', 1.2),
+            "return_full_text": kwargs.get('return_full_text', False)
         },
-        'stream': True,
-        'options': {
-            'id': kwargs.get('id', str(uuid4())),
-            'response_id': kwargs.get('response_id', str(uuid4())),
-            'is_retry': False,
-            'use_cache': False,
-            'web_search_id': ''
+        "stream": True,
+        "options": {
+            "id": kwargs.get('id', str(uuid4())),
+            "response_id": kwargs.get('response_id', str(uuid4())),
+            "is_retry": False,
+            "use_cache": False,
+            "web_search_id": ""
         }
-    })
+    }
+    
+    response = session.post(f"https://gpt-gm.h2o.ai/conversation/{conversation_id.json()['conversationId']}", headers=headers, json=data)
+    generated_text = response.text.replace("\n", "").split("data:")
+    generated_text = json.loads(generated_text[-1])
+    
+    return generated_text["generated_text"]
 
-    for line in completion.iter_lines():
-        if b'data' in line:
-            line = loads(line.decode('utf-8').replace('data:', ''))
-            token = line['token']['text']
-            
-            if token == '<|endoftext|>':
-                break
-            else:
-                yield (token)
-            
 params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
     '(%s)' % ', '.join([f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

g4f/Provider/Providers/Liaobots.py

@@ -5,6 +5,7 @@ url = 'https://liaobots.com'
 model = ['gpt-3.5-turbo', 'gpt-4']
 supports_stream = True
 needs_auth = True
+working = False
 
 models = {
     'gpt-4': {

g4f/Provider/Providers/Lockchat.py

@@ -2,15 +2,16 @@ import requests
 import os
 import json
 from ...typing import sha256, Dict, get_type_hints
-url = 'http://super.lockchat.app'
+url = 'http://supertest.lockchat.app'
 model = ['gpt-4', 'gpt-3.5-turbo']
 supports_stream = True
 needs_auth = False
+working = False
 
 def _create_completion(model: str, messages: list, stream: bool, temperature: float = 0.7, **kwargs):
 
     payload = {
-        "temperature": 0.7,
+        "temperature": temperature,
         "messages": messages,
         "model": model,
         "stream": True,
@@ -18,7 +19,7 @@ def _create_completion(model: str, messages: list, stream: bool, temperature: fl
     headers = {
         "user-agent": "ChatX/39 CFNetwork/1408.0.4 Darwin/22.5.0",
     }
-    response = requests.post("http://super.lockchat.app/v1/chat/completions?auth=FnMNPlwZEnGFqvEc9470Vw==", 
+    response = requests.post("http://supertest.lockchat.app/v1/chat/completions", 
                             json=payload, headers=headers, stream=True)
     for token in response.iter_lines():
         if b'The model: `gpt-4` does not exist' in token:

g4f/Provider/Providers/Theb.py

@@ -9,6 +9,7 @@ url = 'https://theb.ai'
 model = ['gpt-3.5-turbo']
 supports_stream = True
 needs_auth = False
+working = False
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
 
@@ -20,7 +21,7 @@ def _create_completion(model: str, messages: list, stream: bool, **kwargs):
     cmd = ['python3', f'{path}/helpers/theb.py', config]
 
     p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
+    
     for line in iter(p.stdout.readline, b''):
         yield line.decode('utf-8')
         

g4f/Provider/Providers/Vercel.py

@@ -11,6 +11,7 @@ from ...typing import sha256, Dict, get_type_hints
 url = 'https://play.vercel.ai'
 supports_stream = True
 needs_auth = False
+working = False
 
 models = {
     'claude-instant-v1': 'anthropic:claude-instant-v1',
@@ -41,122 +42,19 @@ vercel_models = {'anthropic:claude-instant-v1': {'id': 'anthropic:claude-instant
     'id': 'huggingface:bigcode/santacoder', 'provider': 'huggingface', 'providerHumanName': 'HuggingFace', 'makerHumanName': 'BigCode', 'instructions': 'The model was trained on GitHub code. As such it is not an instruction model and commands like "Write a function that computes the square root." do not work well. You should phrase commands like they occur in source code such as comments (e.g. # the following function computes the sqrt) or write a function signature and docstring and let the model complete the function body.', 'parameters': {'temperature': {'value': 0.5, 'range': [0.1, 1]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 0.95, 'range': [0.01, 0.99]}, 'topK': {'value': 4, 'range': [1, 500]}, 'repetitionPenalty': {'value': 1.03, 'range': [0.1, 2]}}, 'name': 'santacoder'}, 'cohere:command-medium-nightly': {'id': 'cohere:command-medium-nightly', 'provider': 'cohere', 'providerHumanName': 'Cohere', 'makerHumanName': 'Cohere', 'name': 'command-medium-nightly', 'parameters': {'temperature': {'value': 0.9, 'range': [0, 2]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0, 1]}, 'topK': {'value': 0, 'range': [0, 500]}, 'presencePenalty': {'value': 0, 'range': [0, 1]}, 'frequencyPenalty': {'value': 0, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}}, 'cohere:command-xlarge-nightly': {'id': 'cohere:command-xlarge-nightly', 'provider': 'cohere', 'providerHumanName': 'Cohere', 'makerHumanName': 'Cohere', 'name': 'command-xlarge-nightly', 'parameters': {'temperature': {'value': 0.9, 'range': [0, 2]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0, 1]}, 'topK': {'value': 0, 'range': [0, 500]}, 'presencePenalty': {'value': 0, 'range': [0, 1]}, 'frequencyPenalty': {'value': 0, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}}, 'openai:gpt-4': {'id': 'openai:gpt-4', 'provider': 'openai', 'providerHumanName': 'OpenAI', 'makerHumanName': 'OpenAI', 'name': 'gpt-4', 'minBillingTier': 'pro', 'parameters': {'temperature': {'value': 0.7, 'range': [0.1, 1]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0.1, 1]}, 'presencePenalty': {'value': 0, 'range': [0, 1]}, 'frequencyPenalty': {'value': 0, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}}, 'openai:code-cushman-001': {'id': 'openai:code-cushman-001', 'provider': 'openai', 'providerHumanName': 'OpenAI', 'makerHumanName': 'OpenAI', 'parameters': {'temperature': {'value': 0.5, 'range': [0.1, 1]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0.1, 1]}, 'presencePenalty': {'value': 0, 'range': [0, 1]}, 'frequencyPenalty': {'value': 0, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}, 'name': 'code-cushman-001'}, 'openai:code-davinci-002': {'id': 'openai:code-davinci-002', 'provider': 'openai', 'providerHumanName': 'OpenAI', 'makerHumanName': 'OpenAI', 'parameters': {'temperature': {'value': 0.5, 'range': [0.1, 1]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0.1, 1]}, 'presencePenalty': {'value': 0, 'range': [0, 1]}, 'frequencyPenalty': {'value': 0, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}, 'name': 'code-davinci-002'}, 'openai:gpt-3.5-turbo': {'id': 'openai:gpt-3.5-turbo', 'provider': 'openai', 'providerHumanName': 'OpenAI', 'makerHumanName': 'OpenAI', 'parameters': {'temperature': {'value': 0.7, 'range': [0, 1]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0.1, 1]}, 'topK': {'value': 1, 'range': [1, 500]}, 'presencePenalty': {'value': 1, 'range': [0, 1]}, 'frequencyPenalty': {'value': 1, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}, 'name': 'gpt-3.5-turbo'}, 'openai:text-ada-001': {'id': 'openai:text-ada-001', 'provider': 'openai', 'providerHumanName': 'OpenAI', 'makerHumanName': 'OpenAI', 'name': 'text-ada-001', 'parameters': {'temperature': {'value': 0.5, 'range': [0.1, 1]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0.1, 1]}, 'presencePenalty': {'value': 0, 'range': [0, 1]}, 'frequencyPenalty': {'value': 0, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}}, 'openai:text-babbage-001': {'id': 'openai:text-babbage-001', 'provider': 'openai', 'providerHumanName': 'OpenAI', 'makerHumanName': 'OpenAI', 'name': 'text-babbage-001', 'parameters': {'temperature': {'value': 0.5, 'range': [0.1, 1]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0.1, 1]}, 'presencePenalty': {'value': 0, 'range': [0, 1]}, 'frequencyPenalty': {'value': 0, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}}, 'openai:text-curie-001': {'id': 'openai:text-curie-001', 'provider': 'openai', 'providerHumanName': 'OpenAI', 'makerHumanName': 'OpenAI', 'name': 'text-curie-001', 'parameters': {'temperature': {'value': 0.5, 'range': [0.1, 1]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0.1, 1]}, 'presencePenalty': {'value': 0, 'range': [0, 1]}, 'frequencyPenalty': {'value': 0, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}}, 'openai:text-davinci-002': {'id': 'openai:text-davinci-002', 'provider': 'openai', 'providerHumanName': 'OpenAI', 'makerHumanName': 'OpenAI', 'name': 'text-davinci-002', 'parameters': {'temperature': {'value': 0.5, 'range': [0.1, 1]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0.1, 1]}, 'presencePenalty': {'value': 0, 'range': [0, 1]}, 'frequencyPenalty': {'value': 0, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}}, 'openai:text-davinci-003': {'id': 'openai:text-davinci-003', 'provider': 'openai', 'providerHumanName': 'OpenAI', 'makerHumanName': 'OpenAI', 'name': 'text-davinci-003', 'parameters': {'temperature': {'value': 0.5, 'range': [0.1, 1]}, 'maximumLength': {'value': 200, 'range': [50, 1024]}, 'topP': {'value': 1, 'range': [0.1, 1]}, 'presencePenalty': {'value': 0, 'range': [0, 1]}, 'frequencyPenalty': {'value': 0, 'range': [0, 1]}, 'stopSequences': {'value': [], 'range': []}}}}
 
 
-# based on https://github.com/ading2210/vercel-llm-api // modified
-class Client:
-    def __init__(self):
-        self.session = requests.Session()
-        self.headers = {
-            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110 Safari/537.36',
-            'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8',
-            'Accept-Encoding': 'gzip, deflate, br',
-            'Accept-Language': 'en-US,en;q=0.5',
-            'Te': 'trailers',
-            'Upgrade-Insecure-Requests': '1'
-        }
-        self.session.headers.update(self.headers)
-
-    def get_token(self):
-            b64 = self.session.get('https://sdk.vercel.ai/openai.jpeg').text
-            data = json.loads(base64.b64decode(b64))
-
-            code = 'const globalThis = {data: `sentinel`}; function token() {return (%s)(%s)}' % (
-                data['c'], data['a'])
-
-            token_string = json.dumps(separators=(',', ':'),
-                                    obj={'r': execjs.compile(code).call('token'), 't': data['t']})
-
-            return base64.b64encode(token_string.encode()).decode()
-
-    def get_default_params(self, model_id):
-        return {key: param['value'] for key, param in vercel_models[model_id]['parameters'].items()}
-
-    def generate(self, model_id: str, prompt: str, params: dict = {}):
-        if not ':' in model_id:
-            model_id = models[model_id]
-
-        defaults = self.get_default_params(model_id)
-
-        payload = defaults | params | {
-            'prompt': prompt,
-            'model': model_id,
-        }
-
-        headers = self.headers | {
-            'Accept-Encoding': 'gzip, deflate, br',
-            'Custom-Encoding': self.get_token(),
-            'Host': 'sdk.vercel.ai',
-            'Origin': 'https://sdk.vercel.ai',
-            'Referrer': 'https://sdk.vercel.ai',
-            'Sec-Fetch-Dest': 'empty',
-            'Sec-Fetch-Mode': 'cors',
-            'Sec-Fetch-Site': 'same-origin',
-        }
-
-        chunks_queue = queue.Queue()
-        error = None
-        response = None
-
-        def callback(data):
-            chunks_queue.put(data.decode())
-
-        def request_thread():
-            nonlocal response, error
-            for _ in range(3):
-                try:
-                    response = self.session.post('https://sdk.vercel.ai/api/generate',
-                                                 json=payload, headers=headers, content_callback=callback)
-                    response.raise_for_status()
-
-                except Exception as e:
-                    if _ == 2:
-                        error = e
-
-                    else:
-                        continue
-
-        thread = threading.Thread(target=request_thread, daemon=True)
-        thread.start()
-
-        text = ''
-        index = 0
-        while True:
-            try:
-                chunk = chunks_queue.get(block=True, timeout=0.1)
-
-            except queue.Empty:
-                if error:
-                    raise error
-
-                elif response:
-                    break
-
-                else:
-                    continue
-
-            text += chunk
-            lines = text.split('\n')
-
-            if len(lines) - 1 > index:
-                new = lines[index:-1]
-                for word in new:
-                    yield json.loads(word)
-                index = len(lines) - 1
-
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    yield 'Vercel is currently not working.'
     return
+    # conversation = 'This is a conversation between a human and a language model, respond to the last message accordingly, referring to the past history of messages if needed.\n'
     
-    conversation = 'This is a conversation between a human and a language model, respond to the last message accordingly, referring to the past history of messages if needed.\n'
-    
-    for message in messages:
-        conversation += '%s: %s\n' % (message['role'], message['content'])
+    # for message in messages:
+    #     conversation += '%s: %s\n' % (message['role'], message['content'])
     
-    conversation += 'assistant: '
+    # conversation += 'assistant: '
     
-    completion = Client().generate(model, conversation)
+    # completion = Client().generate(model, conversation)
 
-    for token in completion:
-        yield token
+    # for token in completion:
+    #     yield token
 
 params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
     '(%s)' % ', '.join([f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

g4f/Provider/Providers/Wewordle.py

@@ -0,0 +1,73 @@
+import os,sys
+import requests
+import json
+import random
+import time
+import string
+from ...typing import sha256, Dict, get_type_hints
+
+url = "https://wewordle.org/gptapi/v1/android/turbo"
+model = ['gpt-3.5-turbo']
+supports_stream = False
+needs_auth = False
+working = False
+
+def _create_completion(model: str, messages: list, stream: bool, **kwargs):
+    base = ''
+    for message in messages:
+        base += '%s: %s\n' % (message['role'], message['content'])
+    base += 'assistant:'
+    # randomize user id and app id
+    _user_id = ''.join(random.choices(f'{string.ascii_lowercase}{string.digits}', k=16))
+    _app_id = ''.join(random.choices(f'{string.ascii_lowercase}{string.digits}', k=31))
+    # make current date with format utc
+    _request_date = time.strftime("%Y-%m-%dT%H:%M:%S.000Z", time.gmtime())
+    headers = {
+        'accept': '*/*',
+        'pragma': 'no-cache',
+        'Content-Type': 'application/json',
+        'Connection':'keep-alive'
+        # user agent android client
+        # 'User-Agent': 'Dalvik/2.1.0 (Linux; U; Android 10; SM-G975F Build/QP1A.190711.020)',
+        
+    }
+    data = {
+        "user": _user_id,
+        "messages": [
+            {"role": "user", "content": base}
+        ],
+        "subscriber": {
+            "originalPurchaseDate": None,
+            "originalApplicationVersion": None,
+            "allPurchaseDatesMillis": {},
+            "entitlements": {
+                "active": {},
+                "all": {}
+            },
+            "allPurchaseDates": {},
+            "allExpirationDatesMillis": {},
+            "allExpirationDates": {},
+            "originalAppUserId": f"$RCAnonymousID:{_app_id}",
+            "latestExpirationDate": None,
+            "requestDate": _request_date,
+            "latestExpirationDateMillis": None,
+            "nonSubscriptionTransactions": [],
+            "originalPurchaseDateMillis": None,
+            "managementURL": None,
+            "allPurchasedProductIdentifiers": [],
+            "firstSeen": _request_date,
+            "activeSubscriptions": []
+        }
+    }
+    response = requests.post(url, headers=headers, data=json.dumps(data))
+    if response.status_code == 200:
+        _json = response.json()
+        if 'message' in _json:
+            yield _json['message']['content']
+    else:
+        print(f"Error Occurred::{response.status_code}")
+        return None
+
+params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
+    '(%s)' % ', '.join(
+        [f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

g4f/Provider/Providers/You.py

@@ -9,6 +9,7 @@ url = 'https://you.com'
 model = 'gpt-3.5-turbo'
 supports_stream = True
 needs_auth = False
+working = False
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):
 

g4f/Provider/Providers/Yqcloud.py

@@ -9,6 +9,7 @@ model = [
 ]
 supports_stream = True
 needs_auth = False
+working = False
 
 def _create_completion(model: str, messages: list, stream: bool, **kwargs):