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author | Tekky <98614666+xtekky@users.noreply.github.com> | 2024-07-11 20:03:13 +0200 |
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committer | GitHub <noreply@github.com> | 2024-07-11 20:03:13 +0200 |
commit | 31edda55f75b85651998bc0a77f22e538accaa1f (patch) | |
tree | cfb769c3569449780c9edc5073eb47180e60655d | |
parent | Merge pull request #2097 from gamelist1990/main (diff) | |
parent | Update g4f/models.py (diff) | |
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Diffstat (limited to '')
26 files changed, 1072 insertions, 337 deletions
diff --git a/g4f/Provider/AI365VIP.py b/g4f/Provider/AI365VIP.py new file mode 100644 index 00000000..fc6ad237 --- /dev/null +++ b/g4f/Provider/AI365VIP.py @@ -0,0 +1,67 @@ +from __future__ import annotations + +from aiohttp import ClientSession + +from ..typing import AsyncResult, Messages +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from .helper import format_prompt + + +class AI365VIP(AsyncGeneratorProvider, ProviderModelMixin): + url = "https://chat.ai365vip.com" + api_endpoint = "/api/chat" + working = True + supports_gpt_35_turbo = True + supports_gpt_4 = True + default_model = 'gpt-3.5-turbo' + models = [ + 'gpt-3.5-turbo', + 'gpt-4o', + 'claude-3-haiku-20240307', + ] + model_aliases = { + "claude-3-haiku": "claude-3-haiku-20240307", + } + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + proxy: str = None, + **kwargs + ) -> AsyncResult: + headers = { + "accept": "*/*", + "accept-language": "en-US,en;q=0.9", + "content-type": "application/json", + "dnt": "1", + "origin": "https://chat.ai365vip.com", + "priority": "u=1, i", + "referer": "https://chat.ai365vip.com/en", + "sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126"', + "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/126.0.0.0 Safari/537.36" + } + async with ClientSession(headers=headers) as session: + data = { + "model": { + "id": model, + "name": { + "gpt-3.5-turbo": "GPT-3.5", + "claude-3-haiku-20240307": "claude-3-haiku", + "gpt-4o": "GPT-4O" + }.get(model, model), + }, + "messages": [{"role": "user", "content": format_prompt(messages)}], + "prompt": "You are a helpful assistant.", + } + async with session.post(f"{cls.url}{cls.api_endpoint}", json=data, proxy=proxy) as response: + response.raise_for_status() + async for chunk in response.content: + if chunk: + yield chunk.decode() diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py index 6e1e3949..a86471f2 100644 --- a/g4f/Provider/Blackbox.py +++ b/g4f/Provider/Blackbox.py @@ -2,31 +2,35 @@ from __future__ import annotations import uuid import secrets -from aiohttp import ClientSession +import re +from aiohttp import ClientSession, ClientResponse +from typing import AsyncGenerator, Optional from ..typing import AsyncResult, Messages, ImageType from ..image import to_data_uri -from .base_provider import AsyncGeneratorProvider +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin -class Blackbox(AsyncGeneratorProvider): +class Blackbox(AsyncGeneratorProvider, ProviderModelMixin): url = "https://www.blackbox.ai" working = True + default_model = 'blackbox' @classmethod async def create_async_generator( cls, model: str, messages: Messages, - proxy: str = None, - image: ImageType = None, - image_name: str = None, + proxy: Optional[str] = None, + image: Optional[ImageType] = None, + image_name: Optional[str] = None, **kwargs - ) -> AsyncResult: + ) -> AsyncGenerator[str, None]: if image is not None: messages[-1]["data"] = { - "fileText": image_name, + "fileText": image_name, "imageBase64": to_data_uri(image) } + headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36", "Accept": "*/*", @@ -40,9 +44,11 @@ class Blackbox(AsyncGeneratorProvider): "Alt-Used": "www.blackbox.ai", "Connection": "keep-alive", } + async with ClientSession(headers=headers) as session: random_id = secrets.token_hex(16) random_user_id = str(uuid.uuid4()) + data = { "messages": messages, "id": random_id, @@ -55,10 +61,17 @@ class Blackbox(AsyncGeneratorProvider): "playgroundMode": False, "webSearchMode": False, "userSystemPrompt": "", - "githubToken": None + "githubToken": None, + "maxTokens": None } - async with session.post(f"{cls.url}/api/chat", json=data, proxy=proxy) as response: + + async with session.post( + f"{cls.url}/api/chat", json=data, proxy=proxy + ) as response: # type: ClientResponse response.raise_for_status() - async for chunk in response.content: + async for chunk in response.content.iter_any(): if chunk: - yield chunk.decode() + # Decode the chunk and clean up unwanted prefixes using a regex + decoded_chunk = chunk.decode() + cleaned_chunk = re.sub(r'\$@\$.+?\$@\$|\$@\$', '', decoded_chunk) + yield cleaned_chunk diff --git a/g4f/Provider/Chatgpt4o.py b/g4f/Provider/Chatgpt4o.py new file mode 100644 index 00000000..f3dc8a15 --- /dev/null +++ b/g4f/Provider/Chatgpt4o.py @@ -0,0 +1,83 @@ +from __future__ import annotations + +import re +from ..requests import StreamSession, raise_for_status +from ..typing import Messages +from .base_provider import AsyncProvider, ProviderModelMixin +from .helper import format_prompt + + +class Chatgpt4o(AsyncProvider, ProviderModelMixin): + url = "https://chatgpt4o.one" + supports_gpt_4 = True + working = True + _post_id = None + _nonce = None + default_model = 'gpt-4o' + + + @classmethod + async def create_async( + cls, + model: str, + messages: Messages, + proxy: str = None, + timeout: int = 120, + cookies: dict = None, + **kwargs + ) -> str: + headers = { + 'authority': 'chatgpt4o.one', + '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://chatgpt4o.one', + 'referer': 'https://chatgpt4o.one', + 'sec-ch-ua': '"Chromium";v="118", "Google Chrome";v="118", "Not=A?Brand";v="99"', + '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 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36', + } + + async with StreamSession( + headers=headers, + cookies=cookies, + impersonate="chrome", + proxies={"all": proxy}, + timeout=timeout + ) as session: + + if not cls._post_id or not cls._nonce: + async with session.get(f"{cls.url}/") as response: + await raise_for_status(response) + response_text = await response.text() + + post_id_match = re.search(r'data-post-id="([0-9]+)"', response_text) + nonce_match = re.search(r'data-nonce="(.*?)"', response_text) + + if not post_id_match: + raise RuntimeError("No post ID found") + cls._post_id = post_id_match.group(1) + + if not nonce_match: + raise RuntimeError("No nonce found") + cls._nonce = nonce_match.group(1) + + prompt = format_prompt(messages) + data = { + "_wpnonce": cls._nonce, + "post_id": cls._post_id, + "url": cls.url, + "action": "wpaicg_chat_shortcode_message", + "message": prompt, + "bot_id": "0" + } + + async with session.post(f"{cls.url}/wp-admin/admin-ajax.php", data=data, cookies=cookies) as response: + await raise_for_status(response) + response_json = await response.json() + if "data" not in response_json: + raise RuntimeError("Unexpected response structure: 'data' field missing") + return response_json["data"] diff --git a/g4f/Provider/ChatgptFree.py b/g4f/Provider/ChatgptFree.py index 22064f1b..b1e00a22 100644 --- a/g4f/Provider/ChatgptFree.py +++ b/g4f/Provider/ChatgptFree.py @@ -10,7 +10,7 @@ from .helper import format_prompt class ChatgptFree(AsyncProvider): url = "https://chatgptfree.ai" supports_gpt_35_turbo = True - working = False + working = True _post_id = None _nonce = None diff --git a/g4f/Provider/DDG.py b/g4f/Provider/DDG.py new file mode 100644 index 00000000..2aa78773 --- /dev/null +++ b/g4f/Provider/DDG.py @@ -0,0 +1,117 @@ +from __future__ import annotations + +import json +import aiohttp +import asyncio +from typing import Optional +import base64 + +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from .helper import get_connector +from ..typing import AsyncResult, Messages +from ..requests.raise_for_status import raise_for_status +from ..providers.conversation import BaseConversation + +class DDG(AsyncGeneratorProvider, ProviderModelMixin): + url = base64.b64decode("aHR0cHM6Ly9kdWNrZHVja2dvLmNvbS9haWNoYXQ=").decode("utf-8") + working = True + supports_gpt_35_turbo = True + supports_message_history = True + + default_model = "gpt-3.5-turbo-0125" + models = ["gpt-3.5-turbo-0125", "claude-3-haiku-20240307", "meta-llama/Llama-3-70b-chat-hf", "mistralai/Mixtral-8x7B-Instruct-v0.1"] + model_aliases = { + "gpt-3.5-turbo": "gpt-3.5-turbo-0125", + "claude-3-haiku": "claude-3-haiku-20240307", + "llama-3-70b": "meta-llama/Llama-3-70b-chat-hf", + "mixtral-8x7B": "mistralai/Mixtral-8x7B-Instruct-v0.1" + } + + # Obfuscated URLs and headers + status_url = base64.b64decode("aHR0cHM6Ly9kdWNrZHVja2dvLmNvbS9kdWNrY2hhdC92MS9zdGF0dXM=").decode("utf-8") + chat_url = base64.b64decode("aHR0cHM6Ly9kdWNrZHVja2dvLmNvbS9kdWNrY2hhdC92MS9jaGF0").decode("utf-8") + referer = base64.b64decode("aHR0cHM6Ly9kdWNrZHVja2dvLmNvbS8=").decode("utf-8") + origin = base64.b64decode("aHR0cHM6Ly9kdWNrZHVja2dvLmNvbQ==").decode("utf-8") + + user_agent = 'Mozilla/5.0 (Windows NT 10.0; rv:127.0) Gecko/20100101 Firefox/127.0' + headers = { + 'User-Agent': user_agent, + 'Accept': 'text/event-stream', + 'Accept-Language': 'en-US,en;q=0.5', + 'Accept-Encoding': 'gzip, deflate, br, zstd', + 'Referer': referer, + 'Content-Type': 'application/json', + 'Origin': origin, + 'Connection': 'keep-alive', + 'Cookie': 'dcm=3', + 'Sec-Fetch-Dest': 'empty', + 'Sec-Fetch-Mode': 'cors', + 'Sec-Fetch-Site': 'same-origin', + 'Pragma': 'no-cache', + 'TE': 'trailers' + } + + @classmethod + async def get_vqd(cls, session: aiohttp.ClientSession) -> Optional[str]: + try: + async with session.get(cls.status_url, headers={"x-vqd-accept": "1"}) as response: + await raise_for_status(response) + return response.headers.get("x-vqd-4") + except Exception as e: + print(f"Error getting VQD: {e}") + return None + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + proxy: str = None, + connector: aiohttp.BaseConnector = None, + conversation: Conversation = None, + return_conversation: bool = False, + **kwargs + ) -> AsyncResult: + async with aiohttp.ClientSession(headers=cls.headers, connector=get_connector(connector, proxy)) as session: + vqd_4 = None + if conversation is not None and len(messages) > 1: + vqd_4 = conversation.vqd_4 + messages = [*conversation.messages, messages[-2], messages[-1]] + else: + for _ in range(3): # Try up to 3 times to get a valid VQD + vqd_4 = await cls.get_vqd(session) + if vqd_4: + break + await asyncio.sleep(1) # Wait a bit before retrying + + if not vqd_4: + raise Exception("Failed to obtain a valid VQD token") + + messages = [messages[-1]] # Only use the last message for new conversations + + payload = { + 'model': cls.get_model(model), + 'messages': [{'role': m['role'], 'content': m['content']} for m in messages] + } + + async with session.post(cls.chat_url, json=payload, headers={"x-vqd-4": vqd_4}) as response: + await raise_for_status(response) + if return_conversation: + yield Conversation(vqd_4, messages) + + async for line in response.content: + if line.startswith(b"data: "): + chunk = line[6:] + if chunk.startswith(b"[DONE]"): + break + try: + data = json.loads(chunk) + if "message" in data and data["message"]: + yield data["message"] + except json.JSONDecodeError: + print(f"Failed to decode JSON: {chunk}") + +class Conversation(BaseConversation): + def __init__(self, vqd_4: str, messages: Messages) -> None: + self.vqd_4 = vqd_4 + self.messages = messages diff --git a/g4f/Provider/Feedough.py b/g4f/Provider/Feedough.py index 2ce4561e..d35e30ee 100644 --- a/g4f/Provider/Feedough.py +++ b/g4f/Provider/Feedough.py @@ -1,17 +1,20 @@ from __future__ import annotations import json -from aiohttp import ClientSession +import asyncio +from aiohttp import ClientSession, TCPConnector +from urllib.parse import urlencode from ..typing import AsyncResult, Messages -from .base_provider import AsyncGeneratorProvider +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from .helper import format_prompt -class Feedough(AsyncGeneratorProvider): +class Feedough(AsyncGeneratorProvider, ProviderModelMixin): url = "https://www.feedough.com" + api_endpoint = "/wp-admin/admin-ajax.php" working = True - supports_gpt_35_turbo = True + default_model = '' @classmethod async def create_async_generator( @@ -22,31 +25,54 @@ class Feedough(AsyncGeneratorProvider): **kwargs ) -> AsyncResult: headers = { - "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36", - "Accept": "*/*", - "Accept-Language": "en-US,en;q=0.5", - "Accept-Encoding": "gzip, deflate, br", - "Referer": "https://www.feedough.com/ai-prompt-generator/", - "Content-Type": "application/x-www-form-urlencoded;charset=UTF-8", - "Origin": "https://www.feedough.com", - "DNT": "1", - "Sec-GPC": "1", - "Connection": "keep-alive", - "Sec-Fetch-Dest": "empty", - "Sec-Fetch-Mode": "cors", - "Sec-Fetch-Site": "same-origin", - "TE": "trailers", + "accept": "*/*", + "accept-language": "en-US,en;q=0.9", + "content-type": "application/x-www-form-urlencoded;charset=UTF-8", + "dnt": "1", + "origin": cls.url, + "referer": f"{cls.url}/ai-prompt-generator/", + "sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126"', + "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/126.0.0.0 Safari/537.36" } - async with ClientSession(headers=headers) as session: - prompt = format_prompt(messages) + + connector = TCPConnector(ssl=False) + + async with ClientSession(headers=headers, connector=connector) as session: data = { "action": "aixg_generate", - "prompt": prompt, + "prompt": format_prompt(messages), + "aixg_generate_nonce": "110c021031" } - async with session.post(f"{cls.url}/wp-admin/admin-ajax.php", data=data, proxy=proxy) as response: - response.raise_for_status() - response_text = await response.text() - response_json = json.loads(response_text) - if response_json["success"]: - message = response_json["data"]["message"] - yield message + + try: + async with session.post( + f"{cls.url}{cls.api_endpoint}", + data=urlencode(data), + proxy=proxy + ) as response: + response.raise_for_status() + response_text = await response.text() + try: + response_json = json.loads(response_text) + if response_json.get("success") and "data" in response_json: + message = response_json["data"].get("message", "") + yield message + except json.JSONDecodeError: + yield response_text + except Exception as e: + print(f"An error occurred: {e}") + + @classmethod + async def run(cls, *args, **kwargs): + async for item in cls.create_async_generator(*args, **kwargs): + yield item + + tasks = asyncio.all_tasks() + for task in tasks: + if not task.done(): + await task diff --git a/g4f/Provider/FreeChatgpt.py b/g4f/Provider/FreeChatgpt.py index 3fb247c7..7d8c1d10 100644 --- a/g4f/Provider/FreeChatgpt.py +++ b/g4f/Provider/FreeChatgpt.py @@ -1,17 +1,27 @@ from __future__ import annotations - import json -from aiohttp import ClientSession, ClientTimeout - +from aiohttp import ClientSession from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider, ProviderModelMixin -from ..requests.raise_for_status import raise_for_status +from .helper import format_prompt + class FreeChatgpt(AsyncGeneratorProvider, ProviderModelMixin): - url = "https://free.chatgpt.org.uk" + url = "https://chat.chatgpt.org.uk" + api_endpoint = "/api/openai/v1/chat/completions" working = True - supports_message_history = True - default_model = "google-gemini-pro" + supports_gpt_35_turbo = True + default_model = 'gpt-3.5-turbo' + models = [ + 'gpt-3.5-turbo', + 'SparkDesk-v1.1', + 'deepseek-coder', + 'deepseek-chat', + 'Qwen2-7B-Instruct', + 'glm4-9B-chat', + 'chatglm3-6B', + 'Yi-1.5-9B-Chat', + ] @classmethod async def create_async_generator( @@ -19,45 +29,50 @@ class FreeChatgpt(AsyncGeneratorProvider, ProviderModelMixin): model: str, messages: Messages, proxy: str = None, - timeout: int = 120, **kwargs ) -> AsyncResult: headers = { - "Accept": "application/json, text/event-stream", - "Content-Type":"application/json", - "Accept-Encoding": "gzip, deflate, br", - "Accept-Language": "en-US,en;q=0.5", - "Host":"free.chatgpt.org.uk", - "Referer":f"{cls.url}/", - "Origin":f"{cls.url}", - "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/120.0.0.0 Safari/537.36", + "accept": "application/json, text/event-stream", + "accept-language": "en-US,en;q=0.9", + "content-type": "application/json", + "dnt": "1", + "origin": cls.url, + "referer": f"{cls.url}/", + "sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126"', + "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/126.0.0.0 Safari/537.36", } - async with ClientSession(headers=headers, timeout=ClientTimeout(timeout)) as session: + async with ClientSession(headers=headers) as session: + prompt = format_prompt(messages) data = { - "messages": messages, + "messages": [ + {"role": "system", "content": "\nYou are ChatGPT, a large language model trained by OpenAI.\nKnowledge cutoff: 2021-09\nCurrent model: gpt-3.5-turbo\nCurrent time: Thu Jul 04 2024 21:35:59 GMT+0300 (Eastern European Summer Time)\nLatex inline: \\(x^2\\) \nLatex block: $$e=mc^2$$\n\n"}, + {"role": "user", "content": prompt} + ], "stream": True, - "model": cls.get_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) + "model": model, + "temperature": 0.5, + "presence_penalty": 0, + "frequency_penalty": 0, + "top_p": 1 } - async with session.post(f'{cls.url}/api/openai/v1/chat/completions', json=data, proxy=proxy) as response: - await raise_for_status(response) - started = False + async with session.post(f"{cls.url}{cls.api_endpoint}", json=data, proxy=proxy) as response: + response.raise_for_status() + accumulated_text = "" async for line in response.content: - if line.startswith(b"data: [DONE]"): - break - elif line.startswith(b"data: "): - line = json.loads(line[6:]) - if(line["choices"]==[]): - continue - chunk = line["choices"][0]["delta"].get("content") - if chunk: - started = True - yield chunk - if not started: - raise RuntimeError("Empty response")
\ No newline at end of file + if line: + line_str = line.decode().strip() + if line_str == "data: [DONE]": + yield accumulated_text + break + elif line_str.startswith("data: "): + try: + chunk = json.loads(line_str[6:]) + delta_content = chunk.get("choices", [{}])[0].get("delta", {}).get("content", "") + accumulated_text += delta_content + except json.JSONDecodeError: + pass diff --git a/g4f/Provider/FreeGpt.py b/g4f/Provider/FreeGpt.py index f79f0a66..7fa3b5ab 100644 --- a/g4f/Provider/FreeGpt.py +++ b/g4f/Provider/FreeGpt.py @@ -1,55 +1,67 @@ from __future__ import annotations -import time, hashlib, random - -from ..typing import AsyncResult, Messages +import time +import hashlib +import random +from typing import AsyncGenerator, Optional, Dict, Any +from ..typing import Messages from ..requests import StreamSession, raise_for_status from .base_provider import AsyncGeneratorProvider from ..errors import RateLimitError -domains = [ +# Constants +DOMAINS = [ "https://s.aifree.site", "https://v.aifree.site/" ] +RATE_LIMIT_ERROR_MESSAGE = "当前地区当日额度已消耗完" + class FreeGpt(AsyncGeneratorProvider): - url = "https://freegptsnav.aifree.site" - working = True - supports_message_history = True - supports_system_message = True - supports_gpt_35_turbo = True + url: str = "https://freegptsnav.aifree.site" + working: bool = True + supports_message_history: bool = True + supports_system_message: bool = True + supports_gpt_35_turbo: bool = True @classmethod async def create_async_generator( cls, model: str, messages: Messages, - proxy: str = None, + proxy: Optional[str] = None, timeout: int = 120, - **kwargs - ) -> AsyncResult: + **kwargs: Any + ) -> AsyncGenerator[str, None]: + prompt = messages[-1]["content"] + timestamp = int(time.time()) + data = cls._build_request_data(messages, prompt, timestamp) + + domain = random.choice(DOMAINS) + async with StreamSession( impersonate="chrome", timeout=timeout, - proxies={"all": proxy} + proxies={"all": proxy} if proxy else None ) as session: - prompt = messages[-1]["content"] - timestamp = int(time.time()) - data = { - "messages": messages, - "time": timestamp, - "pass": None, - "sign": generate_signature(timestamp, prompt) - } - domain = random.choice(domains) async with session.post(f"{domain}/api/generate", json=data) as response: await raise_for_status(response) async for chunk in response.iter_content(): - chunk = chunk.decode(errors="ignore") - if chunk == "当前地区当日额度已消耗完": + chunk_decoded = chunk.decode(errors="ignore") + if chunk_decoded == RATE_LIMIT_ERROR_MESSAGE: raise RateLimitError("Rate limit reached") - yield chunk - -def generate_signature(timestamp: int, message: str, secret: str = ""): + yield chunk_decoded + + @staticmethod + def _build_request_data(messages: Messages, prompt: str, timestamp: int, secret: str = "") -> Dict[str, Any]: + return { + "messages": messages, + "time": timestamp, + "pass": None, + "sign": generate_signature(timestamp, prompt, secret) + } + + +def generate_signature(timestamp: int, message: str, secret: str = "") -> str: data = f"{timestamp}:{message}:{secret}" return hashlib.sha256(data.encode()).hexdigest() diff --git a/g4f/Provider/GeminiProChat.py b/g4f/Provider/GeminiProChat.py index d88c4ed0..c61e2ff3 100644 --- a/g4f/Provider/GeminiProChat.py +++ b/g4f/Provider/GeminiProChat.py @@ -9,13 +9,14 @@ from ..errors import RateLimitError from ..requests import raise_for_status from ..requests.aiohttp import get_connector from ..typing import AsyncResult, Messages -from .base_provider import AsyncGeneratorProvider +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin -class GeminiProChat(AsyncGeneratorProvider): +class GeminiProChat(AsyncGeneratorProvider, ProviderModelMixin): url = "https://www.chatgot.one/" working = True supports_message_history = True + default_model = '' @classmethod async def create_async_generator( @@ -32,8 +33,8 @@ class GeminiProChat(AsyncGeneratorProvider): "Accept-Language": "en-US,en;q=0.5", "Accept-Encoding": "gzip, deflate, br", "Content-Type": "text/plain;charset=UTF-8", - "Referer": "https://gemini-chatbot-sigma.vercel.app/", - "Origin": "https://gemini-chatbot-sigma.vercel.app", + "Referer": f"{cls.url}/", + "Origin": cls.url, "Sec-Fetch-Dest": "empty", "Sec-Fetch-Mode": "cors", "Sec-Fetch-Site": "same-origin", diff --git a/g4f/Provider/HuggingChat.py b/g4f/Provider/HuggingChat.py index 00d49b82..d480d13c 100644 --- a/g4f/Provider/HuggingChat.py +++ b/g4f/Provider/HuggingChat.py @@ -13,15 +13,13 @@ class HuggingChat(AbstractProvider, ProviderModelMixin): supports_stream = True default_model = "mistralai/Mixtral-8x7B-Instruct-v0.1" models = [ - "HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1", 'CohereForAI/c4ai-command-r-plus', + 'meta-llama/Meta-Llama-3-70B-Instruct', 'mistralai/Mixtral-8x7B-Instruct-v0.1', - 'google/gemma-1.1-7b-it', 'NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO', + '01-ai/Yi-1.5-34B-Chat', 'mistralai/Mistral-7B-Instruct-v0.2', - 'meta-llama/Meta-Llama-3-70B-Instruct', 'microsoft/Phi-3-mini-4k-instruct', - '01-ai/Yi-1.5-34B-Chat' ] model_aliases = { diff --git a/g4f/Provider/HuggingFace.py b/g4f/Provider/HuggingFace.py index 6a05c26e..a5e27ccf 100644 --- a/g4f/Provider/HuggingFace.py +++ b/g4f/Provider/HuggingFace.py @@ -12,10 +12,16 @@ from ..requests.raise_for_status import raise_for_status class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin): url = "https://huggingface.co/chat" working = True + needs_auth = True supports_message_history = True models = [ - "mistralai/Mixtral-8x7B-Instruct-v0.1", - "mistralai/Mistral-7B-Instruct-v0.2" + 'CohereForAI/c4ai-command-r-plus', + 'meta-llama/Meta-Llama-3-70B-Instruct', + 'mistralai/Mixtral-8x7B-Instruct-v0.1', + 'NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO', + '01-ai/Yi-1.5-34B-Chat', + 'mistralai/Mistral-7B-Instruct-v0.2', + 'microsoft/Phi-3-mini-4k-instruct', ] default_model = "mistralai/Mixtral-8x7B-Instruct-v0.1" @@ -74,4 +80,4 @@ def format_prompt(messages: Messages) -> str: for idx, message in enumerate(messages) if message["role"] == "assistant" ]) - return f"{history}<s>[INST] {question} [/INST]"
\ No newline at end of file + return f"{history}<s>[INST] {question} [/INST]" diff --git a/g4f/Provider/Koala.py b/g4f/Provider/Koala.py index 849bcdbe..c708bcb9 100644 --- a/g4f/Provider/Koala.py +++ b/g4f/Provider/Koala.py @@ -1,7 +1,8 @@ from __future__ import annotations import json -from aiohttp import ClientSession, BaseConnector +from typing import AsyncGenerator, Optional, List, Dict, Union, Any +from aiohttp import ClientSession, BaseConnector, ClientResponse from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider @@ -19,12 +20,13 @@ class Koala(AsyncGeneratorProvider): cls, model: str, messages: Messages, - proxy: str = None, - connector: BaseConnector = None, - **kwargs - ) -> AsyncResult: + proxy: Optional[str] = None, + connector: Optional[BaseConnector] = None, + **kwargs: Any + ) -> AsyncGenerator[Dict[str, Union[str, int, float, List[Dict[str, Any]], None]], None]: if not model: model = "gpt-3.5-turbo" + headers = { "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:122.0) Gecko/20100101 Firefox/122.0", "Accept": "text/event-stream", @@ -40,13 +42,17 @@ class Koala(AsyncGeneratorProvider): "Sec-Fetch-Site": "same-origin", "TE": "trailers", } + async with ClientSession(headers=headers, connector=get_connector(connector, proxy)) as session: - input = messages[-1]["content"] - system_messages = [message["content"] for message in messages if message["role"] == "system"] + input_text = messages[-1]["content"] + system_messages = " ".join( + message["content"] for message in messages if message["role"] == "system" + ) if system_messages: - input += " ".join(system_messages) + input_text += f" {system_messages}" + data = { - "input": input, + "input": input_text, "inputHistory": [ message["content"] for message in messages[:-1] @@ -59,8 +65,14 @@ class Koala(AsyncGeneratorProvider): ], "model": model, } + async with session.post(f"{cls.url}/api/gpt/", json=data, proxy=proxy) as response: await raise_for_status(response) - async for chunk in response.content: - if chunk.startswith(b"data: "): - yield json.loads(chunk[6:])
\ No newline at end of file + async for chunk in cls._parse_event_stream(response): + yield chunk + + @staticmethod + async def _parse_event_stream(response: ClientResponse) -> AsyncGenerator[Dict[str, Any], None]: + async for chunk in response.content: + if chunk.startswith(b"data: "): + yield json.loads(chunk[6:]) diff --git a/g4f/Provider/Liaobots.py b/g4f/Provider/Liaobots.py index 75ecf300..277d8ea2 100644 --- a/g4f/Provider/Liaobots.py +++ b/g4f/Provider/Liaobots.py @@ -10,7 +10,16 @@ from .helper import get_connector from ..requests import raise_for_status models = { - "gpt-4o": { + "gpt-3.5-turbo": { + "id": "gpt-3.5-turbo", + "name": "GPT-3.5-Turbo", + "model": "ChatGPT", + "provider": "OpenAI", + "maxLength": 48000, + "tokenLimit": 14000, + "context": "16K", + }, + "gpt-4o-free": { "context": "8K", "id": "gpt-4o-free", "maxLength": 31200, @@ -19,51 +28,74 @@ models = { "provider": "OpenAI", "tokenLimit": 7800, }, - "gpt-3.5-turbo": { - "id": "gpt-3.5-turbo", - "name": "GPT-3.5-Turbo", - "maxLength": 48000, - "tokenLimit": 14000, - "context": "16K", - }, - "gpt-4-turbo": { - "id": "gpt-4-turbo-preview", + "gpt-4-turbo-2024-04-09": { + "id": "gpt-4-turbo-2024-04-09", "name": "GPT-4-Turbo", + "model": "ChatGPT", + "provider": "OpenAI", "maxLength": 260000, "tokenLimit": 126000, "context": "128K", }, - "gpt-4": { - "id": "gpt-4-plus", - "name": "GPT-4-Plus", - "maxLength": 130000, - "tokenLimit": 31000, - "context": "32K", + "gpt-4o": { + "context": "128K", + "id": "gpt-4o", + "maxLength": 124000, + "model": "ChatGPT", + "name": "GPT-4o", + "provider": "OpenAI", + "tokenLimit": 62000, }, "gpt-4-0613": { "id": "gpt-4-0613", "name": "GPT-4-0613", - "maxLength": 60000, - "tokenLimit": 15000, - "context": "16K", - }, - "gemini-pro": { - "id": "gemini-pro", - "name": "Gemini-Pro", - "maxLength": 120000, - "tokenLimit": 30000, - "context": "32K", + "model": "ChatGPT", + "provider": "OpenAI", + "maxLength": 32000, + "tokenLimit": 7600, + "context": "8K", }, "claude-3-opus-20240229": { "id": "claude-3-opus-20240229", "name": "Claude-3-Opus", + "model": "Claude", + "provider": "Anthropic", + "maxLength": 800000, + "tokenLimit": 200000, + "context": "200K", + }, + "claude-3-opus-20240229-aws": { + "id": "claude-3-opus-20240229-aws", + "name": "Claude-3-Opus-Aws", + "model": "Claude", + "provider": "Anthropic", "maxLength": 800000, "tokenLimit": 200000, "context": "200K", }, + "claude-3-opus-100k-poe": { + "id": "claude-3-opus-100k-poe", + "name": "Claude-3-Opus-100k-Poe", + "model": "Claude", + "provider": "Anthropic", + "maxLength": 400000, + "tokenLimit": 99000, + "context": "100K", + }, "claude-3-sonnet-20240229": { "id": "claude-3-sonnet-20240229", "name": "Claude-3-Sonnet", + "model": "Claude", + "provider": "Anthropic", + "maxLength": 800000, + "tokenLimit": 200000, + "context": "200K", + }, + "claude-3-haiku-20240307": { + "id": "claude-3-haiku-20240307", + "name": "Claude-3-Haiku", + "model": "Claude", + "provider": "Anthropic", "maxLength": 800000, "tokenLimit": 200000, "context": "200K", @@ -71,6 +103,8 @@ models = { "claude-2.1": { "id": "claude-2.1", "name": "Claude-2.1-200k", + "model": "Claude", + "provider": "Anthropic", "maxLength": 800000, "tokenLimit": 200000, "context": "200K", @@ -78,16 +112,38 @@ models = { "claude-2.0": { "id": "claude-2.0", "name": "Claude-2.0-100k", + "model": "Claude", + "provider": "Anthropic", "maxLength": 400000, "tokenLimit": 100000, "context": "100K", }, - "claude-instant-1": { - "id": "claude-instant-1", - "name": "Claude-instant-1", - "maxLength": 400000, - "tokenLimit": 100000, - "context": "100K", + "gemini-1.0-pro-latest": { + "id": "gemini-1.0-pro-latest", + "name": "Gemini-Pro", + "model": "Gemini", + "provider": "Google", + "maxLength": 120000, + "tokenLimit": 30000, + "context": "32K", + }, + "gemini-1.5-flash-latest": { + "id": "gemini-1.5-flash-latest", + "name": "Gemini-1.5-Flash-1M", + "model": "Gemini", + "provider": "Google", + "maxLength": 4000000, + "tokenLimit": 1000000, + "context": "1024K", + }, + "gemini-1.5-pro-latest": { + "id": "gemini-1.5-pro-latest", + "name": "Gemini-1.5-Pro-1M", + "model": "Gemini", + "provider": "Google", + "maxLength": 4000000, + "tokenLimit": 1000000, + "context": "1024K", } } @@ -100,9 +156,9 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin): supports_gpt_35_turbo = True supports_gpt_4 = True default_model = "gpt-3.5-turbo" - models = list(models) + models = list(models.keys()) model_aliases = { - "claude-v2": "claude-2" + "claude-v2": "claude-2.0" } _auth_code = "" _cookie_jar = None @@ -131,7 +187,7 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin): ) as session: data = { "conversationId": str(uuid.uuid4()), - "model": models[cls.get_model(model)], + "model": models[model], "messages": messages, "key": "", "prompt": kwargs.get("system_message", "You are a helpful assistant."), @@ -189,3 +245,45 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin): raise RuntimeError("Invalid session") if chunk: yield chunk.decode(errors="ignore") + + @classmethod + def get_model(cls, model: str) -> str: + """ + Retrieve the internal model identifier based on the provided model name or alias. + """ + if model in cls.model_aliases: + model = cls.model_aliases[model] + if model not in models: + raise ValueError(f"Model '{model}' is not supported.") + return model + + @classmethod + def is_supported(cls, model: str) -> bool: + """ + Check if the given model is supported. + """ + return model in models or model in cls.model_aliases + + @classmethod + async def initialize_auth_code(cls, session: ClientSession) -> None: + """ + Initialize the auth code by making the necessary login requests. + """ + async with session.post( + "https://liaobots.work/api/user", + json={"authcode": "pTIQr4FTnVRfr"}, + verify_ssl=False + ) as response: + await raise_for_status(response) + cls._auth_code = (await response.json(content_type=None))["authCode"] + if not cls._auth_code: + raise RuntimeError("Empty auth code") + cls._cookie_jar = session.cookie_jar + + @classmethod + async def ensure_auth_code(cls, session: ClientSession) -> None: + """ + Ensure the auth code is initialized, and if not, perform the initialization. + """ + if not cls._auth_code: + await cls.initialize_auth_code(session) diff --git a/g4f/Provider/MetaAI.py b/g4f/Provider/MetaAI.py index caed7778..f1ef348a 100644 --- a/g4f/Provider/MetaAI.py +++ b/g4f/Provider/MetaAI.py @@ -12,7 +12,7 @@ from ..typing import AsyncResult, Messages, Cookies from ..requests import raise_for_status, DEFAULT_HEADERS from ..image import ImageResponse, ImagePreview from ..errors import ResponseError -from .base_provider import AsyncGeneratorProvider +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from .helper import format_prompt, get_connector, format_cookies class Sources(): @@ -25,10 +25,11 @@ class Sources(): class AbraGeoBlockedError(Exception): pass -class MetaAI(AsyncGeneratorProvider): +class MetaAI(AsyncGeneratorProvider, ProviderModelMixin): label = "Meta AI" url = "https://www.meta.ai" working = True + default_model = '' def __init__(self, proxy: str = None, connector: BaseConnector = None): self.session = ClientSession(connector=get_connector(connector, proxy), headers=DEFAULT_HEADERS) @@ -234,4 +235,4 @@ def generate_offline_threading_id() -> str: # Combine timestamp and random value threading_id = (timestamp << 22) | (random_value & ((1 << 22) - 1)) - return str(threading_id)
\ No newline at end of file + return str(threading_id) diff --git a/g4f/Provider/ReplicateImage.py b/g4f/Provider/ReplicateHome.py index cc3943d7..48336831 100644 --- a/g4f/Provider/ReplicateImage.py +++ b/g4f/Provider/ReplicateHome.py @@ -1,32 +1,61 @@ from __future__ import annotations - +from typing import Generator, Optional, Dict, Any, Union, List import random import asyncio +import base64 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from ..typing import AsyncResult, Messages from ..requests import StreamSession, raise_for_status -from ..image import ImageResponse from ..errors import ResponseError +from ..image import ImageResponse -class ReplicateImage(AsyncGeneratorProvider, ProviderModelMixin): +class ReplicateHome(AsyncGeneratorProvider, ProviderModelMixin): url = "https://replicate.com" parent = "Replicate" working = True default_model = 'stability-ai/sdxl' - default_versions = [ - "39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b", - "2b017d9b67edd2ee1401238df49d75da53c523f36e363881e057f5dc3ed3c5b2" + models = [ + # image + 'stability-ai/sdxl', + 'ai-forever/kandinsky-2.2', + + # text + 'meta/llama-2-70b-chat', + 'mistralai/mistral-7b-instruct-v0.2' ] - image_models = [default_model] + + versions = { + # image + 'stability-ai/sdxl': [ + "39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b", + "2b017d9b67edd2ee1401238df49d75da53c523f36e363881e057f5dc3ed3c5b2", + "7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc" + ], + 'ai-forever/kandinsky-2.2': [ + "ad9d7879fbffa2874e1d909d1d37d9bc682889cc65b31f7bb00d2362619f194a" + ], + + + # Text + 'meta/llama-2-70b-chat': [ + "dp-542693885b1777c98ef8c5a98f2005e7" + ], + 'mistralai/mistral-7b-instruct-v0.2': [ + "dp-89e00f489d498885048e94f9809fbc76" + ] + } + + image_models = {"stability-ai/sdxl", "ai-forever/kandinsky-2.2"} + text_models = {"meta/llama-2-70b-chat", "mistralai/mistral-7b-instruct-v0.2"} @classmethod async def create_async_generator( cls, model: str, messages: Messages, - **kwargs - ) -> AsyncResult: + **kwargs: Any + ) -> Generator[Union[str, ImageResponse], None, None]: yield await cls.create_async(messages[-1]["content"], model, **kwargs) @classmethod @@ -34,13 +63,13 @@ class ReplicateImage(AsyncGeneratorProvider, ProviderModelMixin): cls, prompt: str, model: str, - api_key: str = None, - proxy: str = None, + api_key: Optional[str] = None, + proxy: Optional[str] = None, timeout: int = 180, - version: str = None, - extra_data: dict = {}, - **kwargs - ) -> ImageResponse: + version: Optional[str] = None, + extra_data: Dict[str, Any] = {}, + **kwargs: Any + ) -> Union[str, ImageResponse]: headers = { 'Accept-Encoding': 'gzip, deflate, br', 'Accept-Language': 'en-US', @@ -55,10 +84,12 @@ class ReplicateImage(AsyncGeneratorProvider, ProviderModelMixin): 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': '"macOS"', } + if version is None: - version = random.choice(cls.default_versions) + version = random.choice(cls.versions.get(model, [])) if api_key is not None: headers["Authorization"] = f"Bearer {api_key}" + async with StreamSession( proxies={"all": proxy}, headers=headers, @@ -81,6 +112,7 @@ class ReplicateImage(AsyncGeneratorProvider, ProviderModelMixin): result = await response.json() if "id" not in result: raise ResponseError(f"Invalid response: {result}") + while True: if api_key is None: url = f"https://homepage.replicate.com/api/poll?id={result['id']}" @@ -92,7 +124,13 @@ class ReplicateImage(AsyncGeneratorProvider, ProviderModelMixin): if "status" not in result: raise ResponseError(f"Invalid response: {result}") if result["status"] == "succeeded": - images = result['output'] - images = images[0] if len(images) == 1 else images - return ImageResponse(images, prompt) - await asyncio.sleep(0.5)
\ No newline at end of file + output = result['output'] + if model in cls.text_models: + return ''.join(output) if isinstance(output, list) else output + elif model in cls.image_models: + images: List[Any] = output + images = images[0] if len(images) == 1 else images + return ImageResponse(images, prompt) + elif result["status"] == "failed": + raise ResponseError(f"Prediction failed: {result}") + await asyncio.sleep(0.5) diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py index dab6f5d5..56c01150 100644 --- a/g4f/Provider/__init__.py +++ b/g4f/Provider/__init__.py @@ -10,28 +10,24 @@ from .not_working import * from .selenium import * from .needs_auth import * -from .Aichatos import Aichatos +from .AI365VIP import AI365VIP from .Aura import Aura from .Bing import Bing from .BingCreateImages import BingCreateImages from .Blackbox import Blackbox -from .ChatForAi import ChatForAi +from .Chatgpt4o import Chatgpt4o from .Chatgpt4Online import Chatgpt4Online -from .ChatgptAi import ChatgptAi from .ChatgptFree import ChatgptFree -from .ChatgptNext import ChatgptNext -from .ChatgptX import ChatgptX -from .Cnote import Cnote from .Cohere import Cohere +from .DDG import DDG from .DeepInfra import DeepInfra from .DeepInfraImage import DeepInfraImage -from .Feedough import Feedough from .FlowGpt import FlowGpt from .FreeChatgpt import FreeChatgpt from .FreeGpt import FreeGpt -from .GigaChat import GigaChat from .GeminiPro import GeminiPro from .GeminiProChat import GeminiProChat +from .GigaChat import GigaChat from .GptTalkRu import GptTalkRu from .HuggingChat import HuggingChat from .HuggingFace import HuggingFace @@ -45,12 +41,12 @@ from .Ollama import Ollama from .PerplexityLabs import PerplexityLabs from .Pi import Pi from .Pizzagpt import Pizzagpt +from .Reka import Reka from .Replicate import Replicate -from .ReplicateImage import ReplicateImage +from .ReplicateHome import ReplicateHome from .Vercel import Vercel from .WhiteRabbitNeo import WhiteRabbitNeo from .You import You -from .Reka import Reka import sys diff --git a/g4f/Provider/deprecated/Yqcloud.py b/g4f/Provider/deprecated/Yqcloud.py index 2ec6931a..227f8995 100644 --- a/g4f/Provider/deprecated/Yqcloud.py +++ b/g4f/Provider/deprecated/Yqcloud.py @@ -9,7 +9,7 @@ from ..base_provider import AsyncGeneratorProvider, format_prompt class Yqcloud(AsyncGeneratorProvider): url = "https://chat9.yqcloud.top/" - working = True + working = False supports_gpt_35_turbo = True @staticmethod diff --git a/g4f/Provider/Aichatos.py b/g4f/Provider/not_working/Aichatos.py index 1d4747d7..d651abf3 100644 --- a/g4f/Provider/Aichatos.py +++ b/g4f/Provider/not_working/Aichatos.py @@ -2,16 +2,16 @@ from __future__ import annotations from aiohttp import ClientSession -from ..typing import AsyncResult, Messages -from .base_provider import AsyncGeneratorProvider -from .helper import format_prompt +from ...typing import AsyncResult, Messages +from ..base_provider import AsyncGeneratorProvider +from ..helper import format_prompt import random class Aichatos(AsyncGeneratorProvider): url = "https://chat10.aichatos.xyz" api = "https://api.binjie.fun" - working = True + working = False supports_gpt_35_turbo = True @classmethod diff --git a/g4f/Provider/ChatForAi.py b/g4f/Provider/not_working/ChatForAi.py index 1c693955..b7f13c3d 100644 --- a/g4f/Provider/ChatForAi.py +++ b/g4f/Provider/not_working/ChatForAi.py @@ -4,14 +4,14 @@ import time import hashlib import uuid -from ..typing import AsyncResult, Messages -from ..requests import StreamSession, raise_for_status -from ..errors import RateLimitError -from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from ...typing import AsyncResult, Messages +from ...requests import StreamSession, raise_for_status +from ...errors import RateLimitError +from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin class ChatForAi(AsyncGeneratorProvider, ProviderModelMixin): url = "https://chatforai.store" - working = True + working = False default_model = "gpt-3.5-turbo" supports_message_history = True supports_gpt_35_turbo = True diff --git a/g4f/Provider/ChatgptAi.py b/g4f/Provider/not_working/ChatgptAi.py index d15140d7..5c694549 100644 --- a/g4f/Provider/ChatgptAi.py +++ b/g4f/Provider/not_working/ChatgptAi.py @@ -3,14 +3,14 @@ from __future__ import annotations import re, html, json, string, random from aiohttp import ClientSession -from ..typing import Messages, AsyncResult -from ..errors import RateLimitError -from .base_provider import AsyncGeneratorProvider -from .helper import get_random_string +from ...typing import Messages, AsyncResult +from ...errors import RateLimitError +from ..base_provider import AsyncGeneratorProvider +from ..helper import get_random_string class ChatgptAi(AsyncGeneratorProvider): url = "https://chatgpt.ai" - working = True + working = False supports_message_history = True supports_system_message = True, supports_gpt_4 = True, @@ -85,4 +85,4 @@ class ChatgptAi(AsyncGeneratorProvider): if line["type"] == "live": yield line["data"] elif line["type"] == "end": - break
\ No newline at end of file + break diff --git a/g4f/Provider/ChatgptNext.py b/g4f/Provider/not_working/ChatgptNext.py index 2d6f7487..1c15dd67 100644 --- a/g4f/Provider/ChatgptNext.py +++ b/g4f/Provider/not_working/ChatgptNext.py @@ -3,12 +3,12 @@ from __future__ import annotations import json from aiohttp import ClientSession -from ..typing import AsyncResult, Messages -from .base_provider import AsyncGeneratorProvider +from ...typing import AsyncResult, Messages +from ..base_provider import AsyncGeneratorProvider class ChatgptNext(AsyncGeneratorProvider): url = "https://www.chatgpt-free.cc" - working = True + working = False supports_gpt_35_turbo = True supports_message_history = True supports_system_message = True @@ -63,4 +63,4 @@ class ChatgptNext(AsyncGeneratorProvider): if chunk.startswith(b"data: "): content = json.loads(chunk[6:])["choices"][0]["delta"].get("content") if content: - yield content
\ No newline at end of file + yield content diff --git a/g4f/Provider/ChatgptX.py b/g4f/Provider/not_working/ChatgptX.py index 9be0d89b..760333d9 100644 --- a/g4f/Provider/ChatgptX.py +++ b/g4f/Provider/not_working/ChatgptX.py @@ -4,15 +4,15 @@ import re import json from aiohttp import ClientSession -from ..typing import AsyncResult, Messages -from .base_provider import AsyncGeneratorProvider -from .helper import format_prompt -from ..errors import RateLimitError +from ...typing import AsyncResult, Messages +from ..base_provider import AsyncGeneratorProvider +from ..helper import format_prompt +from ...errors import RateLimitError class ChatgptX(AsyncGeneratorProvider): url = "https://chatgptx.de" supports_gpt_35_turbo = True - working = True + working = False @classmethod async def create_async_generator( diff --git a/g4f/Provider/Cnote.py b/g4f/Provider/not_working/Cnote.py index 7d4018bb..48626982 100644 --- a/g4f/Provider/Cnote.py +++ b/g4f/Provider/not_working/Cnote.py @@ -3,15 +3,15 @@ from __future__ import annotations import json from aiohttp import ClientSession -from ..typing import AsyncResult, Messages -from .base_provider import AsyncGeneratorProvider -from .helper import format_prompt +from ...typing import AsyncResult, Messages +from ..base_provider import AsyncGeneratorProvider +from ..helper import format_prompt class Cnote(AsyncGeneratorProvider): url = "https://f1.cnote.top" api_url = "https://p1api.xjai.pro/freeapi/chat-process" - working = True + working = False supports_gpt_35_turbo = True @classmethod diff --git a/g4f/Provider/not_working/Feedough.py b/g4f/Provider/not_working/Feedough.py new file mode 100644 index 00000000..24c33d14 --- /dev/null +++ b/g4f/Provider/not_working/Feedough.py @@ -0,0 +1,78 @@ +from __future__ import annotations + +import json +import asyncio +from aiohttp import ClientSession, TCPConnector +from urllib.parse import urlencode + +from ...typing import AsyncResult, Messages +from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin +from ..helper import format_prompt + + +class Feedough(AsyncGeneratorProvider, ProviderModelMixin): + url = "https://www.feedough.com" + api_endpoint = "/wp-admin/admin-ajax.php" + working = False + default_model = '' + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + proxy: str = None, + **kwargs + ) -> AsyncResult: + headers = { + "accept": "*/*", + "accept-language": "en-US,en;q=0.9", + "content-type": "application/x-www-form-urlencoded;charset=UTF-8", + "dnt": "1", + "origin": cls.url, + "referer": f"{cls.url}/ai-prompt-generator/", + "sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126"', + "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/126.0.0.0 Safari/537.36" + } + + connector = TCPConnector(ssl=False) + + async with ClientSession(headers=headers, connector=connector) as session: + data = { + "action": "aixg_generate", + "prompt": format_prompt(messages), + "aixg_generate_nonce": "110c021031" + } + + try: + async with session.post( + f"{cls.url}{cls.api_endpoint}", + data=urlencode(data), + proxy=proxy + ) as response: + response.raise_for_status() + response_text = await response.text() + try: + response_json = json.loads(response_text) + if response_json.get("success") and "data" in response_json: + message = response_json["data"].get("message", "") + yield message + except json.JSONDecodeError: + yield response_text + except Exception as e: + print(f"An error occurred: {e}") + + @classmethod + async def run(cls, *args, **kwargs): + async for item in cls.create_async_generator(*args, **kwargs): + yield item + + tasks = asyncio.all_tasks() + for task in tasks: + if not task.done(): + await task diff --git a/g4f/Provider/not_working/__init__.py b/g4f/Provider/not_working/__init__.py index 4778c968..c4c9a5a1 100644 --- a/g4f/Provider/not_working/__init__.py +++ b/g4f/Provider/not_working/__init__.py @@ -1,14 +1,21 @@ from .AItianhu import AItianhu +from .Aichatos import Aichatos from .Bestim import Bestim from .ChatBase import ChatBase +from .ChatForAi import ChatForAi +from .ChatgptAi import ChatgptAi from .ChatgptDemo import ChatgptDemo from .ChatgptDemoAi import ChatgptDemoAi from .ChatgptLogin import ChatgptLogin +from .ChatgptNext import ChatgptNext +from .ChatgptX import ChatgptX from .Chatxyz import Chatxyz +from .Cnote import Cnote +from .Feedough import Feedough from .Gpt6 import Gpt6 from .GptChatly import GptChatly from .GptForLove import GptForLove from .GptGo import GptGo from .GptGod import GptGod -from .OnlineGpt import OnlineGpt
\ No newline at end of file +from .OnlineGpt import OnlineGpt diff --git a/g4f/models.py b/g4f/models.py index 78e1d74e..e9016561 100644 --- a/g4f/models.py +++ b/g4f/models.py @@ -4,30 +4,34 @@ from dataclasses import dataclass from .Provider import IterListProvider, ProviderType from .Provider import ( - Aichatos, - Bing, - Blackbox, - ChatgptAi, - ChatgptNext, - Cnote, - DeepInfra, - Feedough, - FreeGpt, - Gemini, - GeminiPro, - GigaChat, - HuggingChat, - HuggingFace, - Koala, - Liaobots, - MetaAI, - OpenaiChat, - PerplexityLabs, - Replicate, - Pi, - Vercel, - You, - Reka + AI365VIP, + Bing, + Blackbox, + Chatgpt4o, + ChatgptFree, + DDG, + DeepInfra, + DeepInfraImage, + FreeChatgpt, + FreeGpt, + Gemini, + GeminiPro, + GeminiProChat, + GigaChat, + HuggingChat, + HuggingFace, + Koala, + Liaobots, + MetaAI, + OpenaiChat, + PerplexityLabs, + Pi, + Pizzagpt, + Reka, + Replicate, + ReplicateHome, + Vercel, + You, ) @dataclass(unsafe_hash=True) @@ -54,9 +58,15 @@ default = Model( base_provider = "", best_provider = IterListProvider([ Bing, - ChatgptAi, You, OpenaiChat, + FreeChatgpt, + AI365VIP, + Chatgpt4o, + DDG, + ChatgptFree, + Koala, + Pizzagpt, ]) ) @@ -67,28 +77,58 @@ gpt_35_long = Model( best_provider = IterListProvider([ FreeGpt, You, - ChatgptNext, OpenaiChat, Koala, + ChatgptFree, + FreeChatgpt, + DDG, + AI365VIP, + Pizzagpt, ]) ) -# GPT-3.5 / GPT-4 +############ +### Text ### +############ + +### OpenAI ### +### GPT-3.5 / GPT-4 ### +# gpt-3.5 gpt_35_turbo = Model( name = 'gpt-3.5-turbo', base_provider = 'openai', best_provider = IterListProvider([ FreeGpt, You, - ChatgptNext, Koala, OpenaiChat, - Aichatos, - Cnote, - Feedough, + ChatgptFree, + FreeChatgpt, + DDG, + AI365VIP, + Pizzagpt, ]) ) +gpt_35_turbo_16k = Model( + name = 'gpt-3.5-turbo-16k', + base_provider = 'openai', + best_provider = gpt_35_long.best_provider +) + +gpt_35_turbo_16k_0613 = Model( + name = 'gpt-3.5-turbo-16k-0613', + base_provider = 'openai', + best_provider = gpt_35_long.best_provider +) + +gpt_35_turbo_0613 = Model( + name = 'gpt-3.5-turbo-0613', + base_provider = 'openai', + best_provider = gpt_35_turbo.best_provider +) + +# gpt-4 gpt_4 = Model( name = 'gpt-4', base_provider = 'openai', @@ -97,12 +137,22 @@ gpt_4 = Model( ]) ) -gpt_4o = Model( - name = 'gpt-4o', +gpt_4_0613 = Model( + name = 'gpt-4-0613', base_provider = 'openai', - best_provider = IterListProvider([ - You, Liaobots - ]) + best_provider = gpt_4.best_provider +) + +gpt_4_32k = Model( + name = 'gpt-4-32k', + base_provider = 'openai', + best_provider = gpt_4.best_provider +) + +gpt_4_32k_0613 = Model( + name = 'gpt-4-32k-0613', + base_provider = 'openai', + best_provider = gpt_4.best_provider ) gpt_4_turbo = Model( @@ -111,18 +161,36 @@ gpt_4_turbo = Model( best_provider = Bing ) +gpt_4o = Model( + name = 'gpt-4o', + base_provider = 'openai', + best_provider = IterListProvider([ + You, Liaobots, Chatgpt4o, AI365VIP + ]) +) + + +### GigaChat ### gigachat = Model( name = 'GigaChat:latest', base_provider = 'gigachat', best_provider = GigaChat ) + +### Meta ### meta = Model( name = "meta", base_provider = "meta", best_provider = MetaAI ) +llama_2_70b_chat = Model( + name = "meta/llama-2-70b-chat", + base_provider = "meta", + best_provider = IterListProvider([ReplicateHome]) +) + llama3_8b_instruct = Model( name = "meta-llama/Meta-Llama-3-8B-Instruct", base_provider = "meta", @@ -132,7 +200,7 @@ llama3_8b_instruct = Model( llama3_70b_instruct = Model( name = "meta-llama/Meta-Llama-3-70B-Instruct", base_provider = "meta", - best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate]) + best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate, HuggingChat, DDG]) ) codellama_34b_instruct = Model( @@ -144,35 +212,77 @@ codellama_34b_instruct = Model( codellama_70b_instruct = Model( name = "codellama/CodeLlama-70b-Instruct-hf", base_provider = "meta", - best_provider = IterListProvider([DeepInfra, PerplexityLabs]) + best_provider = IterListProvider([DeepInfra]) ) -# Mistral + +### Mistral ### mixtral_8x7b = Model( name = "mistralai/Mixtral-8x7B-Instruct-v0.1", base_provider = "huggingface", - best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs]) -) - -mistral_7b = Model( - name = "mistralai/Mistral-7B-Instruct-v0.1", - base_provider = "huggingface", - best_provider = IterListProvider([HuggingChat, HuggingFace, PerplexityLabs]) + best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs, HuggingChat, DDG]) ) mistral_7b_v02 = Model( name = "mistralai/Mistral-7B-Instruct-v0.2", base_provider = "huggingface", - best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs]) + best_provider = IterListProvider([DeepInfra, HuggingFace, HuggingChat, ReplicateHome]) +) + + +### NousResearch ### +Nous_Hermes_2_Mixtral_8x7B_DPO = Model( + name = "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO", + base_provider = "NousResearch", + best_provider = IterListProvider([HuggingFace, HuggingChat]) +) + + +### 01-ai ### +Yi_1_5_34B_Chat = Model( + name = "01-ai/Yi-1.5-34B-Chat", + base_provider = "01-ai", + best_provider = IterListProvider([HuggingFace, HuggingChat]) +) + + +### Microsoft ### +Phi_3_mini_4k_instruct = Model( + name = "microsoft/Phi-3-mini-4k-instruct", + base_provider = "Microsoft", + best_provider = IterListProvider([HuggingFace, HuggingChat]) ) -# Bard + +### Google ### +# gemini gemini = Model( name = 'gemini', - base_provider = 'google', + base_provider = 'Google', best_provider = Gemini ) +gemini_pro = Model( + name = 'gemini-pro', + base_provider = 'Google', + best_provider = IterListProvider([GeminiPro, You, GeminiProChat]) +) + +# gemma +gemma_2_9b_it = Model( + name = 'gemma-2-9b-it', + base_provider = 'Google', + best_provider = IterListProvider([PerplexityLabs]) +) + +gemma_2_27b_it = Model( + name = 'gemma-2-27b-it', + base_provider = 'Google', + best_provider = IterListProvider([PerplexityLabs]) +) + + +### Anthropic ### claude_v2 = Model( name = 'claude-v2', base_provider = 'anthropic', @@ -194,79 +304,76 @@ claude_3_sonnet = Model( claude_3_haiku = Model( name = 'claude-3-haiku', base_provider = 'anthropic', - best_provider = None + best_provider = IterListProvider([DDG, AI365VIP]) ) -gpt_35_turbo_16k = Model( - name = 'gpt-3.5-turbo-16k', - base_provider = 'openai', - best_provider = gpt_35_long.best_provider -) -gpt_35_turbo_16k_0613 = Model( - name = 'gpt-3.5-turbo-16k-0613', - base_provider = 'openai', - best_provider = gpt_35_long.best_provider +### Reka AI ### +reka_core = Model( + name = 'reka-core', + base_provider = 'Reka AI', + best_provider = Reka ) -gpt_35_turbo_0613 = Model( - name = 'gpt-3.5-turbo-0613', - base_provider = 'openai', - best_provider = gpt_35_turbo.best_provider -) -gpt_4_0613 = Model( - name = 'gpt-4-0613', - base_provider = 'openai', - best_provider = gpt_4.best_provider +### NVIDIA ### +nemotron_4_340b_instruct = Model( + name = 'nemotron-4-340b-instruct', + base_provider = 'NVIDIA', + best_provider = IterListProvider([PerplexityLabs]) ) -gpt_4_32k = Model( - name = 'gpt-4-32k', - base_provider = 'openai', - best_provider = gpt_4.best_provider + +### Blackbox ### +blackbox = Model( + name = 'blackbox', + base_provider = 'Blackbox', + best_provider = Blackbox ) -gpt_4_32k_0613 = Model( - name = 'gpt-4-32k-0613', - base_provider = 'openai', - best_provider = gpt_4.best_provider + +### Databricks ### +dbrx_instruct = Model( + name = 'databricks/dbrx-instruct', + base_provider = 'Databricks', + best_provider = IterListProvider([DeepInfra]) ) -gemini_pro = Model( - name = 'gemini-pro', - base_provider = 'google', - best_provider = IterListProvider([GeminiPro, You]) + +### CohereForAI ### +command_r_plus = Model( + name = 'CohereForAI/c4ai-command-r-plus', + base_provider = 'CohereForAI', + best_provider = IterListProvider([HuggingChat]) ) + +### Other ### pi = Model( name = 'pi', base_provider = 'inflection', best_provider = Pi ) -dbrx_instruct = Model( - name = 'databricks/dbrx-instruct', - base_provider = 'mistral', - best_provider = IterListProvider([DeepInfra, PerplexityLabs]) -) -command_r_plus = Model( - name = 'CohereForAI/c4ai-command-r-plus', - base_provider = 'mistral', - best_provider = IterListProvider([HuggingChat]) -) +############# +### Image ### +############# -blackbox = Model( - name = 'blackbox', - base_provider = 'blackbox', - best_provider = Blackbox +### Stability AI ### +sdxl = Model( + name = 'stability-ai/sdxl', + base_provider = 'Stability AI', + best_provider = IterListProvider([ReplicateHome, DeepInfraImage]) + ) -reka_core = Model( - name = 'reka-core', - base_provider = 'Reka AI', - best_provider = Reka +### AI Forever ### +kandinsky_2_2 = Model( + name = 'ai-forever/kandinsky-2.2', + base_provider = 'AI Forever', + best_provider = IterListProvider([ReplicateHome]) + ) class ModelUtils: @@ -277,6 +384,13 @@ class ModelUtils: convert (dict[str, Model]): Dictionary mapping model string identifiers to Model instances. """ convert: dict[str, Model] = { + + ############ + ### Text ### + ############ + + ### OpenAI ### + ### GPT-3.5 / GPT-4 ### # gpt-3.5 'gpt-3.5-turbo' : gpt_35_turbo, 'gpt-3.5-turbo-0613' : gpt_35_turbo_0613, @@ -291,8 +405,12 @@ class ModelUtils: 'gpt-4-32k' : gpt_4_32k, 'gpt-4-32k-0613' : gpt_4_32k_0613, 'gpt-4-turbo' : gpt_4_turbo, - + + + ### Meta ### "meta-ai": meta, + + 'llama-2-70b-chat': llama_2_70b_chat, 'llama3-8b': llama3_8b_instruct, # alias 'llama3-70b': llama3_70b_instruct, # alias 'llama3-8b-instruct' : llama3_8b_instruct, @@ -301,30 +419,79 @@ class ModelUtils: 'codellama-34b-instruct': codellama_34b_instruct, 'codellama-70b-instruct': codellama_70b_instruct, - # Mistral Opensource + + ### Mistral (Opensource) ### 'mixtral-8x7b': mixtral_8x7b, - 'mistral-7b': mistral_7b, 'mistral-7b-v02': mistral_7b_v02, + + + ### NousResearch ### + 'Nous-Hermes-2-Mixtral-8x7B-DPO': Nous_Hermes_2_Mixtral_8x7B_DPO, - # google gemini + + ### 01-ai ### + 'Yi-1.5-34B-Chat': Yi_1_5_34B_Chat, + + + ### Microsoft ### + 'Phi-3-mini-4k-instruct': Phi_3_mini_4k_instruct, + + + ### Google ### + # gemini 'gemini': gemini, 'gemini-pro': gemini_pro, + + # gemma + 'gemma-2-9b-it': gemma_2_9b_it, + 'gemma-2-27b-it': gemma_2_27b_it, + - # anthropic + ### Anthropic ### 'claude-v2': claude_v2, 'claude-3-opus': claude_3_opus, 'claude-3-sonnet': claude_3_sonnet, 'claude-3-haiku': claude_3_haiku, - # reka core + + ### Reka AI ### 'reka': reka_core, - # other - 'blackbox': blackbox, + + ### NVIDIA ### + 'nemotron-4-340b-instruct': nemotron_4_340b_instruct, + + + ### Blackbox ### + 'blackbox': blackbox, + + + ### CohereForAI ### 'command-r+': command_r_plus, + + + ### Databricks ### 'dbrx-instruct': dbrx_instruct, + + + ### GigaChat ### 'gigachat': gigachat, - 'pi': pi + + + # Other + 'pi': pi, + + + + ############# + ### Image ### + ############# + + ### Stability AI ### + 'sdxl': sdxl, + + ### AI Forever ### + 'kandinsky-2.2': kandinsky_2_2, } _all_models = list(ModelUtils.convert.keys()) |