From a8ab2ad771152e9f53fcb730caac84e5430523ff Mon Sep 17 00:00:00 2001 From: kqlio67 <166700875+kqlio67@users.noreply.github.com> Date: Mon, 8 Jul 2024 20:49:38 +0000 Subject: Add files via upload --- g4f/Provider/AI365VIP.py | 67 +++++++++++++++++ g4f/Provider/Blackbox.py | 37 +++++++--- g4f/Provider/Chatgpt4o.py | 83 +++++++++++++++++++++ g4f/Provider/ChatgptFree.py | 2 +- g4f/Provider/DDG.py | 117 +++++++++++++++++++++++++++++ g4f/Provider/Feedough.py | 78 ++++++++++++++++++++ g4f/Provider/FreeChatgpt.py | 97 +++++++++++++----------- g4f/Provider/FreeGpt.py | 66 ++++++++++------- g4f/Provider/GeminiProChat.py | 9 ++- g4f/Provider/HuggingChat.py | 6 +- g4f/Provider/HuggingFace.py | 12 ++- g4f/Provider/Koala.py | 36 ++++++--- g4f/Provider/Liaobots.py | 168 +++++++++++++++++++++++++++++++++--------- g4f/Provider/MetaAI.py | 7 +- g4f/Provider/ReplicateHome.py | 136 ++++++++++++++++++++++++++++++++++ g4f/Provider/__init__.py | 16 ++-- 16 files changed, 785 insertions(+), 152 deletions(-) create mode 100644 g4f/Provider/AI365VIP.py create mode 100644 g4f/Provider/Chatgpt4o.py create mode 100644 g4f/Provider/DDG.py create mode 100644 g4f/Provider/Feedough.py create mode 100644 g4f/Provider/ReplicateHome.py 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 new file mode 100644 index 00000000..d35e30ee --- /dev/null +++ b/g4f/Provider/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 = True + 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/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}[INST] {question} [/INST]" \ No newline at end of file + return f"{history}[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/ReplicateHome.py b/g4f/Provider/ReplicateHome.py new file mode 100644 index 00000000..48336831 --- /dev/null +++ b/g4f/Provider/ReplicateHome.py @@ -0,0 +1,136 @@ +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 ..errors import ResponseError +from ..image import ImageResponse + +class ReplicateHome(AsyncGeneratorProvider, ProviderModelMixin): + url = "https://replicate.com" + parent = "Replicate" + working = True + default_model = 'stability-ai/sdxl' + models = [ + # image + 'stability-ai/sdxl', + 'ai-forever/kandinsky-2.2', + + # text + 'meta/llama-2-70b-chat', + 'mistralai/mistral-7b-instruct-v0.2' + ] + + 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: Any + ) -> Generator[Union[str, ImageResponse], None, None]: + yield await cls.create_async(messages[-1]["content"], model, **kwargs) + + @classmethod + async def create_async( + cls, + prompt: str, + model: str, + api_key: Optional[str] = None, + proxy: Optional[str] = None, + timeout: int = 180, + version: Optional[str] = None, + extra_data: Dict[str, Any] = {}, + **kwargs: Any + ) -> Union[str, ImageResponse]: + headers = { + 'Accept-Encoding': 'gzip, deflate, br', + 'Accept-Language': 'en-US', + 'Connection': 'keep-alive', + 'Origin': cls.url, + 'Referer': f'{cls.url}/', + 'Sec-Fetch-Dest': 'empty', + 'Sec-Fetch-Mode': 'cors', + 'Sec-Fetch-Site': 'same-site', + 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36', + 'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"', + 'sec-ch-ua-mobile': '?0', + 'sec-ch-ua-platform': '"macOS"', + } + + if version is None: + 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, + timeout=timeout + ) as session: + data = { + "input": { + "prompt": prompt, + **extra_data + }, + "version": version + } + if api_key is None: + data["model"] = cls.get_model(model) + url = "https://homepage.replicate.com/api/prediction" + else: + url = "https://api.replicate.com/v1/predictions" + async with session.post(url, json=data) as response: + await raise_for_status(response) + 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']}" + else: + url = f"https://api.replicate.com/v1/predictions/{result['id']}" + async with session.get(url) as response: + await raise_for_status(response) + result = await response.json() + if "status" not in result: + raise ResponseError(f"Invalid response: {result}") + if result["status"] == "succeeded": + 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 -- cgit v1.2.3