diff options
Diffstat (limited to '')
-rw-r--r-- | g4f/Provider/Bing.py | 3 | ||||
-rw-r--r-- | g4f/Provider/BingCreateImages.py | 2 | ||||
-rw-r--r-- | g4f/Provider/DeepInfra.py | 33 | ||||
-rw-r--r-- | g4f/Provider/DeepInfraImage.py | 3 | ||||
-rw-r--r-- | g4f/Provider/MetaAI.py | 7 | ||||
-rw-r--r-- | g4f/Provider/MetaAIAccount.py | 2 | ||||
-rw-r--r-- | g4f/Provider/Replicate.py | 84 | ||||
-rw-r--r-- | g4f/Provider/ReplicateImage.py | 2 | ||||
-rw-r--r-- | g4f/Provider/You.py | 37 | ||||
-rw-r--r-- | g4f/Provider/__init__.py | 2 | ||||
-rw-r--r-- | g4f/Provider/bing/conversation.py | 2 | ||||
-rw-r--r-- | g4f/Provider/needs_auth/Gemini.py | 88 | ||||
-rw-r--r-- | g4f/Provider/needs_auth/OpenaiAccount.py | 4 | ||||
-rw-r--r-- | g4f/Provider/needs_auth/OpenaiChat.py | 46 | ||||
-rw-r--r-- | g4f/Provider/openai/crypt.py | 2 | ||||
-rw-r--r-- | g4f/Provider/openai/har_file.py | 20 | ||||
-rw-r--r-- | g4f/Provider/unfinished/Replicate.py | 78 | ||||
-rw-r--r-- | g4f/Provider/you/har_file.py | 67 |
18 files changed, 270 insertions, 212 deletions
diff --git a/g4f/Provider/Bing.py b/g4f/Provider/Bing.py index 1fe94359..bfd74f8c 100644 --- a/g4f/Provider/Bing.py +++ b/g4f/Provider/Bing.py @@ -38,8 +38,9 @@ class Bing(AsyncGeneratorProvider, ProviderModelMixin): supports_message_history = True supports_gpt_4 = True default_model = "Balanced" + default_vision_model = "gpt-4-vision" models = [getattr(Tones, key) for key in Tones.__dict__ if not key.startswith("__")] - + @classmethod def create_async_generator( cls, diff --git a/g4f/Provider/BingCreateImages.py b/g4f/Provider/BingCreateImages.py index f29126b6..69bf1e92 100644 --- a/g4f/Provider/BingCreateImages.py +++ b/g4f/Provider/BingCreateImages.py @@ -13,9 +13,11 @@ from .bing.create_images import create_images, create_session, get_cookies_from_ class BingCreateImages(AsyncGeneratorProvider, ProviderModelMixin): label = "Microsoft Designer" + parent = "Bing" url = "https://www.bing.com/images/create" working = True needs_auth = True + image_models = ["dall-e"] def __init__(self, cookies: Cookies = None, proxy: str = None) -> None: self.cookies: Cookies = cookies diff --git a/g4f/Provider/DeepInfra.py b/g4f/Provider/DeepInfra.py index 971424b7..35ff84a1 100644 --- a/g4f/Provider/DeepInfra.py +++ b/g4f/Provider/DeepInfra.py @@ -1,17 +1,22 @@ from __future__ import annotations import requests -from ..typing import AsyncResult, Messages +from ..typing import AsyncResult, Messages, ImageType +from ..image import to_data_uri from .needs_auth.Openai import Openai class DeepInfra(Openai): label = "DeepInfra" url = "https://deepinfra.com" working = True - needs_auth = False + has_auth = True supports_stream = True supports_message_history = True - default_model = 'HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1' + default_model = "meta-llama/Meta-Llama-3-70b-instruct" + default_vision_model = "llava-hf/llava-1.5-7b-hf" + model_aliases = { + 'mixtral-8x22b': 'HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1' + } @classmethod def get_models(cls): @@ -27,19 +32,12 @@ class DeepInfra(Openai): model: str, messages: Messages, stream: bool, + image: ImageType = None, api_base: str = "https://api.deepinfra.com/v1/openai", temperature: float = 0.7, max_tokens: int = 1028, **kwargs ) -> AsyncResult: - - if not '/' in model: - models = { - 'mixtral-8x22b': 'HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1', - 'dbrx-instruct': 'databricks/dbrx-instruct', - } - model = models.get(model, model) - headers = { 'Accept-Encoding': 'gzip, deflate, br', 'Accept-Language': 'en-US', @@ -55,6 +53,19 @@ class DeepInfra(Openai): 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': '"macOS"', } + if image is not None: + if not model: + model = cls.default_vision_model + messages[-1]["content"] = [ + { + "type": "image_url", + "image_url": {"url": to_data_uri(image)} + }, + { + "type": "text", + "text": messages[-1]["content"] + } + ] return super().create_async_generator( model, messages, stream=stream, diff --git a/g4f/Provider/DeepInfraImage.py b/g4f/Provider/DeepInfraImage.py index ce09533b..46a5c2e2 100644 --- a/g4f/Provider/DeepInfraImage.py +++ b/g4f/Provider/DeepInfraImage.py @@ -9,8 +9,10 @@ from ..image import ImageResponse class DeepInfraImage(AsyncGeneratorProvider, ProviderModelMixin): url = "https://deepinfra.com" + parent = "DeepInfra" working = True default_model = 'stability-ai/sdxl' + image_models = [default_model] @classmethod def get_models(cls): @@ -18,6 +20,7 @@ class DeepInfraImage(AsyncGeneratorProvider, ProviderModelMixin): url = 'https://api.deepinfra.com/models/featured' models = requests.get(url).json() cls.models = [model['model_name'] for model in models if model["reported_type"] == "text-to-image"] + cls.image_models = cls.models return cls.models @classmethod diff --git a/g4f/Provider/MetaAI.py b/g4f/Provider/MetaAI.py index fb7790f9..caed7778 100644 --- a/g4f/Provider/MetaAI.py +++ b/g4f/Provider/MetaAI.py @@ -13,7 +13,7 @@ from ..requests import raise_for_status, DEFAULT_HEADERS from ..image import ImageResponse, ImagePreview from ..errors import ResponseError from .base_provider import AsyncGeneratorProvider -from .helper import format_prompt, get_connector +from .helper import format_prompt, get_connector, format_cookies class Sources(): def __init__(self, link_list: List[Dict[str, str]]) -> None: @@ -48,7 +48,6 @@ class MetaAI(AsyncGeneratorProvider): async def update_access_token(self, birthday: str = "1999-01-01"): url = "https://www.meta.ai/api/graphql/" - payload = { "lsd": self.lsd, "fb_api_caller_class": "RelayModern", @@ -90,7 +89,7 @@ class MetaAI(AsyncGeneratorProvider): headers = {} headers = { 'content-type': 'application/x-www-form-urlencoded', - 'cookie': "; ".join([f"{k}={v}" for k, v in cookies.items()]), + 'cookie': format_cookies(self.cookies), 'origin': 'https://www.meta.ai', 'referer': 'https://www.meta.ai/', 'x-asbd-id': '129477', @@ -194,7 +193,7 @@ class MetaAI(AsyncGeneratorProvider): **headers } async with self.session.post(url, headers=headers, cookies=self.cookies, data=payload) as response: - await raise_for_status(response) + await raise_for_status(response, "Fetch sources failed") text = await response.text() if "<h1>Something Went Wrong</h1>" in text: raise ResponseError("Response: Something Went Wrong") diff --git a/g4f/Provider/MetaAIAccount.py b/g4f/Provider/MetaAIAccount.py index 8be2318e..369b3f2f 100644 --- a/g4f/Provider/MetaAIAccount.py +++ b/g4f/Provider/MetaAIAccount.py @@ -6,6 +6,8 @@ from .MetaAI import MetaAI class MetaAIAccount(MetaAI): needs_auth = True + parent = "MetaAI" + image_models = ["meta"] @classmethod async def create_async_generator( diff --git a/g4f/Provider/Replicate.py b/g4f/Provider/Replicate.py new file mode 100644 index 00000000..593fd04d --- /dev/null +++ b/g4f/Provider/Replicate.py @@ -0,0 +1,84 @@ +from __future__ import annotations + +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from .helper import format_prompt, filter_none +from ..typing import AsyncResult, Messages +from ..requests import raise_for_status +from ..requests.aiohttp import StreamSession +from ..errors import ResponseError, MissingAuthError + +class Replicate(AsyncGeneratorProvider, ProviderModelMixin): + url = "https://replicate.com" + working = True + default_model = "meta/meta-llama-3-70b-instruct" + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + api_key: str = None, + proxy: str = None, + timeout: int = 180, + system_prompt: str = None, + max_new_tokens: int = None, + temperature: float = None, + top_p: float = None, + top_k: float = None, + stop: list = None, + extra_data: dict = {}, + headers: dict = { + "accept": "application/json", + }, + **kwargs + ) -> AsyncResult: + model = cls.get_model(model) + if cls.needs_auth and api_key is None: + raise MissingAuthError("api_key is missing") + if api_key is not None: + headers["Authorization"] = f"Bearer {api_key}" + api_base = "https://api.replicate.com/v1/models/" + else: + api_base = "https://replicate.com/api/models/" + async with StreamSession( + proxy=proxy, + headers=headers, + timeout=timeout + ) as session: + data = { + "stream": True, + "input": { + "prompt": format_prompt(messages), + **filter_none( + system_prompt=system_prompt, + max_new_tokens=max_new_tokens, + temperature=temperature, + top_p=top_p, + top_k=top_k, + stop_sequences=",".join(stop) if stop else None + ), + **extra_data + }, + } + url = f"{api_base.rstrip('/')}/{model}/predictions" + async with session.post(url, json=data) as response: + message = "Model not found" if response.status == 404 else None + await raise_for_status(response, message) + result = await response.json() + if "id" not in result: + raise ResponseError(f"Invalid response: {result}") + async with session.get(result["urls"]["stream"], headers={"Accept": "text/event-stream"}) as response: + await raise_for_status(response) + event = None + async for line in response.iter_lines(): + if line.startswith(b"event: "): + event = line[7:] + if event == b"done": + break + elif event == b"output": + if line.startswith(b"data: "): + new_text = line[6:].decode() + if new_text: + yield new_text + else: + yield "\n"
\ No newline at end of file diff --git a/g4f/Provider/ReplicateImage.py b/g4f/Provider/ReplicateImage.py index 3e423c1a..cc3943d7 100644 --- a/g4f/Provider/ReplicateImage.py +++ b/g4f/Provider/ReplicateImage.py @@ -11,12 +11,14 @@ from ..errors import ResponseError class ReplicateImage(AsyncGeneratorProvider, ProviderModelMixin): url = "https://replicate.com" + parent = "Replicate" working = True default_model = 'stability-ai/sdxl' default_versions = [ "39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b", "2b017d9b67edd2ee1401238df49d75da53c523f36e363881e057f5dc3ed3c5b2" ] + image_models = [default_model] @classmethod async def create_async_generator( diff --git a/g4f/Provider/You.py b/g4f/Provider/You.py index e90365ce..a9e7834c 100644 --- a/g4f/Provider/You.py +++ b/g4f/Provider/You.py @@ -8,19 +8,22 @@ import uuid from ..typing import AsyncResult, Messages, ImageType, Cookies from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from .helper import format_prompt -from ..image import ImageResponse, to_bytes, is_accepted_format +from ..image import ImageResponse, ImagePreview, to_bytes, is_accepted_format from ..requests import StreamSession, FormData, raise_for_status from .you.har_file import get_telemetry_ids from .. import debug class You(AsyncGeneratorProvider, ProviderModelMixin): + label = "You.com" url = "https://you.com" working = True supports_gpt_35_turbo = True supports_gpt_4 = True default_model = "gpt-3.5-turbo" + default_vision_model = "agent" + image_models = ["dall-e"] models = [ - "gpt-3.5-turbo", + default_model, "gpt-4", "gpt-4-turbo", "claude-instant", @@ -29,7 +32,8 @@ class You(AsyncGeneratorProvider, ProviderModelMixin): "claude-3-sonnet", "gemini-pro", "zephyr", - "dall-e", + default_vision_model, + *image_models ] model_aliases = { "claude-v2": "claude-2" @@ -51,7 +55,7 @@ class You(AsyncGeneratorProvider, ProviderModelMixin): chat_mode: str = "default", **kwargs, ) -> AsyncResult: - if image is not None: + if image is not None or model == cls.default_vision_model: chat_mode = "agent" elif not model or model == cls.default_model: ... @@ -62,13 +66,18 @@ class You(AsyncGeneratorProvider, ProviderModelMixin): chat_mode = "custom" model = cls.get_model(model) async with StreamSession( - proxies={"all": proxy}, + proxy=proxy, impersonate="chrome", timeout=(30, timeout) ) as session: cookies = await cls.get_cookies(session) if chat_mode != "default" else None - - upload = json.dumps([await cls.upload_file(session, cookies, to_bytes(image), image_name)]) if image else "" + upload = "" + if image is not None: + upload_file = await cls.upload_file( + session, cookies, + to_bytes(image), image_name + ) + upload = json.dumps([upload_file]) headers = { "Accept": "text/event-stream", "Referer": f"{cls.url}/search?fromSearchBar=true&tbm=youchat", @@ -102,11 +111,17 @@ class You(AsyncGeneratorProvider, ProviderModelMixin): if event == "youChatToken" and event in data: yield data[event] elif event == "youChatUpdate" and "t" in data and data["t"] is not None: - match = re.search(r"!\[fig\]\((.+?)\)", data["t"]) - if match: - yield ImageResponse(match.group(1), messages[-1]["content"]) + if chat_mode == "create": + match = re.search(r"!\[(.+?)\]\((.+?)\)", data["t"]) + if match: + if match.group(1) == "fig": + yield ImagePreview(match.group(2), messages[-1]["content"]) + else: + yield ImageResponse(match.group(2), match.group(1)) + else: + yield data["t"] else: - yield data["t"] + yield data["t"] @classmethod async def upload_file(cls, client: StreamSession, cookies: Cookies, file: bytes, filename: str = None) -> dict: diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py index 27c14672..d2d9bfda 100644 --- a/g4f/Provider/__init__.py +++ b/g4f/Provider/__init__.py @@ -9,7 +9,6 @@ from .deprecated import * from .not_working import * from .selenium import * from .needs_auth import * -from .unfinished import * from .Aichatos import Aichatos from .Aura import Aura @@ -46,6 +45,7 @@ from .MetaAI import MetaAI from .MetaAIAccount import MetaAIAccount from .PerplexityLabs import PerplexityLabs from .Pi import Pi +from .Replicate import Replicate from .ReplicateImage import ReplicateImage from .Vercel import Vercel from .WhiteRabbitNeo import WhiteRabbitNeo diff --git a/g4f/Provider/bing/conversation.py b/g4f/Provider/bing/conversation.py index 4cfeef8e..a4195fa4 100644 --- a/g4f/Provider/bing/conversation.py +++ b/g4f/Provider/bing/conversation.py @@ -41,6 +41,8 @@ async def create_conversation(session: StreamSession, headers: dict, tone: str) raise RateLimitError("Response 404: Do less requests and reuse conversations") await raise_for_status(response, "Failed to create conversation") data = await response.json() + if not data: + raise RuntimeError('Empty response: Failed to create conversation') conversationId = data.get('conversationId') clientId = data.get('clientId') conversationSignature = response.headers.get('X-Sydney-Encryptedconversationsignature') diff --git a/g4f/Provider/needs_auth/Gemini.py b/g4f/Provider/needs_auth/Gemini.py index ebf5f413..209c2e91 100644 --- a/g4f/Provider/needs_auth/Gemini.py +++ b/g4f/Provider/needs_auth/Gemini.py @@ -16,6 +16,7 @@ try: except ImportError: pass +from ... import debug from ...typing import Messages, Cookies, ImageType, AsyncResult from ..base_provider import AsyncGeneratorProvider from ..helper import format_prompt, get_cookies @@ -53,6 +54,56 @@ class Gemini(AsyncGeneratorProvider): url = "https://gemini.google.com" needs_auth = True working = True + image_models = ["gemini"] + default_vision_model = "gemini" + _cookies: Cookies = None + + @classmethod + async def nodriver_login(cls) -> Cookies: + try: + import nodriver as uc + except ImportError: + return + try: + from platformdirs import user_config_dir + user_data_dir = user_config_dir("g4f-nodriver") + except: + user_data_dir = None + if debug.logging: + print(f"Open nodriver with user_dir: {user_data_dir}") + browser = await uc.start(user_data_dir=user_data_dir) + page = await browser.get(f"{cls.url}/app") + await page.select("div.ql-editor.textarea", 240) + cookies = {} + for c in await page.browser.cookies.get_all(): + if c.domain.endswith(".google.com"): + cookies[c.name] = c.value + await page.close() + return cookies + + @classmethod + async def webdriver_login(cls, proxy: str): + driver = None + try: + driver = get_browser(proxy=proxy) + try: + driver.get(f"{cls.url}/app") + WebDriverWait(driver, 5).until( + EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")) + ) + except: + login_url = os.environ.get("G4F_LOGIN_URL") + if login_url: + yield f"Please login: [Google Gemini]({login_url})\n\n" + WebDriverWait(driver, 240).until( + EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")) + ) + cls._cookies = get_driver_cookies(driver) + except MissingRequirementsError: + pass + finally: + if driver: + driver.close() @classmethod async def create_async_generator( @@ -72,47 +123,30 @@ class Gemini(AsyncGeneratorProvider): if cookies is None: cookies = {} cookies["__Secure-1PSID"] = api_key - cookies = cookies if cookies else get_cookies(".google.com", False, True) + cls._cookies = cookies or cls._cookies or get_cookies(".google.com", False, True) base_connector = get_connector(connector, proxy) async with ClientSession( headers=REQUEST_HEADERS, connector=base_connector ) as session: - snlm0e = await cls.fetch_snlm0e(session, cookies) if cookies else None + snlm0e = await cls.fetch_snlm0e(session, cls._cookies) if cls._cookies else None if not snlm0e: - driver = None - try: - driver = get_browser(proxy=proxy) - try: - driver.get(f"{cls.url}/app") - WebDriverWait(driver, 5).until( - EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")) - ) - except: - login_url = os.environ.get("G4F_LOGIN_URL") - if login_url: - yield f"Please login: [Google Gemini]({login_url})\n\n" - WebDriverWait(driver, 240).until( - EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")) - ) - cookies = get_driver_cookies(driver) - except MissingRequirementsError: - pass - finally: - if driver: - driver.close() + cls._cookies = await cls.nodriver_login(); + if cls._cookies is None: + async for chunk in cls.webdriver_login(proxy): + yield chunk if not snlm0e: - if "__Secure-1PSID" not in cookies: + if "__Secure-1PSID" not in cls._cookies: raise MissingAuthError('Missing "__Secure-1PSID" cookie') - snlm0e = await cls.fetch_snlm0e(session, cookies) + snlm0e = await cls.fetch_snlm0e(session, cls._cookies) if not snlm0e: - raise RuntimeError("Invalid auth. SNlM0e not found") + raise RuntimeError("Invalid cookies. SNlM0e not found") image_url = await cls.upload_image(base_connector, to_bytes(image), image_name) if image else None async with ClientSession( - cookies=cookies, + cookies=cls._cookies, headers=REQUEST_HEADERS, connector=base_connector, ) as client: diff --git a/g4f/Provider/needs_auth/OpenaiAccount.py b/g4f/Provider/needs_auth/OpenaiAccount.py index 7be60c86..16bfff66 100644 --- a/g4f/Provider/needs_auth/OpenaiAccount.py +++ b/g4f/Provider/needs_auth/OpenaiAccount.py @@ -3,4 +3,6 @@ from __future__ import annotations from .OpenaiChat import OpenaiChat class OpenaiAccount(OpenaiChat): - needs_auth = True
\ No newline at end of file + needs_auth = True + parent = "OpenaiChat" + image_models = ["dall-e"]
\ No newline at end of file diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py index 36b8bd3c..515230f0 100644 --- a/g4f/Provider/needs_auth/OpenaiChat.py +++ b/g4f/Provider/needs_auth/OpenaiChat.py @@ -29,6 +29,7 @@ from ...requests.aiohttp import StreamSession from ...image import to_image, to_bytes, ImageResponse, ImageRequest from ...errors import MissingAuthError, ResponseError from ...providers.conversation import BaseConversation +from ..helper import format_cookies from ..openai.har_file import getArkoseAndAccessToken, NoValidHarFileError from ... import debug @@ -43,8 +44,14 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin): supports_message_history = True supports_system_message = True default_model = None + default_vision_model = "gpt-4-vision" models = ["gpt-3.5-turbo", "gpt-4", "gpt-4-gizmo"] - model_aliases = {"text-davinci-002-render-sha": "gpt-3.5-turbo", "": "gpt-3.5-turbo", "gpt-4-turbo-preview": "gpt-4"} + model_aliases = { + "text-davinci-002-render-sha": "gpt-3.5-turbo", + "": "gpt-3.5-turbo", + "gpt-4-turbo-preview": "gpt-4", + "dall-e": "gpt-4", + } _api_key: str = None _headers: dict = None _cookies: Cookies = None @@ -334,9 +341,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin): Raises: RuntimeError: If an error occurs during processing. """ - async with StreamSession( - proxies={"all": proxy}, + proxy=proxy, impersonate="chrome", timeout=timeout ) as session: @@ -358,26 +364,27 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin): api_key = cls._api_key = None cls._create_request_args() if debug.logging: - print("OpenaiChat: Load default_model failed") + print("OpenaiChat: Load default model failed") print(f"{e.__class__.__name__}: {e}") arkose_token = None if cls.default_model is None: + error = None try: - arkose_token, api_key, cookies = await getArkoseAndAccessToken(proxy) - cls._create_request_args(cookies) + arkose_token, api_key, cookies, headers = await getArkoseAndAccessToken(proxy) + cls._create_request_args(cookies, headers) cls._set_api_key(api_key) except NoValidHarFileError as e: - ... + error = e if cls._api_key is None: await cls.nodriver_access_token() if cls._api_key is None and cls.needs_auth: - raise e + raise error cls.default_model = cls.get_model(await cls.get_default_model(session, cls._headers)) async with session.post( f"{cls.url}/backend-anon/sentinel/chat-requirements" - if not cls._api_key else + if cls._api_key is None else f"{cls.url}/backend-api/sentinel/chat-requirements", json={"conversation_mode_kind": "primary_assistant"}, headers=cls._headers @@ -393,8 +400,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin): print(f'Arkose: {need_arkose} Turnstile: {data["turnstile"]["required"]}') if need_arkose and arkose_token is None: - arkose_token, api_key, cookies = await getArkoseAndAccessToken(proxy) - cls._create_request_args(cookies) + arkose_token, api_key, cookies, headers = await getArkoseAndAccessToken(proxy) + cls._create_request_args(cookies, headers) cls._set_api_key(api_key) if arkose_token is None: raise MissingAuthError("No arkose token found in .har file") @@ -406,7 +413,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin): print("OpenaiChat: Upload image failed") print(f"{e.__class__.__name__}: {e}") - model = cls.get_model(model).replace("gpt-3.5-turbo", "text-davinci-002-render-sha") + model = cls.get_model(model) + model = "text-davinci-002-render-sha" if model == "gpt-3.5-turbo" else model if conversation is None: conversation = Conversation(conversation_id, str(uuid.uuid4()) if parent_id is None else parent_id) else: @@ -613,7 +621,7 @@ this.fetch = async (url, options) => { cookies[c.name] = c.value user_agent = await page.evaluate("window.navigator.userAgent") await page.close() - cls._create_request_args(cookies, user_agent) + cls._create_request_args(cookies, user_agent=user_agent) cls._set_api_key(api_key) @classmethod @@ -667,16 +675,12 @@ this.fetch = async (url, options) => { "oai-language": "en-US", } - @staticmethod - def _format_cookies(cookies: Cookies): - return "; ".join(f"{k}={v}" for k, v in cookies.items() if k != "access_token") - @classmethod - def _create_request_args(cls, cookies: Cookies = None, user_agent: str = None): - cls._headers = cls.get_default_headers() + def _create_request_args(cls, cookies: Cookies = None, headers: dict = None, user_agent: str = None): + cls._headers = cls.get_default_headers() if headers is None else headers if user_agent is not None: cls._headers["user-agent"] = user_agent - cls._cookies = {} if cookies is None else cookies + cls._cookies = {} if cookies is None else {k: v for k, v in cookies.items() if k != "access_token"} cls._update_cookie_header() @classmethod @@ -693,7 +697,7 @@ this.fetch = async (url, options) => { @classmethod def _update_cookie_header(cls): - cls._headers["cookie"] = cls._format_cookies(cls._cookies) + cls._headers["cookie"] = format_cookies(cls._cookies) class Conversation(BaseConversation): """ diff --git a/g4f/Provider/openai/crypt.py b/g4f/Provider/openai/crypt.py index e7f35190..43156f3d 100644 --- a/g4f/Provider/openai/crypt.py +++ b/g4f/Provider/openai/crypt.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import json import base64 import hashlib diff --git a/g4f/Provider/openai/har_file.py b/g4f/Provider/openai/har_file.py index 52cd8260..da25b637 100644 --- a/g4f/Provider/openai/har_file.py +++ b/g4f/Provider/openai/har_file.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import base64 import json import os @@ -59,17 +61,21 @@ def readHAR(): except KeyError: continue cookies = {c['name']: c['value'] for c in v['request']['cookies']} + headers = get_headers(v) if not accessToken: raise NoValidHarFileError("No accessToken found in .har files") if not chatArks: - return None, accessToken, cookies - return chatArks.pop(), accessToken, cookies + return None, accessToken, cookies, headers + return chatArks.pop(), accessToken, cookies, headers + +def get_headers(entry) -> dict: + return {h['name'].lower(): h['value'] for h in entry['request']['headers'] if h['name'].lower() not in ['content-length', 'cookie'] and not h['name'].startswith(':')} def parseHAREntry(entry) -> arkReq: tmpArk = arkReq( arkURL=entry['request']['url'], arkBx="", - arkHeader={h['name'].lower(): h['value'] for h in entry['request']['headers'] if h['name'].lower() not in ['content-length', 'cookie'] and not h['name'].startswith(':')}, + arkHeader=get_headers(entry), arkBody={p['name']: unquote(p['value']) for p in entry['request']['postData']['params'] if p['name'] not in ['rnd']}, arkCookies={c['name']: c['value'] for c in entry['request']['cookies']}, userAgent="" @@ -123,11 +129,11 @@ def getN() -> str: timestamp = str(int(time.time())) return base64.b64encode(timestamp.encode()).decode() -async def getArkoseAndAccessToken(proxy: str): +async def getArkoseAndAccessToken(proxy: str) -> tuple[str, str, dict, dict]: global chatArk, accessToken, cookies if chatArk is None or accessToken is None: - chatArk, accessToken, cookies = readHAR() + chatArk, accessToken, cookies, headers = readHAR() if chatArk is None: - return None, accessToken, cookies + return None, accessToken, cookies, headers newReq = genArkReq(chatArk) - return await sendRequest(newReq, proxy), accessToken, cookies + return await sendRequest(newReq, proxy), accessToken, cookies, headers diff --git a/g4f/Provider/unfinished/Replicate.py b/g4f/Provider/unfinished/Replicate.py deleted file mode 100644 index aaaf31b3..00000000 --- a/g4f/Provider/unfinished/Replicate.py +++ /dev/null @@ -1,78 +0,0 @@ -from __future__ import annotations - -import asyncio - -from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin -from ..helper import format_prompt, filter_none -from ...typing import AsyncResult, Messages -from ...requests import StreamSession, raise_for_status -from ...image import ImageResponse -from ...errors import ResponseError, MissingAuthError - -class Replicate(AsyncGeneratorProvider, ProviderModelMixin): - url = "https://replicate.com" - working = True - default_model = "mistralai/mixtral-8x7b-instruct-v0.1" - api_base = "https://api.replicate.com/v1/models/" - - @classmethod - async def create_async_generator( - cls, - model: str, - messages: Messages, - api_key: str = None, - proxy: str = None, - timeout: int = 180, - system_prompt: str = None, - max_new_tokens: int = None, - temperature: float = None, - top_p: float = None, - top_k: float = None, - stop: list = None, - extra_data: dict = {}, - headers: dict = {}, - **kwargs - ) -> AsyncResult: - model = cls.get_model(model) - if api_key is None: - raise MissingAuthError("api_key is missing") - headers["Authorization"] = f"Bearer {api_key}" - async with StreamSession( - proxies={"all": proxy}, - headers=headers, - timeout=timeout - ) as session: - data = { - "stream": True, - "input": { - "prompt": format_prompt(messages), - **filter_none( - system_prompt=system_prompt, - max_new_tokens=max_new_tokens, - temperature=temperature, - top_p=top_p, - top_k=top_k, - stop_sequences=",".join(stop) if stop else None - ), - **extra_data - }, - } - url = f"{cls.api_base.rstrip('/')}/{model}/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}") - async with session.get(result["urls"]["stream"], headers={"Accept": "text/event-stream"}) as response: - await raise_for_status(response) - event = None - async for line in response.iter_lines(): - if line.startswith(b"event: "): - event = line[7:] - elif event == b"output": - if line.startswith(b"data: "): - yield line[6:].decode() - elif not line.startswith(b"id: "): - continue#yield "+"+line.decode() - elif event == b"done": - break
\ No newline at end of file diff --git a/g4f/Provider/you/har_file.py b/g4f/Provider/you/har_file.py index 18a7144b..e58e44d6 100644 --- a/g4f/Provider/you/har_file.py +++ b/g4f/Provider/you/har_file.py @@ -4,7 +4,6 @@ import json import os import os.path import random -import requests from ...requests import StreamSession, raise_for_status from ...errors import MissingRequirementsError @@ -21,7 +20,8 @@ class arkReq: self.arkCookies = arkCookies self.userAgent = userAgent -arkPreURL = "https://telemetry.stytch.com/submit" +telemetry_url = "https://telemetry.stytch.com/submit" +public_token = "public-token-live-507a52ad-7e69-496b-aee0-1c9863c7c819" chatArks: list = None def readHAR(): @@ -44,7 +44,7 @@ def readHAR(): # Error: not a HAR file! continue for v in harFile['log']['entries']: - if arkPreURL in v['request']['url']: + if v['request']['url'] == telemetry_url: chatArks.append(parseHAREntry(v)) if not chatArks: raise NoValidHarFileError("No telemetry in .har files found") @@ -62,24 +62,29 @@ def parseHAREntry(entry) -> arkReq: return tmpArk async def sendRequest(tmpArk: arkReq, proxy: str = None): - async with StreamSession(headers=tmpArk.arkHeaders, cookies=tmpArk.arkCookies, proxies={"all": proxy}) as session: + async with StreamSession(headers=tmpArk.arkHeaders, cookies=tmpArk.arkCookies, proxy=proxy) as session: async with session.post(tmpArk.arkURL, data=tmpArk.arkBody) as response: await raise_for_status(response) return await response.text() -async def get_dfp_telemetry_id(proxy: str = None): +async def create_telemetry_id(proxy: str = None): global chatArks if chatArks is None: chatArks = readHAR() return await sendRequest(random.choice(chatArks), proxy) async def get_telemetry_ids(proxy: str = None) -> list: + try: + return [await create_telemetry_id(proxy)] + except NoValidHarFileError as e: + if debug.logging: + print(e) if debug.logging: print('Getting telemetry_id for you.com with nodriver') try: from nodriver import start except ImportError: - raise MissingRequirementsError('Install "nodriver" package | pip install -U nodriver') + raise MissingRequirementsError('Add .har file from you.com or install "nodriver" package | pip install -U nodriver') try: browser = await start() tab = browser.main_tab @@ -89,49 +94,11 @@ async def get_telemetry_ids(proxy: str = None) -> list: await tab.sleep(1) async def get_telemetry_id(): - public_token = "public-token-live-507a52ad-7e69-496b-aee0-1c9863c7c819" - telemetry_url = "https://telemetry.stytch.com/submit" - return await tab.evaluate(f'this.GetTelemetryID("{public_token}", "{telemetry_url}");', await_promise=True) - - # for _ in range(500): - # with open("hardir/you.com_telemetry_ids.txt", "a") as f: - # f.write((await get_telemetry_id()) + "\n") + return await tab.evaluate( + f'this.GetTelemetryID("{public_token}", "{telemetry_url}");', + await_promise=True + ) - return [await get_telemetry_id() for _ in range(4)] + return [await get_telemetry_id() for _ in range(1)] finally: - try: - await tab.close() - except Exception as e: - print(f"Error occurred while closing tab: {str(e)}") - try: - await browser.stop() - except Exception as e: - pass - - headers = { - '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', - 'Connection': 'keep-alive', - 'Content-type': 'application/x-www-form-urlencoded', - 'Origin': 'https://you.com', - 'Referer': 'https://you.com/', - 'Sec-Fetch-Dest': 'empty', - 'Sec-Fetch-Mode': 'cors', - 'Sec-Fetch-Site': 'cross-site', - 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36', - 'sec-ch-ua': '"Google Chrome";v="123", "Not:A-Brand";v="8", "Chromium";v="123"', - 'sec-ch-ua-mobile': '?0', - 'sec-ch-ua-platform': '"macOS"', - } - - proxies = { - 'http': proxy, - 'https': proxy} if proxy else None - - response = requests.post('https://telemetry.stytch.com/submit', - headers=headers, data=payload, proxies=proxies) - - if '-' in response.text: - print(f'telemetry generated: {response.text}') - - return (response.text) + await browser.stop()
\ No newline at end of file |