mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-25 04:01:52 +03:00
Merge pull request #1925 from hlohaus/worker
Add Ollama provider, Add vision support to Openai
This commit is contained in:
commit
1d02a06456
@ -457,10 +457,13 @@ async def stream_generate(
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returned_text = ''
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message_id = None
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while do_read:
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msg = await wss.receive_str()
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try:
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msg = await wss.receive_str()
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except TypeError:
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continue
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objects = msg.split(Defaults.delimiter)
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for obj in objects:
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if obj is None or not obj:
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if not obj:
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continue
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try:
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response = json.loads(obj)
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@ -1,8 +1,7 @@
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from __future__ import annotations
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import requests
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from ..typing import AsyncResult, Messages, ImageType
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from ..image import to_data_uri
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from ..typing import AsyncResult, Messages
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from .needs_auth.Openai import Openai
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class DeepInfra(Openai):
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@ -33,7 +32,6 @@ class DeepInfra(Openai):
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model: str,
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messages: Messages,
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stream: bool,
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image: ImageType = None,
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api_base: str = "https://api.deepinfra.com/v1/openai",
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temperature: float = 0.7,
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max_tokens: int = 1028,
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@ -54,19 +52,6 @@ class DeepInfra(Openai):
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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}
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if image is not None:
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if not model:
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model = cls.default_vision_model
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messages[-1]["content"] = [
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{
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"type": "image_url",
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"image_url": {"url": to_data_uri(image)}
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},
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{
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"type": "text",
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"text": messages[-1]["content"]
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}
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]
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return super().create_async_generator(
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model, messages,
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stream=stream,
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33
g4f/Provider/Ollama.py
Normal file
33
g4f/Provider/Ollama.py
Normal file
@ -0,0 +1,33 @@
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from __future__ import annotations
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import requests
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from .needs_auth.Openai import Openai
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from ..typing import AsyncResult, Messages
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class Ollama(Openai):
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label = "Ollama"
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url = "https://ollama.com"
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needs_auth = False
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working = True
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@classmethod
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def get_models(cls):
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if not cls.models:
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url = 'http://127.0.0.1:11434/api/tags'
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models = requests.get(url).json()["models"]
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cls.models = [model['name'] for model in models]
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cls.default_model = cls.models[0]
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return cls.models
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@classmethod
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def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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api_base: str = "http://localhost:11434/v1",
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**kwargs
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) -> AsyncResult:
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return super().create_async_generator(
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model, messages, api_base=api_base, **kwargs
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)
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@ -43,6 +43,7 @@ from .Llama import Llama
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from .Local import Local
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from .MetaAI import MetaAI
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from .MetaAIAccount import MetaAIAccount
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from .Ollama import Ollama
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from .PerplexityLabs import PerplexityLabs
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from .Pi import Pi
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from .Replicate import Replicate
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@ -4,9 +4,10 @@ import json
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from ..helper import filter_none
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from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin, FinishReason
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from ...typing import Union, Optional, AsyncResult, Messages
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from ...typing import Union, Optional, AsyncResult, Messages, ImageType
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from ...requests import StreamSession, raise_for_status
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from ...errors import MissingAuthError, ResponseError
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from ...image import to_data_uri
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class Openai(AsyncGeneratorProvider, ProviderModelMixin):
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label = "OpenAI API"
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@ -23,6 +24,7 @@ class Openai(AsyncGeneratorProvider, ProviderModelMixin):
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messages: Messages,
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proxy: str = None,
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timeout: int = 120,
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image: ImageType = None,
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api_key: str = None,
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api_base: str = "https://api.openai.com/v1",
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temperature: float = None,
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@ -36,6 +38,19 @@ class Openai(AsyncGeneratorProvider, ProviderModelMixin):
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) -> AsyncResult:
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if cls.needs_auth and api_key is None:
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raise MissingAuthError('Add a "api_key"')
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if image is not None:
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if not model and hasattr(cls, "default_vision_model"):
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model = cls.default_vision_model
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messages[-1]["content"] = [
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{
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"type": "image_url",
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"image_url": {"url": to_data_uri(image)}
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},
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{
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"type": "text",
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"text": messages[-1]["content"]
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}
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]
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async with StreamSession(
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proxies={"all": proxy},
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headers=cls.get_headers(stream, api_key, headers),
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@ -51,7 +66,6 @@ class Openai(AsyncGeneratorProvider, ProviderModelMixin):
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stream=stream,
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**extra_data
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)
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async with session.post(f"{api_base.rstrip('/')}/chat/completions", json=data) as response:
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await raise_for_status(response)
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if not stream:
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@ -103,8 +117,7 @@ class Openai(AsyncGeneratorProvider, ProviderModelMixin):
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"Content-Type": "application/json",
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**(
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{"Authorization": f"Bearer {api_key}"}
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if cls.needs_auth and api_key is not None
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else {}
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if api_key is not None else {}
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),
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**({} if headers is None else headers)
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}
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@ -201,7 +201,7 @@ def run_api(
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if bind is not None:
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host, port = bind.split(":")
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uvicorn.run(
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f"g4f.api:{'create_app_debug' if debug else 'create_app'}",
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f"g4f.api:create_app{'_debug' if debug else ''}",
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host=host, port=int(port),
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workers=workers,
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use_colors=use_colors,
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21
g4f/cli.py
21
g4f/cli.py
@ -11,6 +11,10 @@ def main():
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api_parser = subparsers.add_parser("api")
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api_parser.add_argument("--bind", default="0.0.0.0:1337", help="The bind string.")
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api_parser.add_argument("--debug", action="store_true", help="Enable verbose logging.")
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api_parser.add_argument("--model", default=None, help="Default model for chat completion. (incompatible with --debug and --workers)")
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api_parser.add_argument("--provider", choices=[provider.__name__ for provider in Provider.__providers__ if provider.working],
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default=None, help="Default provider for chat completion. (incompatible with --debug and --workers)")
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api_parser.add_argument("--proxy", default=None, help="Default used proxy.")
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api_parser.add_argument("--workers", type=int, default=None, help="Number of workers.")
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api_parser.add_argument("--disable-colors", action="store_true", help="Don't use colors.")
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api_parser.add_argument("--ignore-cookie-files", action="store_true", help="Don't read .har and cookie files.")
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@ -31,14 +35,15 @@ def main():
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def run_api_args(args):
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from g4f.api import AppConfig, run_api
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AppConfig.set_ignore_cookie_files(
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args.ignore_cookie_files
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)
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AppConfig.set_list_ignored_providers(
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args.ignored_providers
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)
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AppConfig.set_g4f_api_key(
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args.g4f_api_key
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AppConfig.set_config(
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ignore_cookie_files=args.ignore_cookie_files,
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ignored_providers=args.ignored_providers,
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g4f_api_key=args.g4f_api_key,
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defaults={
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"model": args.model,
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"provider": args.provider,
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"proxy": args.proxy
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}
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)
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run_api(
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bind=args.bind,
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@ -40,7 +40,7 @@ async def get_args_from_webview(url: str) -> dict:
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"Referer": window.real_url
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}
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cookies = [list(*cookie.items()) for cookie in window.get_cookies()]
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cookies = dict([(name, cookie.value) for name, cookie in cookies])
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cookies = {name: cookie.value for name, cookie in cookies}
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window.destroy()
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return {"headers": headers, "cookies": cookies}
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