mirror of https://github.com/xtekky/gpt4free.git
Update __init__.py
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@ -1,44 +1,40 @@
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from fastapi import FastAPI, Response, Request
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from fastapi.middleware.cors import CORSMiddleware
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from typing import List, Union, Any, Dict, AnyStr
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from ._tokenizer import tokenize
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import g4f
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from .. import BaseProvider
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import time
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import json
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import random
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import string
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import uvicorn
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import nest_asyncio
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import g4f
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app = FastAPI()
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class Api:
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def __init__(self, engine: g4f, debug: bool = True, sentry: bool = False,
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list_ignored_providers: List[Union[str, BaseProvider]] = None) -> None:
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self.engine = engine
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self.debug = debug
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self.sentry = sentry
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self.list_ignored_providers = list_ignored_providers
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self.app = FastAPI()
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nest_asyncio.apply()
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origins = [
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"http://localhost",
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"http://localhost:1337",
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]
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app.add_middleware(
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CORSMiddleware,
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allow_origins=origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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JSONObject = Dict[AnyStr, Any]
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JSONArray = List[Any]
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JSONStructure = Union[JSONArray, JSONObject]
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@app.get("/")
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@self.app.get("/")
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async def read_root():
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return Response(content=json.dumps({"info": "G4F API"}, indent=4), media_type="application/json")
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return Response(content=json.dumps({"info": "g4f API"}, indent=4), media_type="application/json")
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@app.get("/v1")
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@self.app.get("/v1")
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async def read_root_v1():
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return Response(content=json.dumps({"info": "Go to /v1/chat/completions or /v1/models."}, indent=4), media_type="application/json")
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@app.get("/v1/models")
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@self.app.get("/v1/models")
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async def models():
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model_list = [{
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'id': model,
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@ -50,7 +46,7 @@ async def models():
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'object': 'list',
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'data': model_list}, indent=4), media_type="application/json")
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@app.get("/v1/models/{model_name}")
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@self.app.get("/v1/models/{model_name}")
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async def model_info(model_name: str):
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try:
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model_info = (g4f.ModelUtils.convert[model_name])
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@ -64,9 +60,8 @@ async def model_info(model_name: str):
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except:
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return Response(content=json.dumps({"error": "The model does not exist."}, indent=4), media_type="application/json")
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@app.post("/v1/chat/completions")
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@self.app.post("/v1/chat/completions")
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async def chat_completions(request: Request, item: JSONStructure = None):
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item_data = {
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'model': 'gpt-3.5-turbo',
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'stream': False,
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@ -158,10 +153,10 @@ async def chat_completions(request: Request, item: JSONStructure = None):
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return Response(content=json.dumps(streaming(), indent=4), media_type="application/json")
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@app.post("/v1/completions")
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@self.app.post("/v1/completions")
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async def completions():
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return Response(content=json.dumps({'info': 'Not working yet.'}, indent=4), media_type="application/json")
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def run(ip, thread_quantity):
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def run(self, ip, thread_quantity):
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split_ip = ip.split(":")
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uvicorn.run(app, host=split_ip[0], port=int(split_ip[1]), use_colors=False, workers=thread_quantity)
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uvicorn.run(self.app, host=split_ip[0], port=int(split_ip[1]), use_colors=False, workers=thread_quantity)
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