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import json
import random
import string
import time
# from typing import Any
import g4f
from fastapi import FastAPI, Request
from fastapi.responses import StreamingResponse
from g4f import ChatCompletion
from loguru import logger
from starlette.middleware.cors import CORSMiddleware
import nest_asyncio
import os
nest_asyncio.apply()
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_methods=["*"],
allow_headers=["*"],
)
@app.post("/chat/completions")
@app.post("/v1/chat/completions")
async def chat_completions(request: Request):
req_data = await request.json()
stream = req_data.get("stream", False)
model = req_data.get("model", "gpt-3.5-turbo")
messages = req_data.get("messages")
temperature = req_data.get("temperature", 1.0)
top_p = req_data.get("top_p", 1.0)
max_tokens = req_data.get("max_tokens", 0)
logger.info(
f"chat_completions: stream: {stream}, model: {model}, temperature: {temperature}, top_p: {top_p}, max_tokens: {max_tokens}"
)
response = await gen_resp(max_tokens, messages, model, stream, temperature, top_p)
completion_id = "".join(random.choices(string.ascii_letters + string.digits, k=28))
completion_timestamp = int(time.time())
if not stream:
logger.info(f"chat_completions: response: {response}")
return {
"id": f"chatcmpl-{completion_id}",
"object": "chat.completion",
"created": completion_timestamp,
"model": model,
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": response,
},
"finish_reason": "stop",
}
],
"usage": {
"prompt_tokens": None,
"completion_tokens": None,
"total_tokens": None,
},
}
def streaming():
for chunk in response:
completion_data = {
"id": f"chatcmpl-{completion_id}",
"object": "chat.completion.chunk",
"created": completion_timestamp,
"model": model,
"choices": [
{
"index": 0,
"delta": {
"content": chunk,
},
"finish_reason": None,
}
],
}
content = json.dumps(completion_data, separators=(",", ":"))
yield f"data: {content}\n\n"
time.sleep(0.03)
end_completion_data: dict[str, Any] = {
"id": f"chatcmpl-{completion_id}",
"object": "chat.completion.chunk",
"created": completion_timestamp,
"model": model,
"choices": [
{
"index": 0,
"delta": {},
"finish_reason": "stop",
}
],
}
content = json.dumps(end_completion_data, separators=(",", ":"))
yield f"data: {content}\n\n"
return StreamingResponse(streaming(), media_type="text/event-stream")
async def gen_resp(max_tokens, messages, model, stream, temperature, top_p):
MAX_ATTEMPTS = int(os.getenv("MAX_ATTEMPTS", 10))
attempts = 0
while True:
try:
response = ChatCompletion.create(
model=model,
stream=stream,
messages=messages,
temperature=temperature,
top_p=top_p,
max_tokens=max_tokens,
system_prompt="",
provider=g4f.Provider.Bing,
)
return response
except Exception as e:
logger.error(f"gen_resp: Exception: {e}")
attempts += 1
if attempts >= MAX_ATTEMPTS:
return "Lo siento, no he podido generar una respuesta de chat. Por favor, revisa tu conexión a Internet y la configuración de la API y vuelve a intentarlo."
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