from fastapi import FastAPI, Query, Request
from fastapi.responses import JSONResponse, HTMLResponse
from transformers import pipeline
import subprocess
import httpx

from transformers import pipeline

app = FastAPI()

pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")

@app.get("/infer_t5")
def t5(input):
    output = pipe_flan(input)
    return {"output": output[0]["generated_text"]}

@app.get("/", response_class=HTMLResponse)
async def streamlit_proxy(request: Request):
    async with httpx.AsyncClient() as client:
        streamlit_url = "http://localhost:8501/"
        response = await client.get(streamlit_url)
        return HTMLResponse(content=response.text, status_code=response.status_code)

@app.on_event("startup")
async def startup_event():
    # Запуск Streamlit в отдельном процессе
    subprocess.Popen(["streamlit", "run", "streamlit_app.py"])