from fastapi import FastAPI
from fastapi.responses import JSONResponse
from transformers import pipeline
from fastapi.requests import Request
from pydantic import BaseModel


app = FastAPI()

# Initialize the text generation pipeline
pipe = pipeline("text2text-generation", model="google/flan-t5-small")

@app.middleware("http")
async def log_requests(request: Request, call_next):
    print(f"Incoming request: {request.method} {request.url}")
    response = await call_next(request)
    return response

@app.get("/")
def read_root():
    return {
        "message": "Welcome to the FastAPI text generation API! Use the /generate endpoint with a 'text' query parameter."
    }

class GenerateRequest(BaseModel):
    text: str

@app.post("/generate")
def generate(request: GenerateRequest):
    try:
        output = pipe(request.text)
        return {"output": output[0]["generated_text"]}
    except Exception as e:
        return JSONResponse(
            status_code=500,
            content={"error": f"An error occurred: {str(e)}"}
        )