app.py

from fastapi import FastAPI, HTTPException, Request
from pydantic import BaseModel
import logging

# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("LLM-API")

app = FastAPI()

# Define the input schema
class InputText(BaseModel):
    input_text: str

@app.get("/")
def root():
    logger.info("Root endpoint called.")
    return {"message": "Welcome to the LLM API"}

@app.post("/predict")
async def predict(data: InputText, request: Request):
    logger.info("Received request: %s", await request.body())
    try:
        # Log the received input
        input_text = data.input_text
        logger.info(f"Processing input: {input_text}")
        # Return a mock response for now
        return {"response": f"The input was: {input_text}"}
    except Exception as e:
        logger.error(f"Error occurred: {e}")
        raise HTTPException(status_code=500, detail=str(e))