from fastapi import FastAPI, Request, Form
from fastapi.responses import HTMLResponse
import nest_asyncio
import uvicorn
# import gradio as gr
from tafsir import tafsir
app=FastAPI()
@app.on_event("startup")
async def startup_event():
global bot
bot=tafsir()
@app.get("/",response_class=HTMLResponse)
async def home():
html_content = """
Tafsir Topic
Topic Input
"""
return HTMLResponse(content=html_content, status_code=200)
@app.post("/analyze/", response_class=HTMLResponse)
async def analyze_text(text: str = Form(...)):
# Assuming your model is a function that takes input and returns predictions
prediction = bot.return_tafsir(text)
html_content = """
Analysis Result