# app.py
#from flask import Flask, render_template, request, jsonify

from fastapi import FastAPI
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse

from transformers import pipeline

app = FastAPI()
#model = pipeline('question-answering', model='bert-large-uncased-whole-word-masking-finetuned-squad', revision='main')

@app.route('/')
def home():
    return render_template('index.html')

@app.route('/predict', methods=['POST'])
def predict():
    user_input = request.json.get('message')
    #result = model(user_input)
    #response_text = result[0]['generated_text']
    return jsonify({'response': "Hello, Hugging Face!"})#response_text

#if __name__ == '__main__':
#    app.run(host='0.0.0.0', port=5000)