main.py

from flask import Flask, jsonify, render_template, request, make_response
import requests
import transformers
from huggingface_hub import cached_download
import torch
from torch import nn
import re
import numpy as np
import pandas as pd
from collections import OrderedDict
# import requests
# from bs4 import BeautifulSoup

app = Flask(__name__)


headers = {"Authorization": f"Bearer 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"}
API_URL = "https://api-inference.huggingface.co/models/nlptown/bert-base-multilingual-uncased-sentiment"
def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()

@app.route('/', methods=['GET'])
def get():
    data = query({"inputs": "The movie is good"})
    return data

@app.route("/", methods=["GET", "POST"])
def index():
    user_input = None
    response = None

    if request.method == "POST":
        user_input = request.form.get("user_input")
        response = query({"inputs": user_input})
        

    return render_template("index.html", user_input=user_input, response=response)