app.py

# import streamlit as st
# from transformers import pipeline
# pipe = pipeline('sentiment-analysis')
# text = st.text_area('enter some text!')

# if text:
#     out = pipe(text)
#     st.write(out)

# My Flask App
import json
from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)

pipe = pipeline('sentiment-analysis')

@app.route('/sentiment', methods=['POST'])
def sentiment_analysis():
    data = request.get_json()
    text = data['text']
    
    if text:
        out = pipe(text)
        return jsonify(out)
    else:
        return jsonify({"error": "No text provided."}), 400

if __name__ == '__main__':
    app.run()