app.py

import gradio as gr
from transformers import pipeline

# Load pre-trained sentiment-analysis pipeline
model = pipeline("sentiment-analysis", model="distilbert-base-uncased")

# Function to classify sentiment
def analyze_sentiment(feedback_text):
    result = model(feedback_text)
    return result[0]['label'], result[0]['score']  # returns label and confidence score

# Gradio interface
iface = gr.Interface(fn=analyze_sentiment, 
                     inputs="text", 
                     outputs=["text", "number"])

iface.launch()