app.py

import gradio as gr
from transformers import pipeline

# Load pre-trained sentiment analysis model from Hugging Face
classifier = pipeline("sentiment-analysis")

# Define the function to predict sentiment
def predict_sentiment(text):
    result = classifier(text)
    label = result[0]['label']
    confidence = result[0]['score']
    return f"Sentiment: {label}, Confidence: {confidence:.2f}"

# Gradio interface
interface = gr.Interface(fn=predict_sentiment, inputs="text", outputs="text", 
                         title="Sentiment Analysis", description="Enter text to predict sentiment")

interface.launch(share=True)