app.py

from transformers import pipeline
import gradio as gr

# Load pretrained sentiment analysis model
classifier = pipeline("sentiment-analysis")

# Prediction function
def analyze_sentiment(text):
    result = classifier(text)
    
    label = result[0]['label']
    score = result[0]['score']
    
    return f"Sentiment: {label}\nConfidence: {score:.2f}"

# Create Gradio interface
interface = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(lines=3, placeholder="Enter text here..."),
    outputs="text",
    title="Sentiment Analysis App",
    description="AI model deployed using Hugging Face Spaces"
)

# Launch app
interface.launch()