app.py

import gradio as gr
 from transformers import pipeline
 # Load the sentiment analysis pipeline
 sentiment_pipeline = pipeline("sentiment-analysis")
 def analyze_sentiment(text):
    result = sentiment_pipeline(text)[0]
    label = result["label"]
    score = result["score"]
    return f"Sentiment: {label}\nConfidence: {score:.2f}"
 # Create the Gradio interface
 iface = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(placeholder="Enter text to analyze..."),
    outputs=gr.Textbox(),
    title="Sentiment Analysis App",
    description="Enter a sentence to determine its sentiment (positive or negative).",
    examples=[
        ["I love this product! It's amazing!"],
        ["I am very disappointed with the service."]
    ]
 )
 # Launch the app
 if __name__ == "__main__":
    iface.launch()