app.py

import gradio as gr
from transformers import pipeline


# Load pipeline
sentiment_analyzer = pipeline("sentiment-analysis", model="nlptown/bert-base-multilingual-uncased-sentiment")

def analyze_sentiment(text):
    result = sentiment_analyzer(text)[0]
    return f"Predicted Sentiment: {result['label']} stars"

# gradio interface
demo = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(label="Enter text for sentiment analysis", lines=3, placeholder="Type text here..."),
    outputs=gr.Textbox(label="Sentiment Result", lines=1),
    title="Sentiment Analysis",
    examples=[
        ["I love this product! It's amazing!"],
        ["This was the worst experience I've ever had."],
        ["The movie was okay, not great but not bad either."],
        ["Absolutely fantastic! I would recommend it to everyone."]
    ]
)

# Launch the app
if __name__ == "__main__":
    demo.launch()