app.py

import gradio as gr
from transformers import pipeline

# Load sentiment analysis model
sentiment_pipeline = pipeline("sentiment-analysis")

# Define sentiment analysis function
def analyze_sentiment(text):
    result = sentiment_pipeline(text)[0]  # Get the first (only) result
    return f"Sentiment: {result['label']} (Confidence: {result['score']:.2f})"

# Create Gradio interface
iface = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
    outputs="text",
    title="Sentiment Analyzer",
    description="Enter a sentence to analyze its sentiment (Positive/Negative)."
)

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