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()