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]  # Extract the first result
    label = result["label"]
    score = result["score"]
    return f"Sentiment: {label} (Confidence: {score:.2f})"

# Create a Gradio interface
demo = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(lines=3, placeholder="Enter a sentence..."),
    outputs="text",
    title="Sentiment Analysis Demo",
    description="Enter text to see its sentiment (Positive/Negative) along with a confidence score.",
)

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)