app.py

from transformers import pipeline
import gradio as gr

# Define the sentiment analysis pipeline
sentiment_model = pipeline("sentiment-analysis")

# Define the function to analyze sentiment
def get_sentiment(text):
    result = sentiment_model(text)[0]
    sentiment = result['label']
    score = result['score']
    return sentiment, round(score, 2)

# Build the Gradio interface
interface = gr.Interface(
    fn=get_sentiment,
    inputs=gr.Textbox(label="Enter the review:", placeholder="Write your review here..."),
    outputs=[
        gr.Textbox(label="Sentiment:"),
        gr.Textbox(label="Score:")
    ],
    title="Sentiment Analysis Prototype",
    description="Enter a review and get the sentiment and confidence score."
)

# Launch the interface
interface.launch()