app.py

import gradio as gr
from transformers import pipeline

def sentiment_analysis(text):
    # Placeholder for sentiment analysis logic
    sentiment_analysis = pipeline("sentiment-analysis")
    result = sentiment_analysis(text)
    sentiment = result[0]['label']
    score = result[0]['score']
    if sentiment == "POSITIVE":
        return f"Positive sentiment with score: {score:.2f}"
    else:
        return f"Negative sentiment with score: {score:.2f}"
 
with gr.Blocks() as demo:
    gr.Markdown("## Sentiment Analysis App")

    with gr.Column():
        text_input = gr.Textbox(label="Enter text for sentiment analysis")
        sentiment_output = gr.Textbox(label="Sentiment Result")
        submit_btn = gr.Button("Analyze Sentiment")
        submit_btn.click(sentiment_analysis, inputs=text_input, outputs=sentiment_output)

demo.launch()