app.py

import gradio as gr
from transformers import pipeline

# Load a simple sentiment analysis model
classifier = pipeline("sentiment-analysis")

def analyze_text(text):
    result = classifier(text)[0]
    return f"Label: {result['label']}, Confidence: {result['score']:.2f}"

# Create the Gradio interface
demo = gr.Interface(
    fn=analyze_text,
    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
    outputs="text",
    title="Text Sentiment Analysis",
    description="Enter some text and I'll analyze its sentiment.",
)

demo.launch()