app.py

import gradio as gr
from transformers import pipeline

# Load sentiment-analysis pipeline
sentiment_pipeline = pipeline("sentiment-analysis")

def analyze_sentiment(text):
    if not text.strip():
        return "Please enter valid text."
    result = sentiment_pipeline(text)[0]
    label = result['label']
    score = result['score']
    return f"Sentiment: {label} | Score: {score:.2f}"

# Gradio interface
iface = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(lines=3, placeholder="Type something here..."),
    outputs="text",
    title="Sentiment Analysis App",
    description="Enter a sentence to analyze its sentiment using Hugging Face Transformers."
)

iface.launch('share=True')