app.py

from transformers import pipeline
import gradio as gr

# Load the model
sentiment_model = pipeline("sentiment-analysis")

# Define the app's logic
def analyze_sentiment(text):
    result = sentiment_model(text)[0]  # Get the first result
    label = result['label']  # Extract label (e.g., "POSITIVE" or "NEGATIVE")
    return label

# Gradio interface
interface = gr.Interface(
    fn=analyze_sentiment,
    inputs="text",
    outputs="text",
)

interface.launch()