app.py

import gradio as gr
from transformers import pipeline

# Load our model (this will happen when the app starts)
sentiment_pipeline = pipeline("sentiment-analysis")

# Create a function that Gradio can use
def get_sentiment(input_text):
  result = sentiment_pipeline(input_text)
  return result[0]['label'] # Just return the label (POSITIVE or NEGATIVE)

# Launch the web UI
iface = gr.Interface(
    fn=get_sentiment, 
    inputs="text", 
    outputs="text",
    title="My First AI App",
    description="Enter some text and I'll tell you if it's positive or negative."
)
iface.launch(share=True)