app.py

# app.py — upload this file to your Hugging Face Space
import gradio as gr
from transformers import pipeline

model_name = "msfasha/distilbert-sentiment-imdb-small"
classifier = pipeline("sentiment-analysis", model=model_name)

def predict_sentiment(text):
    result = classifier(text)[0]
    return f"Label: {result['label']}, Confidence: {round(result['score'], 3)}"

interface = gr.Interface(
    fn=predict_sentiment,
    inputs="text",
    outputs="text",
    title="Sentiment Analysis",
    description="Enter a movie review to classify as POSITIVE or NEGATIVE."
)

interface.launch()