app.py

import gradio as gr
from transformers import pipeline

classifier = pipeline(
    "text-classification",
    model="Asmatullah-AI-Engineer/distilbert-imdb-sentiment"
)

def predict(text):
    result = classifier(text)[0]
    label = result["label"]
    score = result["score"]
    return f"{label} (confidence: {score:.3f})"

demo = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(placeholder="Enter a movie review..."),
    outputs=gr.Textbox(label="Sentiment"),
    title="Movie Sentiment Classifier",
    description="Fine-tuned DistilBERT on IMDb reviews"
)

demo.launch()