app.py

import gradio as gr
from transformers import pipeline

# Load your uploaded model
model_path = "PopeJohn/distilbert-imdb-johnbusg"
classifier = pipeline("text-classification", model=model_path)

def classify_review(review):
    result = classifier(review)[0]
    label = "Positive 😊" if result["label"] == "LABEL_1" else "Negative 😞"
    confidence = round(result["score"] * 100, 2)
    return f"{label} (Confidence: {confidence}%)"

interface = gr.Interface(
    fn=classify_review,
    inputs="text",
    outputs="text",
    title="Sentiment Classifier (IMDb)",
    description="Enter a movie review to classify it as Positive or Negative."
)

interface.launch()