app.py

import gradio as gr
from transformers import pipeline

# Load the genre prediction model as a pipeline
pipe = pipeline(model="Stanford-TH/GenrePrediction", trust_remote_code=True)

def classify_movie_genre(description):
    # Get predictions using the pipeline
    predictions = pipe(description)
    
    # Format the predictions to match Gradio's output expectations
    formatted_predictions = {genre: score for genre, score in predictions}
    return formatted_predictions

# Define the Gradio interface
iface = gr.Interface(
    fn=classify_movie_genre,
    inputs="text",
    outputs=gr.outputs.Label(num_top_classes=3)
)

# Launch the Gradio interface
iface.launch(inline=False)