app.py

import gradio as gr
from transformers import pipeline

# Load audio classification pipeline
classifier = pipeline("audio-classification", model="superb/wav2vec2-base-superb-ks")

def classify_audio(file_path):
    # Hugging Face audio pipeline works best with a filepath
    return classifier(file_path)

# Gradio UI
demo = gr.Interface(
    fn=classify_audio,
    inputs=gr.Audio(type="filepath", label="Upload or Record Audio"),
    outputs=gr.Label(num_top_classes=5),
    title="Audio Classification App",
    description="Upload or record an audio file (mp3, wav, flac, etc.) and classify the sound."
)

if __name__ == "__main__":
    demo.launch()