app.py

import gradio as gr
from transformers import pipeline

# Load audio classification pipeline with an open model
model = pipeline("audio-classification", model="motheecreator/Deepfake-audio-detection")

def detect_deepfake(audio):
    result = model(audio)[0]
    label = result['label']
    score = result['score']
    return f"{label} ({round(score * 100, 2)}%)"

gr.Interface(
    fn=detect_deepfake,
    inputs=gr.Audio(type="filepath", label="Upload a voice clip"),
    outputs="text",
    title="AI Voice Detector",
    description="This tool uses a trained AI model to detect whether a voice clip is real or AI-generated."
).launch()