app.py

import gradio as gr
from transformers import pipeline

# This tells the Space to load your exact model!
classifier = pipeline("audio-classification", model="selva58/ai-voice-detector")

def analyze_audio(audio_path):
    if audio_path is None:
        return {"error": "No audio provided"}
    try:
        # Run the model
        result = classifier(audio_path)
        return result
    except Exception as e:
        return {"error": str(e)}

# Create the Gradio interface (which automatically creates an API)
iface = gr.Interface(
    fn=analyze_audio,
    inputs=gr.Audio(type="filepath"),
    outputs="json",
    title="AI Voice Detector API"
)

iface.launch()