app.py

import gradio as gr
from transformers import pipeline

# Load the Whisper model
pipe = pipeline("automatic-speech-recognition", model="tarteel-ai/whisper-base-ar-quran")

# Define inference function
def transcribe(audio):
    result = pipe(audio)["text"]
    return result

# Gradio interface
interface = gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(type="filepath", label="Upload Audio"),
    outputs=gr.Textbox(label="Transcription"),
    title="Arabic Quran Audio Transcriber",
    description="Upload an audio file to transcribe it using Whisper (Quran Arabic model)."
)

interface.launch()