app.py

from transformers import pipeline
import gradio as gr

pipe = pipeline(task="automatic-speech-recognition", model="tarteel-ai/whisper-base-ar-quran")

def transcribe(audio):
    text = pipe(audio)["text"]
    return text

iface = gr.Interface(
    fn=transcribe, 
    inputs=gr.Audio(type="filepath"),  # Removed source="microphone"
    outputs="text",
    title="Whisper Base for Quranic Arabic",
    description="Realtime demo for Quran speech recognition using a fine-tuned Whisper base model.",
)

iface.launch()