app.py

pip install transformers

import os
from transformers import pipeline
import gradio as gr

# Create a pipeline for speech recognition using the chosen model
pipe = pipeline(model="tarteel-ai/whisper-base-ar-quran", 
                use_auth_token=os.environ["HF_TARTEEL_TOKEN"])  # change to "your-username/the-name-you-picked"

# Define a function that transcribes audio using the pipeline
def transcribe(audio):
    text = pipe(audio)["text"]
    return text

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

# Launch the interface
iface.launch()