app.py

import subprocess
import sys

def install(package):
    subprocess.check_call([sys.executable, "-m", "pip", "install", package])

install("transformers")
install("torch")
install("gradio")
install("librosa")

# Lanjut kode seperti biasa
import gradio as gr
from transformers import pipeline
# ... dst
import gradio as gr
from transformers import pipeline

# ID model dari tarteel-ai (model base Al-Quran)
model_id = "tarteel-ai/whisper-base-ar-quran"

# Pipeline otomatis tangani audio dan model
pipe = pipeline(
    "automatic-speech-recognition",
    model=model_id,
    device="cpu",            # Pakai CPU gratisan, cukup untuk base
    chunk_length_s=30,       # Potong audio per 30 detik biar aman di RAM
)

def transcribe(audio):
    if audio is None:
        return ""
    sr, y = audio  # Gradio kasih tuple (sample_rate, numpy array)
    result = pipe({"sampling_rate": sr, "raw": y})
    return result["text"]

# Antarmuka
demo = gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(type="numpy", label="Unggah Audio Bacaan Al-Quran"),
    outputs=gr.Textbox(label="Hasil Transkripsi Arab", lines=3),
    title="🎙️ Whisper Base Al-Quran API",
    description="Model transkripsi bacaan Al-Quran akurat dari Tarteel AI.",
)

demo.launch()