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Razoa/Mastering_Ai

sourceHugging Faceupdated 8mo agoView on Hugging Face
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app.py47 linesDownload Raw Back to root
1import gradio as gr2from pedalboard import Pedalboard, Compressor, Gain, Limiter, HighpassFilter3from pedalboard.io import AudioFile4import os5import tempfile6 7def master_audio(input_file):8    if input_file is None:9        return None10    11    try:12        # 1. Mamaky ny rakitra13        with AudioFile(input_file) as f:14            audio = f.read(f.frames)15            samplerate = f.samplerate16 17        # 2. Mastering Chain tsotra18        board = Pedalboard([19            HighpassFilter(cutoff_frequency_hz=30), 20            Compressor(threshold_db=-18, ratio=3.0),21            Gain(gain_db=3),22            Limiter(threshold_db=-0.5)23        ])24 25        mastered_audio = board(audio, samplerate)26 27        # 3. Tehirizina amin'ny anarana mazava28        output_path = os.path.join(tempfile.gettempdir(), "mastered.wav")29        with AudioFile(output_path, 'w', samplerate, mastered_audio.shape[0]) as f:30            f.write(mastered_audio)31        32        return output_path33    except Exception as e:34        return None35 36# 4. Interface natao ho an'ny Mobile (tsy misy Blocks be pitsiny)37demo = gr.Interface(38    fn=master_audio,39    inputs=gr.Audio(type="filepath", label="Hira ampidirina", sources=["upload"]),40    outputs=gr.Audio(label="Hira efa vita"),41    title="AI Master Pro",42    # Ity 'concurrency_limit' ity dia manampy amin'ny fitoniana43    concurrency_limit=5 44)45 46if __name__ == "__main__":47    demo.launch(share=True)