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import gradio as gr |
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import torch |
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import torchaudio |
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from transformers import EncodecModel |
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from encodec.utils import convert_audio |
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from encodec import compress_to_file, decompress_from_file |
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import io |
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model = EncodecModel.from_pretrained("facebook/encodec_48khz") |
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model.set_target_bandwidth(6.0) |
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@spaces.GPU |
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def encode(audio_file_path): |
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try: |
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wav, sr = torchaudio.load(audio_file_path) |
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wav = convert_audio(wav, sr, model.sample_rate, model.channels) |
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output = io.BytesIO() |
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compress_to_file(model, wav, output) |
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output.seek(0) |
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return output |
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except Exception as e: |
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gr.Warning(f"An error occurred during encoding: {e}") |
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return None |
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@spaces.GPU |
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def decode(compressed_audio_file): |
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try: |
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wav, sr = decompress_from_file(compressed_audio_file) |
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decoded_audio = wav.cpu().numpy() |
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return decoded_audio |
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except Exception as e: |
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gr.Warning(f"An error occurred during decoding: {e}") |
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return None |
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with gr.Blocks() as demo: |
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gr.Markdown("<h1 style='text-align: center;'>Audio Compression with Encodec</h1>") |
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with gr.Tab("Encode"): |
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with gr.Row(): |
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audio_input = gr.Audio(type="filepath", label="Input Audio") |
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encode_button = gr.Button("Encode", variant="primary") |
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with gr.Row(): |
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encoded_output = gr.File(label="Compressed Audio (.ecdc)") |
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encode_button.click(encode, inputs=audio_input, outputs=encoded_output) |
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with gr.Tab("Decode"): |
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with gr.Row(): |
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compressed_input = gr.File(label="Compressed Audio (.ecdc)") |
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decode_button = gr.Button("Decode", variant="primary") |
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with gr.Row(): |
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decoded_output = gr.Audio(label="Decompressed Audio") |
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decode_button.click(decode, inputs=compressed_input, outputs=decoded_output) |
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demo.queue().launch() |
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