Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -1,9 +1,11 @@
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import gradio as gr
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import torchaudio
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from audiocraft.models import MusicGen
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import spaces
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import logging
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# Configura o logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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@@ -29,25 +31,32 @@ def generate_music(description, melody_audio):
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else:
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logging.info("Gerando música de forma incondicional.")
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wav = model.generate_unconditional(1)
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logging.info(f"A forma do tensor de áudio gerado: {wav[0].shape}")
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logging.info("Música gerada com sucesso.")
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# Define a interface Gradio
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description = gr.Textbox(label="Description", placeholder="acoustic, guitar, melody, trap, d minor, 90 bpm")
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melody_audio = gr.Audio(label="Melody Audio (optional)", type="filepath")
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gr.Interface(
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fn=generate_music,
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inputs=[description, melody_audio],
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outputs=
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title="MusicGen Demo",
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description="Generate music using the MusicGen model.",
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examples=[
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["trap, synthesizer, songstarters, dark, G# minor, 140 bpm", "./assets/kalhonaho.mp3"],
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["upbeat, electronic, synth, dance, 120 bpm", None]
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]
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).launch()
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import gradio as gr
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import torchaudio
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from audiocraft.models import MusicGen
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from audiocraft.data.audio import audio_write
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import spaces
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import logging
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import os
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import uuid
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# Configura o logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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else:
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logging.info("Gerando música de forma incondicional.")
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wav = model.generate_unconditional(1)
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filename = f'{str(uuid.uuid4())}.wav'
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output_path = os.path.join('./', filename) # Salva o arquivo no diretório atual
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logging.info(f"Salvando a música gerada em: {output_path}")
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audio_write(output_path, wav[0].cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True)
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# Verifica a forma do tensor de áudio e se foi salvo corretamente
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logging.info(f"A forma do tensor de áudio gerado: {wav[0].shape}")
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logging.info("Música gerada e salva com sucesso.")
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if not os.path.exists(output_path):
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raise ValueError(f'Failed to save audio to {output_path}')
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return output_path
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# Define a interface Gradio
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description = gr.Textbox(label="Description", placeholder="acoustic, guitar, melody, trap, d minor, 90 bpm")
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melody_audio = gr.Audio(label="Melody Audio (optional)", type="filepath")
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output_path = gr.Audio(label="Generated Music", type="filepath")
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gr.Interface(
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fn=generate_music,
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inputs=[description, melody_audio],
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outputs=output_path,
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title="MusicGen Demo",
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description="Generate music using the MusicGen model.",
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examples=[
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["trap, synthesizer, songstarters, dark, G# minor, 140 bpm", "./assets/kalhonaho.mp3"],
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["upbeat, electronic, synth, dance, 120 bpm", None]
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]
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).launch()
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