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Update app.py
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app.py
CHANGED
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@@ -51,6 +51,7 @@ def generate_script(user_prompt: str, model_id: str, token: str):
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# Load MusicGen Model (Encapsulated)
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# ---------------------------------------------------------------------
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@spaces.GPU(duration=300)
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def generate_audio(prompt: str, audio_length: int):
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try:
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musicgen_model = MusicgenForConditionalGeneration.from_pretrained("facebook/musicgen-small")
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@@ -59,19 +60,21 @@ def generate_audio(prompt: str, audio_length: int):
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musicgen_model.to("cuda")
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inputs = musicgen_processor(text=[prompt], padding=True, return_tensors="pt")
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outputs = musicgen_model.generate(**inputs, max_new_tokens=audio_length)
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musicgen_model.to("cpu")
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sr = musicgen_model.config.audio_encoder.sampling_rate
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audio_data = outputs[0, 0].cpu().numpy()
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normalized_audio = (audio_data / max(abs(audio_data)) * 32767).astype("int16")
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except Exception as e:
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return f"Error generating audio: {e}"
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# ---------------------------------------------------------------------
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# Gradio Interface Functions
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# ---------------------------------------------------------------------
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@@ -127,12 +130,11 @@ with gr.Blocks() as demo:
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value=512,
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info="Select the desired audio token length."
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)
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generate_audio_button = gr.Button("Generate Audio 🎶")
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audio_output = gr.Audio(
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# Footer
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gr.Markdown("""
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# Load MusicGen Model (Encapsulated)
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# ---------------------------------------------------------------------
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@spaces.GPU(duration=300)
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@spaces.GPU(duration=300)
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def generate_audio(prompt: str, audio_length: int):
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try:
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musicgen_model = MusicgenForConditionalGeneration.from_pretrained("facebook/musicgen-small")
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musicgen_model.to("cuda")
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inputs = musicgen_processor(text=[prompt], padding=True, return_tensors="pt")
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outputs = musicgen_model.generate(**inputs, max_new_tokens=audio_length)
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musicgen_model.to("cpu")
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sr = musicgen_model.config.audio_encoder.sampling_rate
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audio_data = outputs[0, 0].cpu().numpy()
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normalized_audio = (audio_data / max(abs(audio_data)) * 32767).astype("int16")
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output_path = f"{tempfile.gettempdir()}/generated_audio.wav"
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write(output_path, sr, normalized_audio)
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return output_path
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except Exception as e:
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return f"Error generating audio: {e}"
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# ---------------------------------------------------------------------
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# Gradio Interface Functions
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# ---------------------------------------------------------------------
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value=512,
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info="Select the desired audio token length."
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)
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audio_output = gr.Audio(
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label="🎶 Generated Audio File",
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type="file",
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interactive=False
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)
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# Footer
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gr.Markdown("""
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