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Create app.py
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app.py
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import gradio as gr
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from transformers import MusicGen
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# Load the MusicGen model
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model = MusicGen.from_pretrained("facebook/musicgen-medium")
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def generate_music(prompt):
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# Generate music based on the prompt
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generated_audio = model.generate(prompt, max_length=30) # Adjust the length as needed
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return generated_audio
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def process_song(input_audio):
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# Process the input audio file and generate extended music
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# Here, you can implement logic to create a prompt from the audio
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prompt = "Generate a continuation for the song based on its style." # Example prompt
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extended_music = generate_music(prompt)
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return extended_music
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# Create the Gradio interface
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iface = gr.Interface(
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fn=process_song,
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inputs=gr.inputs.Audio(label="Upload Your Song", type="filepath"),
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outputs=gr.outputs.Audio(label="Extended Song"),
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title="MusicGen Song Extender",
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description="Upload a song to extend it using MusicGen. The model generates additional music based on the input."
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)
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if __name__ == "__main__":
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iface.launch()
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