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songremixer.py
Browse filesa code for remix song
app.py
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import gradio as gr
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from pydub import AudioSegment
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import io
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import numpy as np
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import soundfile as sf
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# Placeholder for actual remix transformation functions
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def transform_audio(audio, genre):
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# Load audio data
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audio = AudioSegment.from_file(io.BytesIO(audio), format="wav")
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# Here, we would apply genre-specific transformations
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if genre == "Dubstep":
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# Placeholder processing for Dubstep remix
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audio = audio.low_pass_filter(300)
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elif genre == "Drumstep":
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# Placeholder processing for Drumstep remix
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audio = audio.low_pass_filter(200).apply_gain(6)
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elif genre == "Trap":
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# Placeholder processing for Trap remix
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audio = audio.low_pass_filter(400)
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elif genre == "EDM":
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# Placeholder processing for EDM remix
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audio = audio.high_pass_filter(300)
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elif genre == "DnB":
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# Placeholder processing for Drum and Bass remix
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audio = audio.low_pass_filter(350).apply_gain(3)
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elif genre == "Colour Bass":
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# Placeholder processing for Colour Bass remix
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audio = audio.high_pass_filter(250).apply_gain(5)
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# Convert back to wav format
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buffer = io.BytesIO()
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audio.export(buffer, format="wav")
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return buffer.getvalue()
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# Define Gradio interface
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def remix_audio(file, genre):
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audio_bytes = file.read()
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output_audio = transform_audio(audio_bytes, genre)
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return output_audio
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# Setting up Gradio inputs and outputs
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genre_options = ["Dubstep", "Drumstep", "Trap", "EDM", "DnB", "Colour Bass"]
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inputs = [gr.Audio(source="upload", type="file"), gr.Dropdown(choices=genre_options, label="Choose Genre")]
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outputs = gr.Audio(type="file")
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# Launch Gradio app
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gr.Interface(fn=remix_audio, inputs=inputs, outputs=outputs, title="Song Remix Tool",
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description="Upload a song and choose a genre to remix it into Dubstep, Drumstep, Trap, EDM, DnB, or Colour Bass.").launch()
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