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TheStinger
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Parent(s):
cb9b2c5
Update app.py
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app.py
CHANGED
@@ -3,7 +3,6 @@ import matplotlib.pyplot as plt
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import numpy as np
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import os
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import soundfile as sf
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from PIL import Image
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def main():
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# Gradio Interface
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@@ -11,10 +10,10 @@ def main():
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gr.Markdown(
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"""
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# <div align="center"> Ilaria Audio Analyzer π (BETA) </div>
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Audio Analyzer Software by Ilaria, Help me on Ko-Fi\n
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Special thanks to Alex Murkoff for helping me coding it!
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Need help with AI? Join AI Hub!
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"""
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)
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@@ -23,10 +22,10 @@ def main():
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audio_input = gr.Audio(type='filepath')
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create_spec_butt = gr.Button(value='Create Spectrogram And Get Info', variant='primary')
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with gr.Column():
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image_output = gr.Image(type='filepath', interactive=False)
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create_spec_butt.click(fn=create_spectrogram_and_get_info, inputs=[audio_input], outputs=[
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app.queue(max_size=1022).launch(share=True)
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@@ -63,35 +62,17 @@ def create_spectrogram_and_get_info(audio_file):
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# Create a table with the audio file info
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info_table = f"""
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"""
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#
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# Hide axes
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ax.axis('tight')
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ax.axis('off')
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# Set figure background color
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fig.patch.set_facecolor('white')
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# Create table and save as image
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ax.text(0.5, 0.5, info_table, fontsize=140, ha='center', va='center', color='black')
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ax.text(0.95, 0.05, "Made by Ilaria Audio Analyzer", fontsize=10, ha='right', va='bottom', color='black')
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plt.savefig('info_table.png')
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# Open the images using PIL
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info_table_img = Image.open('info_table.png')
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spectrogram_img = Image.open('spectrogram.png')
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# Return the image data
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return info_table_img, spectrogram_img
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# Create the Gradio interface
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main()
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import numpy as np
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import os
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import soundfile as sf
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def main():
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# Gradio Interface
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gr.Markdown(
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"""
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# <div align="center"> Ilaria Audio Analyzer π (BETA) </div>
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Audio Analyzer Software by Ilaria, Help me on [Ko-Fi](https://ko-fi.com/ilariaowo)\n
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Special thanks to [Alex Murkoff](https://github.com/alexlnkp) for helping me coding it!
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Need help with AI? [Join AI Hub!](https://discord.gg/aihub)
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"""
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)
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audio_input = gr.Audio(type='filepath')
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create_spec_butt = gr.Button(value='Create Spectrogram And Get Info', variant='primary')
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with gr.Column():
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output_markdown = gr.Markdown(value="", visible=True)
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image_output = gr.Image(type='filepath', interactive=False)
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create_spec_butt.click(fn=create_spectrogram_and_get_info, inputs=[audio_input], outputs=[output_markdown, image_output])
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app.queue(max_size=1022).launch(share=True)
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# Create a table with the audio file info
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info_table = f"""
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| Information | Value |
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| --- | --- |
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| Duration | {int(minutes)} minutes - {int(seconds)} seconds - {int(milliseconds)} milliseconds |
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| Samples per second | {audio_info.samplerate} Hz |
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| Audio Channels | {audio_info.channels} |
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| Bitrate | {bitrate:.2f} Mb/s |
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"""
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# Return the PNG file of the spectrogram and the info table
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return info_table, 'spectrogram.png'
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# Create the Gradio interface
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main()
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