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c476c73
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Parent(s):
Add initial examples
Browse files- __pycache__/app.cpython-310.pyc +0 -0
- app.py +85 -0
- cinematic/audio.mp3 +0 -0
- cinematic/waveform.png +0 -0
- cinematic/waveform_video.mp4 +0 -0
- evil-laugh/audio.mp3 +0 -0
- evil-laugh/waveform.png +0 -0
- evil-laugh/waveform_video.mp4 +0 -0
- foo.png +0 -0
- forest/audio.mp3 +0 -0
- forest/waveform.png +0 -0
- forest/waveform_video.mp4 +0 -0
- knocking/audio.mp3 +0 -0
- knocking/waveform.png +0 -0
- knocking/waveform_video.mp4 +0 -0
- morning/audio.mp3 +0 -0
- morning/waveform.png +0 -0
- morning/waveform_video.mp4 +0 -0
- requirements.txt +1 -0
- speaker/_tmp_gradio_90240504697c6f4f6efcdfdfebfd674e574adde4_test.wav +0 -0
- speaker/_tmp_gradio_a75300d3e102dcdfcabf64b3165c9d9559b236d6_test.wav +0 -0
- speaker/audio.wav +0 -0
- speaker/waveform.png +0 -0
- speaker/waveform_video.mp4 +0 -0
- swoosh/audio.mp3 +0 -0
- swoosh/waveform.png +0 -0
- swoosh/waveform_video.mp4 +0 -0
- test.wav +0 -0
__pycache__/app.cpython-310.pyc
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app.py
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import gradio as gr
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import matplotlib.pyplot as plt
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import numpy as np
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import matplotlib.pyplot as plt
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from scipy.io.wavfile import write
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audios = [
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["Book Example", "speaker"],
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["Swoosh", "swoosh"],
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["Knocking", "knocking"],
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["Forest", "forest"],
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["Evil Laugh", "evil-laugh"],
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["Morning", "morning"],
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["Cinematic", "cinematic"],
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]
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with gr.Blocks() as demo:
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with gr.Tab("Waveforms"):
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gr.Markdown("""## Waveforms
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In this section, we'll look into the waveforms of multiple audios.
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""")
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for title, path in audios:
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown(f"### {title}")
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with gr.Column(scale=5):
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waveform = gr.Image(value=f"{path}/waveform.png")
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with gr.Column(scale=5):
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video = gr.Video(value=f"{path}/waveform_video.mp4")
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with gr.Tab("Understanding Frequencies"):
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gr.Markdown("""## Understanding Frequencies
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""")
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freq = gr.Slider(0, 300, step=20, value=40, label="Frequency")
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freq2 = gr.Slider(0, 30, step=5, value=0, label="Second Frequency")
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amplitude = gr.Slider(0.05, 1, step=0.05, value=1, label="Amplitude")
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audio = gr.Audio()
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with gr.Row():
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plots = gr.Plot(label="Results")
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with gr.Row():
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button = gr.Button(label="Create")
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# https://github.com/gradio-app/gradio/issues/5469
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@gr.on(inputs=[freq, freq2, amplitude], outputs=[audio, plots])
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def plot_sine(freq, freq2, a):
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sr = 1000 # samples per second
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ts = 1.0/sr # sampling interval
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t = np.arange(0, 1, ts) # time vector
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data = a * np.sin(2 * np.pi * freq * t) + a * np.sin(2 * np.pi * freq2 * t)
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write("test.wav", sr, data)
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fig, axes = plt.subplots(nrows=2, ncols=1, sharex=False)
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ax_waveform = axes[0]
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ax_spectrum = axes[1]
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ax_waveform.plot(t, data)
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ax_waveform.set_title(f'Sine wave with frequency {freq} and amplitude {a}')
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ax_waveform.set_xlabel('Time )s)')
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ax_waveform.set_ylabel('Amplitude')
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ax_waveform.set_title("Time domain of the signal")
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X = np.fft.fft(data)
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N = len(X)
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n = np.arange(N)
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T = N/sr
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freq = n/T
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ax_spectrum.set_xlim((0,300))
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ax_spectrum.stem(freq, np.abs(X), 'r', \
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markerfmt=" ", basefmt="-b")
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ax_spectrum.set_xlabel("Frequency (Hz)")
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ax_spectrum.set_title("Frequency domain of the signal")
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fig.tight_layout()
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fig.savefig('foo.png')
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return "test.wav", fig
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button.click(plot_sine, inputs=[freq, freq2, amplitude], outputs=[audio, plots])
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if __name__ == '__main__':
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demo.launch(debug=True)
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cinematic/audio.mp3
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Binary file (235 kB). View file
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cinematic/waveform.png
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cinematic/waveform_video.mp4
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Binary file (166 kB). View file
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evil-laugh/audio.mp3
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Binary file (115 kB). View file
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evil-laugh/waveform.png
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evil-laugh/waveform_video.mp4
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Binary file (62.5 kB). View file
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foo.png
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forest/audio.mp3
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Binary file (482 kB). View file
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forest/waveform.png
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forest/waveform_video.mp4
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Binary file (204 kB). View file
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knocking/audio.mp3
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Binary file (46.8 kB). View file
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knocking/waveform.png
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knocking/waveform_video.mp4
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Binary file (28.4 kB). View file
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morning/audio.mp3
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Binary file (449 kB). View file
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morning/waveform.png
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morning/waveform_video.mp4
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Binary file (184 kB). View file
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requirements.txt
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scipy
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speaker/_tmp_gradio_90240504697c6f4f6efcdfdfebfd674e574adde4_test.wav
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Binary file (8.06 kB). View file
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speaker/_tmp_gradio_a75300d3e102dcdfcabf64b3165c9d9559b236d6_test.wav
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Binary file (80.1 kB). View file
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speaker/audio.wav
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Binary file (160 kB). View file
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speaker/waveform.png
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speaker/waveform_video.mp4
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Binary file (72.5 kB). View file
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swoosh/audio.mp3
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Binary file (130 kB). View file
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swoosh/waveform.png
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swoosh/waveform_video.mp4
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Binary file (58.1 kB). View file
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test.wav
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Binary file (8.06 kB). View file
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