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gpt test
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app.py
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import gradio as gr
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def
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demo = gr.Interface(fn=greet, inputs="text", outputs="text")
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demo.launch()
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import gradio as gr
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import numpy as np
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import matplotlib.pyplot as plt
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import librosa
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import librosa.display
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def plot_stft(audio_file):
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# Load audio file
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y, sr = librosa.load(audio_file)
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# Compute the Short-Time Fourier Transform (STFT)
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D = librosa.stft(y)
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S_db = librosa.amplitude_to_db(np.abs(D), ref=np.max)
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# Plot the STFT
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plt.figure(figsize=(10, 6))
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librosa.display.specshow(S_db, sr=sr, x_axis='time', y_axis='log')
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plt.colorbar(format='%+2.0f dB')
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plt.title('STFT (Short-Time Fourier Transform)')
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# Save the plot as an image
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plt.savefig('stft_plot.png')
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plt.close()
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return 'stft_plot.png'
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# Gradio interface
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demo = gr.Interface(fn=plot_stft,
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inputs=gr.Audio(type="filepath"),
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outputs="image")
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demo.launch()
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