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app.py

@@ -43,7 +43,7 @@ In this section, we'll look into the waveforms of multiple audios.
         with gr.Row():
             plots = gr.Plot(label="Results")
         with gr.Row():
-            button = gr.Button(label="Create")
+            button = gr.Button(value="Create")
         
         # https://github.com/gradio-app/gradio/issues/5469
         @gr.on(inputs=[freq, freq2, amplitude], outputs=[audio, plots])
@@ -52,7 +52,8 @@ In this section, we'll look into the waveforms of multiple audios.
             ts = 1.0/sr # sampling interval
             t = np.arange(0, 1, ts) # time vector
             data = a * np.sin(2 * np.pi * freq * t) + a * np.sin(2 * np.pi * freq2 * t)
-            write("test.wav", sr, data)
+            audio_path = "test.wav"
+            write(audio_path, sr, data)
 
             fig, axes = plt.subplots(nrows=2, ncols=1, sharex=False)
             ax_waveform = axes[0]
@@ -77,7 +78,7 @@ In this section, we'll look into the waveforms of multiple audios.
 
             fig.tight_layout()
             fig.savefig('foo.png')
-            return "test.wav", fig
+            return audio_path, fig
         button.click(plot_sine, inputs=[freq, freq2, amplitude], outputs=[audio, plots])
     with gr.Tab("Spectrograms and Mel Spectrograms"):
         gr.Markdown("""## Waveforms

requirements.txt

@@ -1 +1,2 @@
-scipy
+scipy
+matplotlib