Upload app.py

app.py

@@ -48,13 +48,18 @@ In this section, we'll look into the waveforms of multiple audios.
         # https://github.com/gradio-app/gradio/issues/5469
         @gr.on(inputs=[freq, freq2, amplitude], outputs=[audio, plots])
         def plot_sine(freq, freq2, a):
-            sr = 1000   # samples per second
+            sr = 44100   # samples per second
             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)
-            audio_path = "test.wav"
-            write(audio_path, sr, data)
 
+            # Normalize to [-1, 1]
+            data = data / np.max(np.abs(data))
+
+            # Convert to 16-bit integer PCM
+            data = (data * 32767).astype(np.int16)
+            audio_data = (sr, data)
+    
             fig, axes = plt.subplots(nrows=2, ncols=1, sharex=False)
             ax_waveform = axes[0]
             ax_spectrum = axes[1]
@@ -78,7 +83,7 @@ In this section, we'll look into the waveforms of multiple audios.
 
             fig.tight_layout()
             fig.savefig('foo.png')
-            return audio_path, fig
+            return audio_data, fig
         button.click(plot_sine, inputs=[freq, freq2, amplitude], outputs=[audio, plots])
     with gr.Tab("Spectrograms and Mel Spectrograms"):
         gr.Markdown("""## Waveforms