Updates

app.py

@@ -52,8 +52,16 @@ with st.expander('About this App'):
 wav_audio_data = st_audiorec()
 if wav_audio_data is not None:
     np_wav = np.frombuffer(wav_audio_data, dtype=np.int16)
-    input_tensor = torch.tensor(np_wav)
-    st.write(input_tensor.shape)
+    wav_tensor = torch.tensor(np_wav, dtype=torch.float32)
+    segment_samples = int(RATE * 1)
+    num_segments = len(wav_tensor) // segment_samples
+    segments_list = []
+    for i in range(num_segments):
+        start_sample = i * segment_samples
+        end_sample = (i + 1) * segment_samples
+        segment = wav_tensor[start_sample:end_sample]
+        segments_list.append(segment)
+    st.write(segments_list)
     # PERCENTAGE OF SNORING PLOT