big update

app.py

@@ -47,13 +47,13 @@ if uploaded_file is not None:
     waveform = audio
     # Set the chunk size
     chunk_size = 16000
-
+    st.write("Reached stage 2")
     # Calculate the number of chunks
     num_chunks = len(waveform) // chunk_size
 
     # Reshape the waveform into chunks
     waveform_chunks = np.array_split(waveform[:num_chunks * chunk_size], num_chunks)
-    
+    st.write("Reached stage 3")
     for chunk in waveform_chunks:
         input_tensor = torch.tensor(chunk).unsqueeze(0).to(torch.float32)
         result = model(input_tensor)