Update app.py

app.py

@@ -456,7 +456,7 @@ def process_hdf5_file(uploaded_file, percentage):
             channels = np.array(f['channels']).astype(np.complex64)
             labels = np.array(f['labels']).astype(np.int32)  
         print(f"Loaded dataset with {channels.shape[0]} samples.")
-        #channels = channels * (10**(-3-np.floor(np.log10(np.abs(np.mean(channels).real)))))
+        channels = channels * (10**(-3-np.floor(np.log10(np.abs(np.mean(channels).real)))))
         
         # Step 7: Tokenize the data using the tokenizer from input_preprocess
         preprocessed_chs = input_preprocess.tokenizer(manual_data=channels)