Update log errors

neural_acoustic_distance.py

@@ -12,6 +12,8 @@ from scipy import signal
 from transformers import AutoConfig
 from transformers.models.wav2vec2 import Wav2Vec2Model
 
+from datetime import datetime # test
+
 
 def play_audio(filename):
     audio_file = open(filename, "rb")
@@ -89,15 +91,15 @@ def run(model_id, layer, filename_x, filename_y):
     with st.spinner("Measuring distance..."):
         feats_x = featurizer(filename_x)
         feats_y = featurizer(filename_y)
-        print('3. Features computed') # test
+        print('3. Features computed', datetime.now().strftime('%d-%m-%Y %H:%M:%S')) # test
         gcm = aligner(feats_x, feats_y)
-        print('4. Alignments computed') # test
+        print('4. Alignments computed', datetime.now().strftime('%d-%m-%Y %H:%M:%S')) # test
 
         d = gcm.normalizedDistance
         print("Distance:", d)
 
         c, n = compute_costs(gcm)
-        print('5. Costs computed') # test
+        print('5. Costs computed', datetime.now().strftime('%d-%m-%Y %H:%M:%S')) # test
     return d, c, n
 
 
@@ -132,7 +134,7 @@ except OSError:
     )
     layer = None
 
-print('1. Model selected') # test
+print('1. Model selected', datetime.now().strftime('%d-%m-%Y %H:%M:%S')) # test
 
 st.subheader("Audio file selection:")
 
@@ -161,7 +163,7 @@ if filename_x == "custom upload":
 if filename_y == "custom upload":
     filename_y = st.file_uploader("Choose a file (y-axis)", key="f_y")
 
-print('2. Files selected') # test
+print('2. Files selected', datetime.now().strftime('%d-%m-%Y %H:%M:%S')) # test
 
 if filename_x is not None and filename_y is not None and layer is not None:
     print(f"\nX: {filename_x}\nY: {filename_y}")
@@ -171,7 +173,7 @@ if filename_x is not None and filename_y is not None and layer is not None:
 
     fig, axes = plt.subplots(figsize=(4, 2.5))
 
-    print('6. Plot init') # test
+    print('6. Plot init', datetime.now().strftime('%d-%m-%Y %H:%M:%S')) # test
 
     window_size = 9
     rate = 20
@@ -199,7 +201,7 @@ if filename_x is not None and filename_y is not None and layer is not None:
     plt.savefig("./output/plot.pdf")
     st.pyplot(fig)
 
-    print('7. Plot filled') # test
+    print('7. Plot filled', datetime.now().strftime('%d-%m-%Y %H:%M:%S')) # test
 
     if os.path.isfile("./output/plot.pdf"):
         st.caption(" Visualization of neural acoustic distances\
@@ -215,4 +217,4 @@ if filename_x is not None and filename_y is not None and layer is not None:
     with open("./output/plot.pdf", "rb") as file:
         btn = st.download_button(label="Download plot", data=file, file_name="plot.pdf", mime="image/pdf")
 
-    print('8. End') # test
+    print('8. End', datetime.now().strftime('%d-%m-%Y %H:%M:%S')) # test