Update app.py

app.py

@@ -115,15 +115,15 @@ def classify(df, new_column = True):
   print("Transformado em W2V")
   words = list(reloaded_w2v_model.wv.vocab) 
   item_shape = np.shape(reloaded_w2v_model.wv[words[0]])
-  print(formatted_sentences)
+  # print(formatted_sentences)
 
   MCTIinput_vector = []
   for sentence in formatted_sentences:
     aux_vector = []
     for word in sentence:
-      try:
+      if word in reloaded_w2v_model.wv.vocab:
         aux_vector.append(reloaded_w2v_model.wv[word])
-      except:
+      else:
         aux_vector.append(np.zeros(item_shape))
       MCTIinput_vector.append(aux_vector)
   del formatted_sentences