Update app.py

app.py

@@ -110,6 +110,7 @@ def classify(df, new_column = True):
   for sentence in sentencesMCTIList_xp8:
     formatted_sentences.append(json.loads(sentence.replace("'",'"')))
 
+  del sentencesMCTIList_xp8
   words = list(reloaded_w2v_model.wv.vocab) 
   item_shape = np.shape(reloaded_w2v_model.wv[words[0]])
   MCTIinput_vector = []
@@ -121,14 +122,20 @@ def classify(df, new_column = True):
       except:
         aux_vector.append(np.zeros(item_shape))
       MCTIinput_vector.append(aux_vector)
-  
+  del formatted_sentences
 
   MCTIinput_padded = pad_sequences(MCTIinput_vector, maxlen=2726, padding='pre')
+  del MCTIinput_vector
   
   predictions = reconstructed_model_CNN.predict(MCTIinput_padded)
+  del MCTIinput_padded
+  print(predictions)
+
   cleaned_up_predictions = []
   for prediction in predictions:
     cleaned_up_predictions.append(1 if prediction >= 0.5 else 0);
+  del predictions
+
   df['classification'] = cleaned_up_predictions
   return df