Update app.py

app.py

@@ -7,6 +7,7 @@ from keras import backend as K
 import requests
 import shutil
 import requests
+import json
 
 def recall_m(y_true, y_pred):
   true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))
@@ -55,9 +56,10 @@ reconstructed_model_CNN = keras.models.load_model("best weights CNN.h5",
 
 
 def greet(sentence):
+  sentenceWords = json.loads(sentence)
   
   aux_vector = []
-  for word in sentence:
+  for word in sentenceWords:
     aux_vector.append(reloaded_w2v_model.wv[word])
   MCTIinput_vector = pad_sequences(aux_vector, maxlen=2726, padding='pre')