codice completo

chatgui.py

@@ -1,4 +1,3 @@
-
 import nltk
 from nltk.stem import WordNetLemmatizer
 lemmatizer = WordNetLemmatizer()
@@ -60,9 +59,11 @@ def getResponse(ints, intents_json):
 def chatbot_response(msg):
     ints = predict_class(msg, model)
     res = getResponse(ints, intents)
+    print(res)
     return res
 
-
+chatbot_response('Thank you')
+'''
 #Creating GUI with tkinter
 import tkinter
 from tkinter import *
@@ -115,3 +116,4 @@ def send():
 SendButton.place(x=6, y=401, height=90)
 
 base.mainloop()
+'''

train_chatbot.py

@@ -36,9 +36,9 @@
             classes.append(intent['tag'])
 
 words = [lemmatizer.lemmatize(w.lower()) for w in words if w not in ignore_words]
-words = sorted(list(set(words)))
+#words = sorted(list(set(words)))
 
-classes = sorted(list(set(classes)))
+#classes = sorted(list(set(classes)))
 
 print (len(documents), "documents")
 print("###########DOCUMENTS")
@@ -71,7 +71,7 @@
 
     training.append([bag, output_row])
 # shuffle our features and turn into np.array
-random.shuffle(training)
+#random.shuffle(training)
 training = np.array(training)
 # create train and test lists. X - patterns, Y - intents
 train_x = list(training[:,0])