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DexterGui.py
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DexterGui.py
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import nltk
from nltk.stem import WordNetLemmatizer
lemmatizer = WordNetLemmatizer()
import pickle
import numpy as np
import tensorflow
from tensorflow.keras.models import load_model
model = load_model('Dexter_model.h5')
import json
import random
intents = json.loads(open('intents.json').read())
words = pickle.load(open('words.pkl','rb'))
classes = pickle.load(open('classes.pkl','rb'))
def clean_up_sentence(sentence):
# tokenize the pattern - split words into array
sentence_words = nltk.word_tokenize(sentence)
# stem each word - create short form for word
sentence_words = [lemmatizer.lemmatize(word.lower()) for word in sentence_words]
print(sentence_words)
return sentence_words
#the clean_up_sentence function is up and working
# return bag of words array: 0 or 1 for each word in the bag that exists in the sentence
def bow(sentence, words, show_details=True):
# tokenize the pattern
sentence_words = clean_up_sentence(sentence)
# bag of words - matrix of N words, vocabulary matrix
bag = [0]*len(words)
for s in sentence_words:
for i,w in enumerate(words):
if w == s:
# assign 1 if current word is in the vocabulary position
bag[i] = 1
print(bag[i])
if show_details:
print ("found in bag: %s" % w)
print("this assigns 1 for each for input word in the word, ie intents and 0 otherwise")
print(np.array(bag))
return(np.array(bag))
#the predict_class is always returning hospital search
def predict_class(sentence, model):
# filter out predictions below a threshold
p = bow(sentence, words,show_details=True)
print(p)
res = model.predict(np.array([p]))[0]
#incorrect probability values.
#options available, coming from model and predicting values
print("res(this gives the probability): ", end = " ")
print(res)
ERROR_THRESHOLD = 0.25
results = [[i,r] for i,r in enumerate(res) if r>ERROR_THRESHOLD]
print(enumerate(res))
# sort by strength of probability
results.sort(key=lambda x: x[1], reverse=True)
return_list = []
for r in results:
return_list.append({"intent": classes[r[0]], "probability": str(r[1])})
print("user message: " +sentence)
print(results)
print(return_list)
print("\n\n")
return return_list
def getResponse(ints, intents_json):
tag = ints[0]['intent']
list_of_intents = intents_json['intents']
for i in list_of_intents:
if(i['tag']== tag):
result = random.choice(i['responses'])
break
return result
def chatbot_response(msg):
ints = predict_class(msg, model)
res = getResponse(ints, intents)
return res
##this code contains the gui
from tkinter import *
def send():
msg = EntryBox.get("1.0", 'end-1c').strip()
def_reply = "Hey, im still under development,\nkindly take it cool with me!"
EntryBox.delete("0.0", END)
if msg != '':
ChatArea.config(state=NORMAL)
ChatArea.insert(END, "You: " + msg + '\n\n')
ChatArea.config(foreground="#442265", font=("Verdana", 11))
ChatArea.tag_configure('bot_reply_color', foreground='#850f2c')
res = chatbot_response(msg)
ChatArea.insert(END, "Dexter: " + res + '\n\n', ('bot_reply_color'))
ChatArea.config(state=DISABLED)
ChatArea.yview(END)
# this creates the window and set its properties
window = Tk()
window.title("Dexter | your smart assistant")
window.geometry("400x500")
window.resizable(width=False, height=False)
# the down footer
footer = Label(window,
text="Dexter© 2020", bd=0, fg="white", bg="black", width=30, height=5
)
# the chat area
ChatArea = Text(window, bd=0, bg="white", height="8", width="50", font="Arial", )
ChatArea.insert(END, "Dexter: Welcome, I'm your personal assistant.\nHow may i help you?" + '\n\n', ('bot_reply_color'))
ChatArea.tag_configure('bot_reply_color', foreground='#850f2c',font=("Verdana", 11))
ChatArea.config(state=DISABLED)
# Bind scrollbar to chat area
scrollbar = Scrollbar(window, command=ChatArea.yview, cursor="heart")
ChatArea['yscrollcommand'] = scrollbar.set
# Create Button to send message
SendButton = Button(window, font=("Verdana", 12, 'bold'), text="Send", width="12", height=5,
bd=0, bg="#387ed9", activebackground="#3c9d9b", fg='#ffffff',
command=send
)
# Create the box to enter message
EntryBox = Text(window, bd=0, bg="white", width="29", height="5", font="Arial")
# EntryBox.bind("<Return>", send)
# Place all components on the screen
scrollbar.place(x=376, y=6, height=392)
ChatArea.place(x=6, y=6, height=392, width=370)
EntryBox.place(x=6, y=400, height=60, width=287)
SendButton.place(x=300, y=400, height=60, width=95)
footer.place(x=0, y=470, height=30, width=400)
# this should be the last item
window.mainloop()