reorganization of pickles and intents to clean up directory

src/semantic/gui_chatbot.py

@@ -12,12 +12,12 @@ model = load_model('chatbot_model.h5')
 modelBuilding = load_model('buildings_model.h5')
 import json
 import random
-intents = json.loads(open('intents.json').read())
+intents = json.loads(open('intents/intents.json').read())
-words = pickle.load(open('words.pkl','rb'))
+words = pickle.load(open('pickles/words.pkl','rb'))
-classes = pickle.load(open('classes.pkl','rb'))
+classes = pickle.load(open('pickles/classes.pkl','rb'))
-buildingsIntents = json.loads(open('buildingIntents.json').read())
+buildingsIntents = json.loads(open('intents/buildingIntents.json').read())
-building_words = pickle.load(open('building_words.pkl','rb'))
+building_words = pickle.load(open('pickles/building_words.pkl','rb'))
-buildings = pickle.load(open('buildings.pkl','rb'))
+buildings = pickle.load(open('pickles/buildings.pkl','rb'))
 confirmation = 0
 
 def clean_up_sentence(sentence):

src/semantic/train_buildings.py

@@ -14,7 +14,7 @@ building_words=[]
 buildings = []
 documents = []
 ignore_letters = ['!', '?', ',', '.']
-buildingIntents_file = open('buildingIntents.json').read()
+buildingIntents_file = open('intents/buildingIntents.json').read()
 buildingIntents = json.loads(buildingIntents_file)
 
 # download nltk resources
@@ -44,8 +44,8 @@ print (len(buildings), "buildings", buildings)
 # building_words = all building_words, vocabulary
 print (len(building_words), "unique lemmatized building_words", building_words)
 
-pickle.dump(building_words,open('building_words.pkl','wb'))
+pickle.dump(building_words,open('pickles/building_words.pkl','wb'))
-pickle.dump(buildings,open('buildings.pkl','wb'))
+pickle.dump(buildings,open('pickles/buildings.pkl','wb'))
 
 # create our training data
 training = []

src/semantic/train_chatbot.py

@@ -14,7 +14,7 @@ words=[]
 classes = []
 documents = []
 ignore_letters = ['!', '?', ',', '.']
-intents_file = open('intents.json').read()
+intents_file = open('intents/intents.json').read()
 intents = json.loads(intents_file)
 
 # download nltk resources
@@ -44,8 +44,8 @@ print (len(classes), "classes", classes)
 # words = all words, vocabulary
 print (len(words), "unique lemmatized words", words)
 
-pickle.dump(words,open('words.pkl','wb'))
+pickle.dump(words,open('pickles/words.pkl','wb'))
-pickle.dump(classes,open('classes.pkl','wb'))
+pickle.dump(classes,open('pickles/classes.pkl','wb'))
 
 # create our training data
 training = []