def __init__(self):
print("Init")
if self.instance is not None:
raise ValueError("Bot fonksiyonunu çağır mayı unuttn? ")
self.stemmer = LancasterStemmer()
data = pickle.load(open(path.getPath('trained_data'), "rb"))
self.words = data['words']
self.classes = data['classes']
train_x = data['train_x']
train_y = data['train_y']
with open(path.getJsonPath()) as json_data:
self.intents = json.load(json_data)
net = tflearn.input_data(shape=[None, len(train_x[0])])
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, len(train_y[0]), activation='softmax')
net = tflearn.regression(net)
self.model = tflearn.DNN(net, tensorboard_dir=path.getPath('train_logs'))
self.model.load(path.getPath('model.tflearn'))
import nltk
from nltk.stem.lancaster import LancasterStemmer
import numpy as np
import tensorflow as tf
import tflearn
import random
import pickle
from Bot import path
import json
stemmer = LancasterStemmer()
with open(path.getJsonPath()) as json_data:
intents = json.load(json_data)
words = []
classes = []
documents = []
ignore_words = ['?']
for intent in intents['intents']: #Tümsözcüklerde dolaş
for pattern in intent['patterns']:
w = nltk.word_tokenize(pattern) #nltk tüm patternleri tokineze edecek
words.extend(w)
documents.append((w, intent['tag'])) #steming kısmı
if intent['tag'] not in classes:
classes.append(intent['tag'])
words = [
stemmer.stem(w.lower()) for w in words if w not in ignore_words
] #Burda tüm hepsini küçük harfe dönüştürdük çünkü karşılaştırma yapıldıgında büyük küçük harf farkı olmasn