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changes in the path #8

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14 changes: 7 additions & 7 deletions train_seq2seq.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,9 +24,9 @@
MAX_TARGET_SEQ_LENGTH = 30
MAX_VOCAB_SIZE = 10000
DATA_SET_NAME = 'my_data'
DATA_DIR_PATH = 'E:/chatbot/ChatCrazie/my_data'
WEIGHT_FILE_PATH = 'E:/chatbot/ChatCrazie/support files/model-weights.h5'
GLOVE_MODEL = "E:/chatbot/ChatCrazie/glove.6B." + str(GLOVE_EMBEDDING_SIZE) + "d.txt"
DATA_DIR_PATH = './my_data'
WEIGHT_FILE_PATH = './support files/model-weights.h5'
GLOVE_MODEL = "glove.6B." + str(GLOVE_EMBEDDING_SIZE) + "d.txt"
WHITELIST = 'abcdefghijklmnopqrstuvwxyz1234567890?.,'

#defines the valid characters for the chatbot
Expand Down Expand Up @@ -104,8 +104,8 @@ def load_glove_embeddings():

num_decoder_tokens = len(target_idx2word)

np.save('E:/chatbot/ChatCrazie/support files/target-word2idx.npy', target_word2idx)
np.save('E:/chatbot/ChatCrazie/support files/target-idx2word.npy', target_idx2word)
np.save('./support files/target-word2idx.npy', target_word2idx)
np.save('./support files/target-idx2word.npy', target_idx2word)

input_texts_word2em = []

Expand All @@ -130,7 +130,7 @@ def load_glove_embeddings():
context['decoder_max_seq_length'] = decoder_max_seq_length

print(context)
np.save('E:/chatbot/ChatCrazie/support files/word-glove-context.npy', context)
np.save('./support files/word-glove-context.npy', context)


def generate_batch(input_word2em_data, output_text_data):
Expand Down Expand Up @@ -170,7 +170,7 @@ def generate_batch(input_word2em_data, output_text_data):
model = Model([encoder_inputs, decoder_inputs], decoder_outputs)
model.compile(loss='categorical_crossentropy', optimizer='rmsprop',metrics=['accuracy'])
json = model.to_json()
open('E:/chatbot/ChatCrazie/support files/word-architecture.json', 'w').write(json)
open('./support files/word-architecture.json', 'w').write(json)

#train_test split
Xtrain, Xtest, Ytrain, Ytest = train_test_split(input_texts_word2em, target_texts, test_size=0.2, random_state=42)
Expand Down