Delete chatbot_kel.py

chatbot_kel.py

@@ -1,34 +0,0 @@
-import numpy as np
-from keras.saving import load_model
-from keras.preprocessing.text import Tokenizer
-from keras_self_attention import SeqSelfAttention
-from model_settings_kel import *
-import json
-from tokenizer import *
-
-
-with open(dataset_file, "r") as f:
-    dset = json.load(f)
-
-with open(responses_file, "r") as f:
-    lines = [x.rstrip("\n") for x in f.readlines()]
-
-fit_on_texts(list(dset.keys()))
-
-model = load_model("chatbot_kel.keras", custom_objects={"SeqSelfAttention": SeqSelfAttention})
-
-def find_line_number(array):
-    return sorted(zip(list(array), [x for x in range(len(array))]), key=lambda x:x[0], reverse=True)[0][1] # yeah, one big line, find the biggest value and return the number of the line
-
-def generate(text, verbose=1):
-    tokens = list(tokenize(text.lower())) # text into tokens (almost words)
-    tokens = (tokens+[0,]*inp_len)[:inp_len] # cutting off the sentence after inp_len words
-    prediction = model.predict(np.array([tokens,]), verbose=verbose)[0]
-    line = find_line_number(prediction)
-    return lines[line]
-
-if __name__ == "__main__": # if this code is not being imported, open the chat
-    while True:
-        inp = input("User: ")
-        gen = generate(inp)
-        if gen != "<null>": print(f"Bot: {gen}")