def add_gen_sentences(num):
model = Markov()
load_quotes_to_model("QUOTES.JSON", model)
model.build_chain()
genquotes = []
with open("generated_quotes.json", 'r') as jfile:
content = json.load(jfile)
genquotes = content["quotes"]
for _ in range(num):
newQuote = " ".join(model.make_sentence())
maxSimilarity = max(similar(newQuote, i) for i in model.allsentences)
if maxSimilarity < 0.85:
print(newQuote)
print(maxSimilarity)
genquotes.append(newQuote)
jsonData = {"quotes": genquotes}
with open("generated_quotes.json", 'w') as jfile:
json.dump(jsonData, jfile)