36 lines
704 B
Python
36 lines
704 B
Python
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from model import m
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from preprocessor import frs
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import pickle
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import time
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from sys import exit
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from tensorflow.keras.utils import pad_sequences as kps
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m.load_weights("model2.keras")
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tk = pickle.load(open('tokenizer.pickle', 'rb'))
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while True:
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t = ""
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try:
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t = frs(input("Comment: "))
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except EOFError:
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print("\nExiting")
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exit(0)
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print(f"Processed: {t}")
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s = tk.texts_to_sequences([t])
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print(f"Sequence: {s[0]}")
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ps = kps(s, maxlen = 100)
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p = m.predict(ps)
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if p >= 0.75:
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print(f"Result: positive ({p[0]})\n")
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elif p <= 0.25:
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print(f"Result: negative ({p[0]})\n")
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else:
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print(f"Result: unsure ({p[0]})\n")
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