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07_Ilayaraja_book_prediction.py
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from tensorflow.keras.models import model_from_json | |
from tensorflow.keras.preprocessing.sequence import pad_sequences | |
import pickle | |
tokens = pickle.load(open(r'/content/Ilayaraja_book_tokens.pkl', 'rb')) | |
model_file = pickle.load(open(r'/content/Ilayaraja_book_model.pkl', 'rb')) | |
model = model_from_json(model_file['model_json']) | |
model.set_weights(model_file['model_weights']) | |
model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy']) | |
input_text = "சுருக்கமாகச்" | |
predict_next_words= 3 | |
for _ in range(predict_next_words): | |
input_token = tokens.texts_to_sequences([input_text])[0] | |
input_x = pad_sequences([input_token], maxlen=max_line_len-1, padding='pre') | |
predicted = np.argmax(model.predict(input_x), axis=-1) | |
output_word = "" | |
for word, index in tokens.word_index.items(): | |
if index == predicted: | |
output_word = word | |
break | |
input_text += " " + output_word | |
print(input_text) |
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