Convert keras model into tflite

keras_to_tflite.py

import tensorflow as tf
from keras.models import model_from_json

keras.backend.clear_session()

# Model reconstruction from JSON file.
with open('model.json', 'r') as f:
    model = model_from_json(f.read())

# Load weights from h5 file.
model.load_weights('model.h5')

# Print summary.
model.summary()

# Save model and weights in a h5 file, then load again using tf.keras.
model.save('model_full.h5')
model = tf.keras.models.load_model('model_full.h5', compile=False)

# Converting a tf.Keras model to a TensorFlow Lite model.
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()

# Save the TF Lite model.
with tf.io.gfile.GFile('model.tflite', 'wb') as f:
  f.write(tflite_model)