| # Script Python pour convertir le modèle | |
| import tensorflow as tf | |
| # Charger votre modèle Keras | |
| model = tf.keras.models.load_model('C:/Users/Grace/Documents/deploiementClassificationStreamlit/mon_modele_final.keras') | |
| # Convertir en TFLite | |
| converter = tf.lite.TFLiteConverter.from_keras_model(model) | |
| converter.optimizations = [tf.lite.Optimize.DEFAULT] | |
| tflite_model = converter.convert() | |
| # Sauvegarder | |
| with open('mon_modele_final.tflite', 'wb') as f: | |
| f.write(tflite_model) |