Hello, I hope I'm posting on the right topic, forgive me id that's not the case.
I have created a cloud function with python 3.10 that should update a custom model in my firebase project, everything seems to be working as expected, except for when I need to update the tflite file to the newly generated trained model.
I create the tflite file and upload it to my bucket prior to trying to update the model on firebase, the error I get is "[Errno 2] No such file or directory: 'price_prediction_model.tflite'", which is weird because when I try to print all the files in my bucket, the tflite file I'm looking for indeed appears in the logs.
If someone could enlighten me, I would appreciate.
Here is the code :
#update the model to firebase machine learning
def update_tflite_model(model_name, model_display_name, tflite_model):
try:
model = get_model_by_display_name(model_display_name)
print(model.model_format)
print('OK 1')
source = ml.TFLiteGCSModelSource.from_tflite_model_file(f'{model_name}.tflite') # <= NO SUCH FILE OR DIRECTORY ??
print('OK 2')
model.model_format = ml.TFLiteFormat(model_source=tflite_model_source)
updated_model = ml.update_model(model)
ml.publish_model(updated_model.model_id)
print("TensorFlow Lite model updated in Firebase Machine Learning successfully!")
except Exception as e:
print("Error updating TensorFlow Lite model in Firebase Machine Learning:", e)
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