i'm building a simple webservice to classify an image. Separated my keras model classifies correctly and the flask service is running.
But when i try to use the keras model in my flask app ...
from flask import Flask
from myproject.keras_model_wrapper import get_result
APP = Flask(__name__)
@APP.route('/')
def keras_result():
return get_result()
if __name__ == 'main':
APP.run()
... an import error occurs.
* Environment: development
* Debug mode: on
* Restarting with stat
* Debugger is active!
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
Traceback (most recent call last):
File "<python_path>\python\python37\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "<python_path>\python\python37\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<project_path>\.venv\Scripts\flask.exe\__main__.py", line 9, in <module>
File "<project_path>\.venv\lib\site-packages\flask\cli.py", line 966, in main
cli.main(prog_name="python -m flask" if as_module else None)
File "<project_path>\.venv\lib\site-packages\flask\cli.py", line 586, in main
return super(FlaskGroup, self).main(*args, **kwargs)
File "<project_path>\.venv\lib\site-packages\click\core.py", line 717, in main
rv = self.invoke(ctx)
File "<project_path>\.venv\lib\site-packages\click\core.py", line 1137, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "<project_path>\.venv\lib\site-packages\click\core.py", line 956, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "<project_path>\.venv\lib\site-packages\click\core.py", line 555, in invoke
return callback(*args, **kwargs)
File "<project_path>\.venv\lib\site-packages\click\decorators.py", line 64, in new_func
return ctx.invoke(f, obj, *args, **kwargs)
File "<project_path>\.venv\lib\site-packages\click\core.py", line 555, in invoke
return callback(*args, **kwargs)
File "<project_path>\.venv\lib\site-packages\flask\cli.py", line 860, in run_command
extra_files=extra_files,
File "<project_path>\.venv\lib\site-packages\werkzeug\serving.py", line 1008, in run_simple
run_with_reloader(inner, extra_files, reloader_interval, reloader_type)
File "<project_path>\.venv\lib\site-packages\werkzeug\_reloader.py", line 337, in run_with_reloader
reloader.run()
File "<project_path>\.venv\lib\site-packages\werkzeug\_reloader.py", line 202, in run
for filename in chain(_iter_module_files(), self.extra_files):
File "<project_path>\.venv\lib\site-packages\werkzeug\_reloader.py", line 24, in _iter_module_files
filename = getattr(module, "__file__", None)
File "<project_path>\.venv\lib\site-packages\tensorflow\__init__.py", line 50, in __getattr__
module = self._load()
File "<project_path>\.venv\lib\site-packages\tensorflow\__init__.py", line 44, in _load
module = _importlib.import_module(self.__name__)
File "<python_path>\python\python37\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 965, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'tensorflow_core.keras'
I don't know if it's important that the import system searches out of my .venv and TBH I have no idea, what exactly I should search for solving it on my own.
Every hint is welcome
I don't consider this to be a solution but Setting flask_debug=1(off) will allow you to continue working but you will need to restart the server after every change.
The issue is being tracked in TensorFlow Repo at the link below.
ModuleNotFoundError: No module named 'tensorflow_core.keras' in Flask