No such file or directory: 'config/los_model.state'

[BrianBut]

In local deployment of development server. $ FLASK_APP=ltss:create_app FLASK_ENV=development FLASK_DEBUG=1 python3 -m flask run --host=0.0.0.0 fails with

• Serving Flask app 'ltss:create_app' (lazy loading)
  • Environment: development
  • Debug mode: on Traceback (most recent call last): File "/home/brian/anaconda3/envs/beds/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/home/brian/anaconda3/envs/beds/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/flask/main.py", line 3, in main() File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/flask/cli.py", line 990, in main cli.main(args=sys.argv[1:]) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/flask/cli.py", line 596, in main return super().main(args, kwargs) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/click/core.py", line 1053, in main rv = self.invoke(ctx) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/click/core.py", line 1659, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/click/core.py", line 1395, in invoke return ctx.invoke(self.callback, ctx.params) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/click/core.py", line 754, in invoke return __callback(args, kwargs) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/click/decorators.py", line 84, in new_func return ctx.invoke(f, obj, *args, *kwargs) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/click/core.py", line 754, in invoke return __callback(args, kwargs) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/flask/cli.py", line 845, in run_command app = DispatchingApp(info.load_app, use_eager_loading=eager_loading) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/flask/cli.py", line 321, in init self._load_unlocked() File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/flask/cli.py", line 346, in _load_unlocked self._app = rv = self.loader() File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/flask/cli.py", line 402, in load_app app = locate_app(self, import_name, name) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/flask/cli.py", line 275, in locate_app return find_app_by_string(script_info, module, app_name) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/flask/cli.py", line 201, in find_app_by_string app = call_factory(script_info, attr, args, kwargs) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/flask/cli.py", line 119, in call_factory return app_factory(*args, **kwargs) File "/home/brian/Beds/skunkworks-long-stayer-risk-stratification/ltss/init.py", line 47, in create_app initialise_models() File "/home/brian/Beds/skunkworks-long-stayer-risk-stratification/ltss/init.py", line 36, in initialise_models LOS_MODEL = los_model.init_model() File "/home/brian/Beds/skunkworks-long-stayer-risk-stratification/ltss/los_model.py", line 95, in init_model predictor.load_state_dict(torch.load(model_file, map_location=torch.device('cpu'))) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/torch/serialization.py", line 579, in load with _open_file_like(f, 'rb') as opened_file: File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/torch/serialization.py", line 230, in _open_file_like return _open_file(name_or_buffer, mode) File "/home/brian/anaconda3/envs/beds/lib/python3.8/site-packages/torch/serialization.py", line 211, in init super(_open_file, self).init(open(name, mode)) FileNotFoundError: [Errno 2] No such file or directory: 'config/los_model.state'

[amadeuspzs]

Hi @BrianBut if you follow the instructions at https://github.com/nhsx/skunkworks-long-stayer-risk-stratification/blob/main/training/README.md#training-model-and-creating-the-files-needed-to-test-the-repo this will help generate the data and train the missing model