Error while running the server of rasa

Hi ,

I have trained the model and Now I am trying to run the server with the help of the command rasa run -m models --enable-api --cors “*” --debug

But I am facing below issue

2020-09-23 14:06:48 INFO     root  - Starting Rasa server on http://localhost:5005
2020-09-23 14:06:48 DEBUG    rasa.core.utils  - Using the default number of Sanic workers (1).
2020-09-23 14:06:48 INFO     root  - Enabling coroutine debugging. Loop id 1543380523496.
2020-09-23 14:06:48 DEBUG    rasa.model  - Extracted model to 'C:\Users\prapends\AppData\Local\Temp\1\tmp9e9_w7ns'.
2020-09-23 14:06:49 DEBUG    root  - Could not load interpreter from 'D:\Pratik_Python\Rasa_Chatbot_Ticket\Helpdesk_version_2\models'.
2020-09-23 14:06:49 DEBUG    rasa.core.tracker_store  - Connected to InMemoryTrackerStore.
2020-09-23 14:06:49 DEBUG    rasa.core.lock_store  - Connected to lock store 'InMemoryLockStore'.
2020-09-23 14:06:50 DEBUG    rasa.model  - Extracted model to 'C:\Users\prapends\AppData\Local\Temp\1\tmpgf5d6f_o'.
2020-09-23 14:06:50 ERROR    rasa.core.agent  - Could not load model due to source code string cannot contain null bytes.
[2020-09-23 14:06:50 +0530] [50224] [ERROR] Experienced exception while trying to serve
Traceback (most recent call last):
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\sanic\app.py", line 1167, in run
    serve(**server_settings)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\sanic\server.py", line 892, in serve
    trigger_events(before_start, loop)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\sanic\server.py", line 668, in trigger_events
    loop.run_until_complete(result)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\asyncio\base_events.py", line 484, in run_until_complete
    return future.result()
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\run.py", line 257, in load_agent_on_start
    action_endpoint=endpoints.action,
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\asyncio\coroutines.py", line 110, in __next__
    return self.gen.send(None)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\agent.py", line 306, in load_agent
    remote_storage=remote_storage,
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\agent.py", line 973, in load_local_model
    path_to_model_archive=model_archive,
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\agent.py", line 422, in load
    interpreter = NaturalLanguageInterpreter.create(nlu_model)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\interpreter.py", line 54, in create
    return RasaNLUInterpreter(model_directory=obj)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\interpreter.py", line 274, in __init__
    self._load_interpreter()
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\interpreter.py", line 297, in _load_interpreter
    self.interpreter = Interpreter.load(self.model_directory)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\nlu\model.py", line 301, in load
    return Interpreter.create(model_metadata, component_builder, skip_validation)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\nlu\model.py", line 323, in create
    components.validate_requirements(model_metadata.component_classes)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\nlu\components.py", line 46, in validate_requirements
    from rasa.nlu import registry
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\nlu\registry.py", line 13, in <module>
    from rasa.nlu.classifiers.diet_classifier import DIETClassifier
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\nlu\classifiers\diet_classifier.py", line 25, in <module>
    from rasa.utils.tensorflow.models import RasaModel
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\utils\tensorflow\models.py", line 12, in <module>
    from rasa.utils.tensorflow.model_data import RasaModelData, FeatureSignature
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\utils\tensorflow\model_data.py", line 7, in <module>
    from sklearn.model_selection import train_test_split
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\sklearn\__init__.py", line 81, in <module>
    from . import __check_build  # noqa: F401
ValueError: source code string cannot contain null bytes
Traceback (most recent call last):
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\prapends\AppData\Local\Programs\Python\Python36\Scripts\rasa.exe\__main__.py", line 9, in <module>
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\__main__.py", line 92, in main
    cmdline_arguments.func(cmdline_arguments)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\cli\run.py", line 83, in run
    rasa.run(**vars(args))
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\run.py", line 56, in run
    **kwargs,
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\run.py", line 216, in serve_application
    endpoints.lock_store if endpoints else None
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\sanic\app.py", line 1167, in run
    serve(**server_settings)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\sanic\server.py", line 892, in serve
    trigger_events(before_start, loop)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\sanic\server.py", line 668, in trigger_events
    loop.run_until_complete(result)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\asyncio\base_events.py", line 484, in run_until_complete
    return future.result()
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\run.py", line 257, in load_agent_on_start
    action_endpoint=endpoints.action,
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\asyncio\coroutines.py", line 110, in __next__
    return self.gen.send(None)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\agent.py", line 306, in load_agent
    remote_storage=remote_storage,
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\agent.py", line 973, in load_local_model
    path_to_model_archive=model_archive,
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\agent.py", line 422, in load
    interpreter = NaturalLanguageInterpreter.create(nlu_model)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\interpreter.py", line 54, in create
    return RasaNLUInterpreter(model_directory=obj)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\interpreter.py", line 274, in __init__
    self._load_interpreter()
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\core\interpreter.py", line 297, in _load_interpreter
    self.interpreter = Interpreter.load(self.model_directory)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\nlu\model.py", line 301, in load
    return Interpreter.create(model_metadata, component_builder, skip_validation)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\nlu\model.py", line 323, in create
    components.validate_requirements(model_metadata.component_classes)
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\nlu\components.py", line 46, in validate_requirements
    from rasa.nlu import registry
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\nlu\registry.py", line 13, in <module>
    from rasa.nlu.classifiers.diet_classifier import DIETClassifier
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\nlu\classifiers\diet_classifier.py", line 25, in <module>
    from rasa.utils.tensorflow.models import RasaModel
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\utils\tensorflow\models.py", line 12, in <module>
    from rasa.utils.tensorflow.model_data import RasaModelData, FeatureSignature
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\rasa\utils\tensorflow\model_data.py", line 7, in <module>
    from sklearn.model_selection import train_test_split
  File "c:\users\prapends\appdata\local\programs\python\python36\lib\site-packages\sklearn\__init__.py", line 81, in <module>
    from . import __check_build  # noqa: F401
**ValueError: source code string cannot contain null bytes**

Kindly help

The -m models option is not needed since Rasa will automatically use the latest model from this directory. The alternative is to specify the full path to the model file with the -m option.

Greg