I am new to Rasa-core and currently trying to train my model with fallback policy First i tried with python -m rasa_core.train -d domain.yml -s data/stories.md -o models/current/dialogue --nlu_threshold 0.1 --core_threshold 0.1 --fallback_action action_default_fallback -c policies.yml But it didn’t worked as we need to insert Fallback policy in ensemble of policies, then as suggested in
and Implementing Default Fallback Actions I created a train.py script to train it and save the model.
training_data_file = 'data/stories.md'
model_path = 'models/dialogue'
fallback = FallbackPolicy(fallback_action_name="action_default_fallback",
core_threshold=0.3,
nlu_threshold=0.3)
agent = Agent("domain.yml",
policies=[MemoizationPolicy(max_history=5), KerasPolicy(), fallback])
data = agent.load_data(training_data_file)
agent.train(
data,
augmentation_factor=50,
epochs=500,
batch_size=10,
validation_split=0.2
)
agent.persist(model_path)
But now i cannot run the model using python -m rasa_core.run --enable_api --auth_token thisismysecret -o models/dialogue -d models/dialogue -u models/current/nlu --endpoints endpoints.yml
As it is giving return open(self.baseFilename, self.mode, encoding=self.encoding) PermissionError: [Errno 13] Permission denied: ‘C:\user\…\Mentor-Chatbot\models\dialogue’
I tried to give the folder all read write permission but it didn’t worked. Can anyone help me , how i can run this.