Error: Training an initial model… c:\users\u94885\rasa_bot\lib\site-packages\rasa\core\training\dsl.py:423: UserWarning: Found unknown intent ‘default’ on line 4. Please, make sure that all intents are listed in your domain yaml. docs=DOCS_URL_DOMAINS, Traceback (most recent call last): File “C:\Users\u94885\AppData\Local\Programs\Python\Python37\lib\runpy.py”, line 193, in run_module_as_main “main”, mod_spec) File “C:\Users\u94885\AppData\Local\Programs\Python\Python37\lib\runpy.py”, line 85, in run_code exec(code, run_globals) File "C:\Users\u94885\rasa_bot\Scripts\rasa.exe_main.py", line 9, in File "c:\users\u94885\rasa_bot\lib\site-packages\rasa_main.py", line 76, in main cmdline_arguments.func(cmdline_arguments) File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\cli\scaffold.py”, line 197, in run init_project(args, path) File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\cli\scaffold.py”, line 115, in init_project print_train_or_instructions(args, path) File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\cli\scaffold.py”, line 52, in print_train_or_instructions args.model = rasa.train(domain, config, training_files, output) File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\train.py”, line 50, in train additional_arguments=additional_arguments, File “C:\Users\u94885\AppData\Local\Programs\Python\Python37\lib\asyncio\base_events.py”, line 579, in run_until_complete return future.result() File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\train.py”, line 101, in train_async additional_arguments, File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\train.py”, line 144, in _train_async_internal file_importer.get_stories(), file_importer.get_nlu_data() File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\importers\importer.py”, line 269, in get_nlu_data nlu_data = await asyncio.gather(*nlu_data) File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\importers\rasa.py”, line 61, in get_nlu_data return utils.training_data_from_paths(self._nlu_files, language) File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\importers\utils.py”, line 9, in training_data_from_paths training_datas = [loading.load_data(nlu_file, language) for nlu_file in paths] File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\importers\utils.py”, line 9, in training_datas = [loading.load_data(nlu_file, language) for nlu_file in paths] File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\nlu\training_data\loading.py”, line 67, in load_data data_sets = [_load(f, language) for f in files] File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\nlu\training_data\loading.py”, line 67, in data_sets = [_load(f, language) for f in files] File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\nlu\training_data\loading.py”, line 138, in _load return reader.read(filename, language=language, fformat=fformat) File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\nlu\training_data\formats\readerwriter.py”, line 15, in read return self.reads(rasa.utils.io.read_file(filename), **kwargs) File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\nlu\training_data\formats\markdown.py”, line 73, in reads self._set_current_section(header[0], header[1]) File “c:\users\u94885\rasa_bot\lib\site-packages\rasa\nlu\training_data\formats\markdown.py”, line 192, in _set_current_section “”.format(section, “’, '”.join(available_sections)) ValueError: Found markdown section ‘entity’ which is not in the allowed sections ‘intent’, ‘synonym’, ‘regex’, ‘lookup’. …
nlu.md
intent:greet
- hey
- hello
- good day
intent:Product_inquiry
- Which product would you to inquire about ?
intent:Product_query_account
- Would you like open a new account ?
- Would you like to know exisiting account details ?
intent:Product_query_loan
- Would you like a new loan ?
- What loan product details would you require ?
intent:Product_query_loan_personal
- What would be your personal loan interest % ?
- Do you require personal loan details ?
intent:Product_query_loan_housing
- What would be your home loan interest % ?
- Do you require home loan details ?
intent:check_balance
- what is my balance
- how much do I have on my savings account
- Could I deposit in dollars currency?
config.yml
Configuration for Rasa NLU.
language: en pipeline: supervised_embeddings
Configuration for Rasa Core.
policies:
- name: MemoizationPolicy
- name: KerasPolicy
- name: MappingPolicy
domain.yml intents:
- greet
- Product_inquiry
- Product_query_account
- Product_query_loan
- Product_query_loan_personal
- Product_query_loan_housing
- check_balance
actions:
- utter_greet
- utter_cheer_up
- utter_did_that_help
- utter_happy
- utter_goodbye
- utter_info
- utter_account_info
- utter_loan_details
- utter_balance_info
templates: utter_greet:
- text: “Hey! How are you?”
utter_cheer_up:
- text: “Here is something to cheer you up:” image: “https://i.imgur.com/nGF1K8f.jpg”
utter_did_that_help:
- text: “Did that help you?”
utter_happy:
- text: “Great carry on!”
utter_goodbye:
- text: “Bye”
utter_info:
- text: “https://www.xyz.com/”
utter_account_info:
- text: “https://www.xyz.com/”
utter_balance_info:
- text: “https://www.xyz.com/”
utter_loan_details:
- text: “https://www.xyz.com/”
…
stories.md
happy path
- greet
- utter_greet
- mood_great
- utter_happy
sad path 1
- greet
- utter_greet
- mood_unhappy
- utter_cheer_up
- utter_did_that_help
- affirm
- utter_happy
sad path 2
- greet
- utter_greet
- mood_unhappy
- utter_cheer_up
- utter_did_that_help
- deny
- utter_goodbye
inform_inquiry
- Product_inquiry
- utter_info
inform_account
- Product_query_account
- utter_account_info
inform_Product_query_loan
- Product_query_loan
- utter_loan_details
inform_Product_query_loan_personal
- Product_query_loan_personal
- utter_loan_details
inform_Product_query_loan_housing
- Product_query_loan_housing
- utter_loan_details
inform_balance
- check_balance
- utter_balance_info