New at Rasa - and interested with forms in Rasa 2. Tried to do these steps here - not sure why the form just stop to present questions and take entities… Any advice?
LOGS: rasa shell --debug
2021-01-06 14:44:40.631675: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library ‘libcudart.so.10.1’; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2021-01-06 14:44:40.631710: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2021-01-06 14:44:42.633143: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library ‘libcuda.so.1’; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2021-01-06 14:44:42.633187: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
2021-01-06 14:44:42.633220: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (cnvrg-job-notebooksession-wei1vxae6tgkuypdussu-695784d7dc-79q4h): /proc/driver/nvidia/version does not exist
2021-01-06 14:44:42 INFO rasa.model - Loading model models/20210106-143351.tar.gz…
2021-01-06 14:44:42 DEBUG rasa.model - Extracted model to ‘/tmp/tmpw6ylcj7c’.
2021-01-06 14:44:42 DEBUG urllib3.connectionpool - Starting new HTTPS connection (1): api.segment.io:443
2021-01-06 14:44:43 DEBUG urllib3.connectionpool - https://api.segment.io:443 “POST /v1/track HTTP/1.1” 200 21
2021-01-06 14:44:43 DEBUG rasa.cli.utils - Parameter ‘endpoints’ not set. Using default location ‘endpoints.yml’ instead.
2021-01-06 14:44:43 DEBUG rasa.cli.utils - Parameter ‘credentials’ not set. Using default location ‘credentials.yml’ instead.
2021-01-06 14:44:43 INFO rasa.model - Loading model models/20210106-143351.tar.gz…
2021-01-06 14:44:43 DEBUG rasa.model - Extracted model to ‘/tmp/tmpan48e07s’.
2021-01-06 14:44:43 INFO root - Connecting to channel ‘cmdline’ which was specified by the ‘–connector’ argument. Any other channels will be ignored. To connect to all given channels, omit the ‘–connector’ argument.
2021-01-06 14:44:43 DEBUG sanic.root - CORS: Configuring CORS with resources: {’/’: {‘origins’: [’’], ‘methods’: ‘DELETE, GET, HEAD, OPTIONS, PATCH, POST, PUT’, ‘allow_headers’: [’.’], ‘expose_headers’: ‘filename’, ‘supports_credentials’: True, ‘max_age’: None, ‘send_wildcard’: False, ‘automatic_options’: True, ‘vary_header’: True, ‘resources’: {’/*’: {‘origins’: ‘’}}, ‘intercept_exceptions’: True, ‘always_send’: True}}
2021-01-06 14:44:43 DEBUG rasa.core.utils - Available web server routes:
/webhooks/rest GET custom_webhook_CmdlineInput.health
/webhooks/rest/webhook POST custom_webhook_CmdlineInput.receive
/ GET hello
2021-01-06 14:44:43 INFO root - Starting Rasa server on http://localhost:5005
2021-01-06 14:44:43 DEBUG rasa.core.utils - Using the default number of Sanic workers (1).
2021-01-06 14:44:43 INFO rasa.model - Loading model models/20210106-143351.tar.gz…
2021-01-06 14:44:43 DEBUG rasa.model - Extracted model to ‘/tmp/tmp9x8g6gff’.
2021-01-06 14:44:43 DEBUG urllib3.connectionpool - Starting new HTTPS connection (1): api.segment.io:443
2021-01-06 14:44:43 DEBUG urllib3.connectionpool - https://api.segment.io:443 “POST /v1/track HTTP/1.1” 200 21
2021-01-06 14:44:43 INFO root - Enabling coroutine debugging. Loop id 118825496.
2021-01-06 14:44:43 INFO rasa.model - Loading model models/20210106-143351.tar.gz…
2021-01-06 14:44:44 DEBUG rasa.model - Extracted model to ‘/tmp/tmppicclyv1’.
2021-01-06 14:44:44 DEBUG rasa.utils.tensorflow.models - Loading the model from /tmp/tmppicclyv1/nlu/component_5_DIETClassifier.tf_model with finetune_mode=False…
2021-01-06 14:44:44.254186: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-01-06 14:44:44.262749: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 3000000000 Hz
2021-01-06 14:44:44.263141: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x6b44880 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-01-06 14:44:44.263176: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2021-01-06 14:44:44 DEBUG rasa.nlu.classifiers.diet_classifier - Following metrics will be logged during training:
2021-01-06 14:44:44 DEBUG rasa.nlu.classifiers.diet_classifier - t_loss (total loss)
2021-01-06 14:44:44 DEBUG rasa.nlu.classifiers.diet_classifier - i_acc (intent acc)
2021-01-06 14:44:44 DEBUG rasa.nlu.classifiers.diet_classifier - i_loss (intent loss)
2021-01-06 14:44:44 DEBUG rasa.nlu.classifiers.diet_classifier - e_f1 (entity f1)
2021-01-06 14:44:44 DEBUG rasa.nlu.classifiers.diet_classifier - e_loss (entity loss)
2021-01-06 14:44:45 DEBUG rasa.utils.tensorflow.models - Finished loading the model.
2021-01-06 14:44:45 DEBUG rasa.utils.tensorflow.models - Building tensorflow prediction graph…
2021-01-06 14:44:49 DEBUG rasa.utils.tensorflow.models - Finished building tensorflow prediction graph.
2021-01-06 14:44:49 DEBUG rasa.nlu.classifiers.diet_classifier - Failed to load model for ‘ResponseSelector’. Maybe you did not provide enough training data and no model was trained or the path ‘/tmp/tmppicclyv1/nlu’ doesn’t exist?
2021-01-06 14:44:49 DEBUG rasa.core.tracker_store - Connected to InMemoryTrackerStore.
2021-01-06 14:44:49 DEBUG rasa.core.lock_store - Connected to lock store ‘InMemoryLockStore’.
2021-01-06 14:44:49 DEBUG rasa.model - Extracted model to ‘/tmp/tmp2n5845lb’.
2021-01-06 14:44:50 DEBUG rasa.core.nlg.generator - Instantiated NLG to ‘TemplatedNaturalLanguageGenerator’.
2021-01-06 14:44:50 INFO root - Rasa server is up and running.
Bot loaded. Type a message and press enter (use ‘/stop’ to exit):
Your input -> need a restaurant
2021-01-06 14:44:55 DEBUG rasa.core.lock_store - Issuing ticket for conversation ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:44:55 DEBUG rasa.core.lock_store - Acquiring lock for conversation ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:44:55 DEBUG rasa.core.lock_store - Acquired lock for conversation ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:44:55 DEBUG rasa.core.tracker_store - Could not find tracker for conversation ID ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:44:55 DEBUG rasa.core.processor - Starting a new session for conversation ID ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:44:55 DEBUG rasa.core.processor - Policy prediction ended with events ‘[]’.
2021-01-06 14:44:55 DEBUG rasa.core.processor - Action ‘action_session_start’ ended with events ‘[<rasa.shared.core.events.SessionStarted object at 0x7fbcac542240>, ActionExecuted(action: action_listen, policy: None, confidence: None)]’.
2021-01-06 14:44:55 DEBUG rasa.core.processor - Current slot values:
cuisine: None
num_people: None
outdoor_seating: None
requested_slot: None
2021-01-06 14:44:55 DEBUG rasa.nlu.classifiers.diet_classifier - There is no trained model for ‘ResponseSelector’: The component is either not trained or didn’t receive enough training data.
2021-01-06 14:44:55 DEBUG rasa.nlu.selectors.response_selector - Adding following selector key to message property: default
2021-01-06 14:44:55 DEBUG rasa.core.processor - Received user message ‘need a restaurant’ with intent ‘{‘id’: 7809173088652510351, ‘name’: ‘request_restaurant’, ‘confidence’: 0.9999359846115112}’ and entities ‘[]’
2021-01-06 14:44:55 DEBUG rasa.core.processor - Logged UserUtterance - tracker now has 4 events.
2021-01-06 14:44:55 DEBUG rasa.core.policies.rule_policy - Current tracker state:
[state 1] user text: need a restaurant | previous action name: action_listen
2021-01-06 14:44:55 DEBUG rasa.core.policies.rule_policy - There is no applicable rule.
2021-01-06 14:44:55 DEBUG rasa.core.policies.rule_policy - Current tracker state:
[state 1] user intent: request_restaurant | previous action name: action_listen
2021-01-06 14:44:55 DEBUG rasa.core.policies.rule_policy - There is a rule for the next action ‘restaurant_form’.
2021-01-06 14:44:55 DEBUG rasa.core.policies.ensemble - Made prediction using user intent.
2021-01-06 14:44:55 DEBUG rasa.core.policies.ensemble - Added DefinePrevUserUtteredFeaturization(False) event.
2021-01-06 14:44:55 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_0_RulePolicy.
2021-01-06 14:44:55 DEBUG rasa.core.processor - Predicted next action ‘restaurant_form’ with confidence 1.00.
2021-01-06 14:44:55 DEBUG rasa.core.actions.forms - Activated the form ‘restaurant_form’.
2021-01-06 14:44:55 DEBUG rasa.core.actions.forms - No pre-filled required slots to validate.
2021-01-06 14:44:55 DEBUG rasa.core.actions.forms - Validating user input ‘UserUttered(text: need a restaurant, intent: request_restaurant, use_text_for_featurization: False)’.
2021-01-06 14:44:55 DEBUG rasa.core.actions.forms - Validating extracted slots: {}
2021-01-06 14:44:55 DEBUG rasa.core.actions.forms - Request next slot ‘cuisine’
2021-01-06 14:44:55 DEBUG rasa.core.processor - Policy prediction ended with events ‘[<rasa.shared.core.events.DefinePrevUserUtteredFeaturization object at 0x7fbd377087f0>]’.
2021-01-06 14:44:55 DEBUG rasa.core.processor - Action ‘restaurant_form’ ended with events ‘[<rasa.shared.core.events.ActiveLoop object at 0x7fbcac510630>, <rasa.shared.core.events.SlotSet object at 0x7fbcac7748d0>, BotUttered(‘What cuisine?’, {“elements”: null, “quick_replies”: null, “buttons”: null, “attachment”: null, “image”: null, “custom”: null}, {“template_name”: “utter_ask_cuisine”}, 1609944295.8015578)]’.
2021-01-06 14:44:55 DEBUG rasa.core.processor - Current slot values:
cuisine: None
num_people: None
outdoor_seating: None
requested_slot: cuisine
2021-01-06 14:44:55 DEBUG rasa.core.policies.rule_policy - Predicted ‘action_listen’ after loop ‘restaurant_form’.
2021-01-06 14:44:55 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_0_RulePolicy.
2021-01-06 14:44:55 DEBUG rasa.core.processor - Predicted next action ‘action_listen’ with confidence 1.00.
2021-01-06 14:44:55 DEBUG rasa.core.processor - Policy prediction ended with events ‘[]’.
2021-01-06 14:44:55 DEBUG rasa.core.processor - Action ‘action_listen’ ended with events ‘[]’.
2021-01-06 14:44:55 DEBUG rasa.core.lock_store - Deleted lock for conversation ‘0d50adc25c544045add83f1494d1ef24’.
What cuisine?
Your input -> italian
2021-01-06 14:44:58 DEBUG rasa.core.lock_store - Issuing ticket for conversation ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:44:58 DEBUG rasa.core.lock_store - Acquiring lock for conversation ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:44:58 DEBUG rasa.core.lock_store - Acquired lock for conversation ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:44:58 DEBUG rasa.core.tracker_store - Recreating tracker for id ‘0d50adc25c544045add83f1494d1ef24’
2021-01-06 14:44:58 DEBUG rasa.nlu.classifiers.diet_classifier - There is no trained model for ‘ResponseSelector’: The component is either not trained or didn’t receive enough training data.
2021-01-06 14:44:58 DEBUG rasa.nlu.selectors.response_selector - Adding following selector key to message property: default
2021-01-06 14:44:58 DEBUG rasa.core.processor - Received user message ‘italian’ with intent ‘{‘id’: -8330170498475261037, ‘name’: ‘inform’, ‘confidence’: 0.9943757057189941}’ and entities ‘[{‘entity’: ‘cuisine’, ‘start’: 0, ‘end’: 7, ‘confidence_entity’: 0.8699348568916321, ‘value’: ‘italian’, ‘extractor’: ‘DIETClassifier’}]’
2021-01-06 14:44:58 DEBUG rasa.core.processor - Current slot values:
cuisine: None
num_people: None
outdoor_seating: None
requested_slot: cuisine
2021-01-06 14:44:58 DEBUG rasa.core.processor - Logged UserUtterance - tracker now has 11 events.
2021-01-06 14:44:58 DEBUG rasa.core.policies.rule_policy - Current tracker state:
[state 1] user intent: request_restaurant | previous action name: action_listen
[state 2] user intent: request_restaurant | previous action name: restaurant_form | active loop: {‘name’: ‘restaurant_form’}
[state 3] user text: italian | previous action name: action_listen | active loop: {‘name’: ‘restaurant_form’}
2021-01-06 14:44:58 DEBUG rasa.core.policies.rule_policy - There is no applicable rule.
2021-01-06 14:44:58 DEBUG rasa.core.policies.rule_policy - Predicted loop ‘restaurant_form’.
2021-01-06 14:44:58 DEBUG rasa.core.policies.ensemble - Made prediction using user intent.
2021-01-06 14:44:58 DEBUG rasa.core.policies.ensemble - Added DefinePrevUserUtteredFeaturization(False) event.
2021-01-06 14:44:58 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_0_RulePolicy.
2021-01-06 14:44:58 DEBUG rasa.core.processor - Predicted next action ‘restaurant_form’ with confidence 1.00.
2021-01-06 14:44:58 DEBUG rasa.core.actions.forms - Validating user input ‘UserUttered(text: italian, intent: inform, entities: italian (Type: cuisine, Role: None, Group: None), use_text_for_featurization: False)’.
2021-01-06 14:44:58 DEBUG rasa.core.actions.forms - Trying to extract requested slot ‘cuisine’ …
2021-01-06 14:44:58 DEBUG rasa.core.actions.forms - Got mapping ‘{‘type’: ‘from_entity’, ‘entity’: ‘cuisine’}’
2021-01-06 14:44:58 DEBUG rasa.core.actions.forms - Successfully extracted ‘italian’ for requested slot ‘cuisine’
2021-01-06 14:44:58 DEBUG rasa.core.actions.forms - Validating extracted slots: {‘cuisine’: ‘italian’}
2021-01-06 14:44:58 DEBUG rasa.core.actions.forms - Request next slot ‘num_people’
2021-01-06 14:44:58 DEBUG rasa.core.processor - Policy prediction ended with events ‘[<rasa.shared.core.events.DefinePrevUserUtteredFeaturization object at 0x7fbcac361860>]’.
2021-01-06 14:44:58 DEBUG rasa.core.processor - Action ‘restaurant_form’ ended with events ‘[<rasa.shared.core.events.SlotSet object at 0x7fbcac3617f0>, <rasa.shared.core.events.SlotSet object at 0x7fbcac3522e8>, BotUttered(‘How many people?’, {“elements”: null, “quick_replies”: null, “buttons”: null, “attachment”: null, “image”: null, “custom”: null}, {“template_name”: “utter_ask_num_people”}, 1609944298.6712868)]’.
2021-01-06 14:44:58 DEBUG rasa.core.processor - Current slot values:
cuisine: italian
num_people: None
outdoor_seating: None
requested_slot: num_people
2021-01-06 14:44:58 DEBUG rasa.core.policies.rule_policy - Predicted ‘action_listen’ after loop ‘restaurant_form’.
2021-01-06 14:44:58 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_0_RulePolicy.
2021-01-06 14:44:58 DEBUG rasa.core.processor - Predicted next action ‘action_listen’ with confidence 1.00.
2021-01-06 14:44:58 DEBUG rasa.core.processor - Policy prediction ended with events ‘[]’.
2021-01-06 14:44:58 DEBUG rasa.core.processor - Action ‘action_listen’ ended with events ‘[]’.
2021-01-06 14:44:58 DEBUG rasa.core.lock_store - Deleted lock for conversation ‘0d50adc25c544045add83f1494d1ef24’.
How many people?
Your input -> 2
2021-01-06 14:45:02 DEBUG rasa.core.lock_store - Issuing ticket for conversation ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:45:02 DEBUG rasa.core.lock_store - Acquiring lock for conversation ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:45:02 DEBUG rasa.core.lock_store - Acquired lock for conversation ‘0d50adc25c544045add83f1494d1ef24’.
2021-01-06 14:45:02 DEBUG rasa.core.tracker_store - Recreating tracker for id ‘0d50adc25c544045add83f1494d1ef24’
2021-01-06 14:45:02 DEBUG rasa.nlu.classifiers.diet_classifier - There is no trained model for ‘ResponseSelector’: The component is either not trained or didn’t receive enough training data.
2021-01-06 14:45:02 DEBUG rasa.nlu.selectors.response_selector - Adding following selector key to message property: default
2021-01-06 14:45:02 DEBUG rasa.core.processor - Received user message ‘2’ with intent ‘{‘id’: -8330170498475261037, ‘name’: ‘inform’, ‘confidence’: 0.9999982118606567}’ and entities ‘[]’
2021-01-06 14:45:02 DEBUG rasa.core.processor - Logged UserUtterance - tracker now has 18 events.
2021-01-06 14:45:02 DEBUG rasa.core.policies.rule_policy - Current tracker state:
[state 1] user intent: request_restaurant | previous action name: action_listen
[state 2] user intent: request_restaurant | previous action name: restaurant_form | active loop: {‘name’: ‘restaurant_form’}
[state 3] user text: 2 | previous action name: action_listen | active loop: {‘name’: ‘restaurant_form’}
2021-01-06 14:45:02 DEBUG rasa.core.policies.rule_policy - There is no applicable rule.
2021-01-06 14:45:02 DEBUG rasa.core.policies.rule_policy - Predicted loop ‘restaurant_form’.
2021-01-06 14:45:02 DEBUG rasa.core.policies.ensemble - Made prediction using user intent.
2021-01-06 14:45:02 DEBUG rasa.core.policies.ensemble - Added DefinePrevUserUtteredFeaturization(False) event.
2021-01-06 14:45:02 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_0_RulePolicy.
2021-01-06 14:45:02 DEBUG rasa.core.processor - Predicted next action ‘restaurant_form’ with confidence 1.00.
2021-01-06 14:45:02 DEBUG rasa.core.actions.forms - Validating user input ‘UserUttered(text: 2, intent: inform, use_text_for_featurization: False)’.
2021-01-06 14:45:02 DEBUG rasa.core.actions.forms - Trying to extract requested slot ‘num_people’ …
2021-01-06 14:45:02 DEBUG rasa.core.actions.forms - Got mapping ‘{‘type’: ‘from_entity’, ‘entity’: ‘num_people’}’
2021-01-06 14:45:02 DEBUG rasa.core.actions.forms - Failed to extract requested slot ‘num_people’
2021-01-06 14:45:02 DEBUG rasa.core.actions.forms - Validating extracted slots: {}
2021-01-06 14:45:02 DEBUG rasa.core.policies.rule_policy - Current tracker state:
[state 1] user intent: request_restaurant | previous action name: action_listen
[state 2] user intent: request_restaurant | previous action name: restaurant_form | active loop: {‘name’: ‘restaurant_form’}
[state 3] previous action name: action_listen | active loop: {‘name’: ‘restaurant_form’}
2021-01-06 14:45:02 DEBUG rasa.core.policies.rule_policy - There is no applicable rule.
2021-01-06 14:45:02 DEBUG rasa.core.policies.rule_policy - Current tracker state:
[state 1] user intent: request_restaurant | previous action name: action_listen
[state 2] user intent: request_restaurant | previous action name: restaurant_form | active loop: {‘name’: ‘restaurant_form’}
[state 3] user intent: inform | previous action name: action_listen | active loop: {‘name’: ‘restaurant_form’}
2021-01-06 14:45:02 DEBUG rasa.core.policies.rule_policy - There is no applicable rule.
2021-01-06 14:45:02 DEBUG rasa.core.policies.ensemble - Execution of ‘restaurant_form’ was rejected. Setting its confidence to 0.0 in all predictions.
2021-01-06 14:45:02 DEBUG rasa.core.policies.ensemble - Made prediction using user intent.
2021-01-06 14:45:02 DEBUG rasa.core.policies.ensemble - Added DefinePrevUserUtteredFeaturization(False) event.
2021-01-06 14:45:02 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_0_RulePolicy.
2021-01-06 14:45:02 DEBUG rasa.core.processor - Predicted next action ‘action_default_fallback’ with confidence 0.30.
2021-01-06 14:45:02 DEBUG rasa.core.processor - Policy prediction ended with events ‘[<rasa.shared.core.events.DefinePrevUserUtteredFeaturization object at 0x7fbcac2acfd0>]’.
2021-01-06 14:45:02 DEBUG rasa.core.processor - Action ‘action_default_fallback’ ended with events ‘[<rasa.shared.core.events.UserUtteranceReverted object at 0x7fbcac244390>]’.
2021-01-06 14:45:02 DEBUG rasa.core.processor - Current slot values:
cuisine: italian
num_people: None
outdoor_seating: None
requested_slot: num_people
2021-01-06 14:45:02 DEBUG rasa.core.policies.rule_policy - Predicted ‘action_listen’ after loop ‘restaurant_form’.
2021-01-06 14:45:02 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_0_RulePolicy.
2021-01-06 14:45:02 DEBUG rasa.core.processor - Predicted next action ‘action_listen’ with confidence 1.00.
2021-01-06 14:45:02 DEBUG rasa.core.processor - Policy prediction ended with events ‘[]’.
2021-01-06 14:45:02 DEBUG rasa.core.processor - Action ‘action_listen’ ended with events ‘[]’.
2021-01-06 14:45:02 DEBUG rasa.core.lock_store - Deleted lock for conversation ‘0d50adc25c544045add83f1494d1ef24’.
DOMAIN.YML version: “2.0”
forms:
restaurant_form:
cuisine:
- type: from_entity
entity: cuisine
outdoor_seating:
- type: from_intent
intent: affirm
value: true
- type: from_intent
intent: deny
value: false
num_people:
- type: from_entity
entity: num_people
entities:
- cuisine
- num_people
slots: cuisine: type: text auto_fill: false influence_conversation: false outdoor_seating: type: text auto_fill: false influence_conversation: false num_people: type: text auto_fill: false influence_conversation: false
intents:
- request_restaurant
- affirm
- deny
- inform
responses:
utter_ask_cuisine:
- text: “What cuisine?”
utter_ask_num_people:
- text: “How many people?”
utter_ask_outdoor_seating:
- text: “Do you want to sit outside?”
utter_submit:
- text: “All done!” utter_slots_values:
- text: “I am going to run a restaurant search using the following parameters:\n - cuisine: {cuisine}\n - num_people: {num_people}\n - outdoor_seating: {outdoor_seating}”
RULES.YML version: “2.0”
rules:
-
rule: activate restaurant form steps:
- intent: request_restaurant # intent that triggers form activation
- action: restaurant_form # run the form
- active_loop: restaurant_form # this form is active
-
rule: submit form condition:
- active_loop: restaurant_form # this form must be active
steps:
- action: restaurant_form # run the form
- active_loop: null # the form is no longer active because it has been filled
- action: utter_submit # action to take after the form is complete
- action: utter_slots_values # action to take after the form is complete
- active_loop: restaurant_form # this form must be active
steps:
NLU.YML version: “2.0”
nlu:
-
intent: request_restaurant examples: |
- im looking for a restaurant
- can i get swedish food in any area
- a restaurant that serves caribbean food
- id like a restaurant
- im looking for a restaurant that serves mediterranean food
- can i find a restaurant that serves chinese
-
intent: affirm examples: |
- Yes
- yes, please
- yup
-
intent: deny examples: |
- no don’t
- no
- no I don’t want that
-
intent: inform examples: |
- afghan food
- how bout asian oriental
- what about indian food
- uh how about turkish type of food
- um english
- im looking for tuscan food
- id like moroccan food
- for ten(num_people) people
- 2(num_people) people
- for three(num_people) people
- just one(num_people) person
- book for seven(num_people) people
- 2(num_people) please
- nine(num_people) people