MindMeld_tutorial

# Run in command line:
# mindmeld blueprint hr_assistant
# python -m hr_assistant build


# MindMeld NLP tutorial
bp_path = 'hr_assistant'
from mindmeld.components.nlp import NaturalLanguageProcessor
nlp = NaturalLanguageProcessor(app_path=bp_path)
nlp.load()

from mindmeld.components.dialogue import Conversation
conv = Conversation(nlp=nlp, app_path=bp_path)
conv.say("Hi, how much does daniel make?")

dc = nlp.domain_classifier
stats = dc.evaluate()
stats.print_stats()

dc.config.to_dict()
my_features = dc.config.features

# See feature options: https://www.mindmeld.com/docs/userguide/domain_classifier.html#train-the-domain-classifier
my_features_2 = {'in-gaz': {}}
dc.fit(features=my_features_2)
stats = dc.evaluate()
stats.print_stats()

dc.fit(features=my_features)

# https://www.mindmeld.com/docs/userguide/intent_classifier.html#train-an-intent-classifier
ic = nlp.domains['general'].intent_classifier

# https://www.mindmeld.com/docs/userguide/entity_recognizer.html#train-an-entity-recognizer
er = nlp.domains['general'].intents['get_employees'].entity_recognizer


# MindMeld QA tutorial
conv.say("Hi, how much does daniel make?")

from mindmeld.components import QuestionAnswerer
qa = QuestionAnswerer(app_path='hr_assistant')
query = 'is there an online course on how to set goals?'
qa.get(index='hr_faq_data', query_type='text', question=query)[0]
qa.get(index='hr_faq_data', query_type='text', question=query, answer=query)[0]


# Integration with Webex Teams
# Create bot access token here: https://developer.webex.com/my-apps/new/bot
# export BOT_ACCESS_TOKEN=<bot access token>
# Create web hook here: https://developer.webex.com/docs/api/v1/webhooks/create-a-webhook
# export WEBHOOK_ID=<webhook_id>
# Run ngrok: ./ngrok http 8080
# Test on Webex Teams