So far, you’ve learnt about the domain file (where you specify the slots, templates, actions, intents and entities) and the dialogue training data file (the conversation stories)
Actions: There are two types of actions a bot can take:
- Utterance actions:The bot just send a text message to the user. For example replying with a great message, asking the location,etc
- Custom actions: Actions such as querying the database,sending emails to the user ,etc. If you want the bot to perform a custom action, you need to add that action in your domain file as well.
You can go here to read more on how to define custom actions
Querying the Zomato API
Note that you will need to get your unique access key to use the zomatopy API. You can generate an API key from here (max 1000 API calls/day).
Once you generate the API key, you can query the API using the zomatopy module. The following sample code shows how to get a restaurant list for a particular location and cuisine, try playing with it after getting your access key:
zomato = zomatopy.initialize_app(config)
# get_location gets the lat-long coordinates of 'loc'
location_detail=zomato.get_location(loc, 1)
# store retrieved data as a dict
d1 = json.loads(location_detail)
# separate lat-long coordinates
lat=d1["location_suggestions"][0]["latitude"]
lon=d1["location_suggestions"][0]["longitude"]
# cuisines code (used by zomatopy)
cuisines_dict={'bakery':5,'chinese':25,'cafe':30,'italian':55,'biryani':7,'north indian':50,'south indian':85}
# fetch and print results
results=zomato.restaurant_search("", lat, lon, str(cuisines_dict.get(cuisine)), 5)
d = json.loads(results)
pprint.pprint(d)
Now you are ready to train the dialogue management model using stories. In the next segment, you’ll see how to do that.