neuralintents
Still in a buggy alpha state.
Setting Up A Basic Assistant
from neuralintents import GenericAssistant
assistant = GenericAssistant('intents.json', model_name="test_model")
assistant.train_model()
assistant.save_model()
done = False
while not done:
message = input("Enter a message: ")
if message == "STOP":
done = True
else:
assistant.request(message)Binding Functions To Requests
from neuralintents import GenericAssistant
def function_for_greetings():
print("You triggered the greetings intent!")
# Some action you want to take
def function_for_stocks():
print("You triggered the stocks intent!")
# Some action you want to take
mappings = {'greeting' : function_for_greetings, 'stocks' : function_for_stocks}
assistant = GenericAssistant('intents.json', intent_methods=mappings ,model_name="test_model")
assistant.train_model()
assistant.save_model()
done = False
while not done:
message = input("Enter a message: ")
if message == "STOP":
done = True
else:
assistant.request(message)Sample intents.json File
{"intents": [
{"tag": "greeting",
"patterns": ["Hi", "How are you", "Is anyone there?", "Hello", "Good day", "Whats up", "Hey", "greetings"],
"responses": ["Hello!", "Good to see you again!", "Hi there, how can I help?"],
"context_set": ""
},
{"tag": "goodbye",
"patterns": ["cya", "See you later", "Goodbye", "I am Leaving", "Have a Good day", "bye", "cao", "see ya"],
"responses": ["Sad to see you go :(", "Talk to you later", "Goodbye!"],
"context_set": ""
},
{"tag": "stocks",
"patterns": ["what stocks do I own?", "how are my shares?", "what companies am I investing in?", "what am I doing in the markets?"],
"responses": ["You own the following shares: ABBV, AAPL, FB, NVDA and an ETF of the S&P 500 Index!"],
"context_set": ""
}
]
}