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Simple interface for working with intents and chatbots.

Project description

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": ""
  }
]
}

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