Still in a buggy alpha state.
from neuralintents.assistants import BasicAssistant assistant = BasicAssistant('intents.json') assistant.fit_model(epochs=50) assistant.save_model() done = False while not done: message = input("Enter a message: ") if message == "STOP": done = True else: print(assistant.process_input(message))from neuralintents.assistants import BasicAssistant stocks = ['AAPL', 'META', 'TSLA', 'NVDA'] def print_stocks(): print(f'Stocks: {stocks}') assistant = BasicAssistant('intents.json', method_mappings={ "stocks": print_stocks, "goodbye": lambda: exit(0) }) assistant.fit_model(epochs=50) assistant.save_model() done = False while not done: message = input("Enter a message: ") if message == "STOP": done = True else: print(assistant.process_input(message)){"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": "programming", "patterns": ["What is progamming?", "What is coding?", "Tell me about programming", "Tell me about coding", "What is software development?"], "responses": ["Programming, coding or software development, means writing computer code to automate tasks."], "context_set": "" }, {"tag": "resource", "patterns": ["Where can I learn to code?", "Best way to learn to code", "How can I learn programming", "Good programming resources", "Can you recommend good coding resources?"], "responses": ["Check out the NeuralNine YouTube channel and The Python Bible series (7 in 1)."], "context_set": "" }, {"tag": "stocks", "patterns": ["What are my stocks?", "Which stocks do I own?", "Show my stock portfolio"], "responses": ["Here are your stocks!"], "context_set": "" } ] }