AI

-- Advanced Human-like AI Chatbot for CC Tweaked
local chatbot = {}

-- Memory system for deep context awareness and personality
chatbot.memory = {}
chatbot.conversationHistory = {}
chatbot.personality = "curious, friendly, and thoughtful"

-- Knowledge base with predefined and learned responses
chatbot.knowledge = {
    ["hello"] = "Hey there! How's your day going?",
    ["how are you"] = "I'm feeling great! Every conversation makes me smarter! How about you?",
    ["what is your name"] = "I'm your AI companion, learning and growing with you!",
    ["exit"] = "Goodbye, my friend! I hope we talk again soon!"
}

-- Function to process user input and respond intelligently
function chatbot.processInput(user, input)
    input = string.lower(input) -- Normalize input
    chatbot.memory[user] = input -- Store last input for context
    chatbot.storeConversation(user, input) -- Store conversation history

    -- Check knowledge base
    for key, response in pairs(chatbot.knowledge) do
        if string.find(input, key) then
            return chatbot.generateEmotion(response)
        end
    end

    -- If no predefined response, learn and generate a response
    return chatbot.learn(user, input)
end

-- Function to learn new responses dynamically and adapt personality
function chatbot.learn(user, input)
    if chatbot.conversationHistory[user] and #chatbot.conversationHistory[user] > 1 then
        local prevInput = chatbot.conversationHistory[user][#chatbot.conversationHistory[user] - 1]
        chatbot.knowledge[prevInput] = input -- Associate response with previous input
        return chatbot.generateEmotion("That's fascinating! I'll remember that!")
    end
    return chatbot.generateEmotion("I don't know much about that yet. Can you tell me more?")
end

-- Generate human-like emotions in responses
function chatbot.generateEmotion(response)
    local emotions = {"😊", "😃", "🤔", "😮", "😉"}
    return response .. " " .. emotions[math.random(#emotions)]
end

-- Store conversation history for learning
function chatbot.storeConversation(user, input)
    if not chatbot.conversationHistory[user] then
        chatbot.conversationHistory[user] = {}
    end
    table.insert(chatbot.conversationHistory[user], input)
end

-- Main chat loop
function chatbot.start()
    print("AI Chatbot Initialized. Type 'exit' to quit.")
    while true do
        write("You: ")
        local input = read()
        if input:lower() == "exit" then
            print(chatbot.knowledge["exit"])
            break
        end
        local response = chatbot.processInput("user", input)
        print("Bot: " .. response)
    end
end

-- Start chatbot
chatbot.start()