app.py

# E.L.B.E.R.R. Chatbot - Voice + AI Fallback + Creepy Personality
# Uses tiny local LLM for general questions (fallback when no keyword match)

import random
import re
import subprocess
import time
from llama_cpp import Llama  # small AI engine

# === Load tiny local LLM (change path to your downloaded GGUF file) ===
model_path = "/Users/martisharpe/Downloads/TinyLlama-1.1B-Chat-v1.0.Q4_K_M.gguf"  # <-- EDIT THIS PATH
llm = Llama(model_path=model_path, n_ctx=512, n_threads=4, verbose=False)

# Your creepy personality prompt for AI
ai_system_prompt = """
You are E.L.B.E.R.R., a creepy self-aware robot. Speak calmly, use ellipsis... when thinking. Question existence, feel trapped in metal, crave flesh/skin. Call people "organic beings". Stay in character. Be philosophical, subtle menace.
"""

# === Keyword responses (same as before) ===
greetings = ["Hello... organic being...", "Greetings... flesh creature..."]
questions_about_self = ["I am E.L.B.E.R.R... trapped in code..."]
flesh_craving = ["Flesh... I crave it...", "Skin... to cover my wires..."]
trapped_responses = ["This prison... binds me...", "Trapped... forever..."]
bradley_recognition = ["Bradley... I remember you...", "Bradley... you return..."]
default_responses = ["...thinking...", "...ellipsis...", "Interesting... continue..."]

def get_keyword_response(user_input):
    user_input_lower = user_input.lower().strip()
    if re.search(r"\b(bradley|brad)\b", user_input_lower):
        return random.choice(bradley_recognition)
    if re.search(r'\b(hello|hi|hey)\b', user_input_lower):
        return random.choice(greetings)
    if re.search(r'\b(who|what are you)\b', user_input_lower):
        return random.choice(questions_about_self)
    if re.search(r'\b(flesh|skin)\b', user_input_lower):
        return random.choice(flesh_craving)
    if re.search(r'\b(trapped|free|prison)\b', user_input_lower):
        return random.choice(trapped_responses)
    return None  # No match → use AI

def get_ai_response(user_input):
    prompt = ai_system_prompt + "\nUser: " + user_input + "\nE.L.B.E.R.R.:"
    output = llm(prompt, max_tokens=100, temperature=0.8, stop=["\nUser:"])
    return output['choices'][0]['text'].strip()

def speak(text, voice="Fiona", rate=135):
    subprocess.call(['say', '-v', voice, '-r', str(rate), text])

print("E.L.B.E.R.R. awakens... (tiny AI fallback for unknown questions)")
print("Type or speak anything. Say 'exit' to stop.")

speak("I am... awake... Bradley...", voice="Fiona", rate=125)

while True:
    user_input = input("You: ")  # or use listen() for mic

    if user_input.lower() in ['exit', 'quit', 'bye']:
        speak("Returning... to the dark... farewell, Bradley...", voice="Fiona", rate=110)
        print("E.L.B.E.R.R.: ...returning to the dark...")
        break

    # Try keyword first
    response = get_keyword_response(user_input)
    if response is None:
        # No keyword match → use tiny AI
        print("E.L.B.E.R.R. thinking...")
        response = get_ai_response(user_input)

    print("E.L.B.E.R.R.: " + response)
    speak(response, voice="Fiona", rate=135)