modules/config_settings_public.py

# FILE: modules/config_settings_public.py (Definitive Final Version)

import os
import sys
import logging
from huggingface_hub import hf_hub_download

logger = logging.getLogger("ZOTHEOS_Config")
if not logger.handlers:
    handler = logging.StreamHandler(sys.stdout)
    formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - [%(funcName)s] - %(message)s')
    handler.setFormatter(formatter)
    logger.addHandler(handler)
    logger.setLevel(logging.INFO)

# --- A more reliable way to detect if we are running in a Hugging Face Space ---
IS_WEB_MODE = os.path.exists("/home/user/app")

# --- Define Model Repositories and Filenames ONCE ---
MODEL_DEFINITIONS = {
    "mistral": {
        "repo_id": "TheBloke/Mistral-7B-Instruct-v0.2-GGUF",
        "filename": "mistral-7b-instruct-v0.2.Q4_K_M.gguf"
    },
    "gemma": {
        "repo_id": "google/gemma-2b-it-gguf",  # ✅✅✅ THE ONLY CHANGE IS THIS LINE (GGUF -> gguf) ✅✅✅
        "filename": "gemma-2b-it.Q4_K_M.gguf"
    },
    "qwen": {
        "repo_id": "Qwen/Qwen1.5-1.8B-Chat-GGUF",
        "filename": "qwen1.5-1.8b-chat.Q4_K_M.gguf"
    }
}

# --- Initialize MODEL_PATHS dictionary ---
MODEL_PATHS = {}

# --- Set up paths and GPU layers based on environment ---
if IS_WEB_MODE:
    logger.info("✅✅✅ RUNNING IN WEB MODE (Hugging Face Space) ✅✅✅")
    logger.info("Model paths will be resolved by hf_hub_download.")
    
    for name, model_info in MODEL_DEFINITIONS.items():
        logger.info(f"Downloading model: {name} from repo: {model_info['repo_id']}")
        try:
            MODEL_PATHS[name] = hf_hub_download(repo_id=model_info["repo_id"], filename=model_info["filename"])
            logger.info(f"✅ Successfully downloaded {name}.")
        except Exception as e:
            logger.error(f"❌ FAILED to download model {name}. Error: {e}")
            raise e

    N_GPU_LAYERS_FALLBACK = 0
    logger.info("N_GPU_LAYERS_FALLBACK forced to 0 for CPU-only web environment.")

else: # LOCAL MODE
    logger.info("✅✅✅ RUNNING IN LOCAL MODE (Desktop/PC) ✅✅✅")
    APP_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
    BASE_MODELS_DIR = os.path.join(APP_DIR, "models")
    logger.info(f"Models will be loaded from local directory: {BASE_MODELS_DIR}")
    for name, model_info in MODEL_DEFINITIONS.items():
        MODEL_PATHS[name] = os.path.join(BASE_MODELS_DIR, model_info["filename"])
    N_GPU_LAYERS_FALLBACK = -1
    logger.info("N_GPU_LAYERS_FALLBACK set to -1 for local GPU acceleration.")


# --- Shared Configurations ---
MAX_RAM_MODELS_GB = 23.8
MAX_CONCURRENT_MODELS = 3
N_CTX_FALLBACK = 2048
N_THREADS_FALLBACK = 8
VERBOSE_LLAMA_CPP = True

MODEL_SPECIFIC_PARAMS = {
    "mistral": { "chat_format": "mistral-instruct" },
    "gemma": { "chat_format": "gemma" },
    "qwen": { "chat_format": "chatml" },
    "_default": {
        "f16_kv": True, "use_mmap": True, "use_mlock": False,
        "verbose": VERBOSE_LLAMA_CPP,
        "n_gpu_layers": N_GPU_LAYERS_FALLBACK,
        "n_threads": N_THREADS_FALLBACK,
        "n_ctx": N_CTX_FALLBACK
    }
}

INFERENCE_PRESETS = {
    "balanced": {"temperature": 0.7, "top_p": 0.9, "top_k": 40, "repeat_penalty": 1.1, "mirostat_mode": 0, "max_tokens": 1024},
    "precise": {"temperature": 0.2, "top_p": 0.7, "top_k": 20, "repeat_penalty": 1.05, "mirostat_mode": 0, "max_tokens": 1536},
    "creative": {"temperature": 0.9, "top_p": 0.95, "top_k": 60, "repeat_penalty": 1.15, "mirostat_mode": 2, "mirostat_tau": 4.0, "mirostat_eta": 0.1, "max_tokens": 1024},
    "passthrough": {}
}
DEFAULT_INFERENCE_PRESET = "balanced"

DEFAULT_SYSTEM_PROMPT = "You are ZOTHEOS, an ethical AI developed to help humanity. Provide clear, concise, and helpful responses. Be respectful and avoid harmful content."
SYSTEM_PERSONAS = {
    "default": DEFAULT_SYSTEM_PROMPT, "helpful_assistant": "You are a helpful AI assistant.", "philosopher": "You are an AI philosopher.",
    "coder": "You are an expert AI programmer.", "concise_summarizer": "You are an AI tasked with providing very concise summaries."
}
MODEL_ROLES = {"mistral": "analyst", "gemma": "humanist", "qwen": "skeptic"}
MODEL_ROLE_SYSTEM_PROMPTS = {
    "analyst": "You are an impartial analyst.", "humanist": "You are a human-centered assistant.",
    "skeptic": "You are a critical evaluator and a respectful skeptic.", "general": DEFAULT_SYSTEM_PROMPT
}

ZOTHEOS_VERSION = "Public Beta 1.8 (Live)"
logger.info(f"Config settings loaded. Version: {ZOTHEOS_VERSION}")
logger.info(f"Web Mode: {IS_WEB_MODE}")