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6bbf552 5bdf0f6 6bbf552 a8afc36 3780aa5 6bbf552 8c897f9 3625c13 8c897f9 6bbf552 b483ca7 6bbf552 a8afc36 6bbf552 3780aa5 6bbf552 a8afc36 5bdf0f6 a8afc36 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 | import os
from art import ArtClient, DiffusersImageClient, LazyArtClient, ModalArtClient
from boss import BossClient, NemotronBossClient
from generator import CardPackClient, LlamaCppCardClient, MiniCPMCardClient
from local_llm import (
LocalChatClient,
LocalCompletionClient,
LocalJsonChatClient,
MLXChatClient,
MiniCPMTransformersChatClient,
NemotronTransformersChatClient,
nemotron_prompt,
)
DEFAULT_CARD_ENDPOINT = "http://localhost:8080/v1/chat/completions"
DEFAULT_LLAMA_CARD_ENDPOINT = "http://127.0.0.1:8090/v1/chat/completions"
DEFAULT_BOSS_ENDPOINT = "http://localhost:8081/v1/chat/completions"
DEFAULT_BOSS_COMPLETION_ENDPOINT = "http://localhost:8081/v1/completions"
DEFAULT_CARD_MODEL = "minicpm-v-4.6"
DEFAULT_BOSS_MODEL = "nvidia/Nemotron-Mini-4B-Instruct"
DEFAULT_MINICPM_MODEL = "openbmb/MiniCPM-V-4"
DEFAULT_MLX_BOSS_MODEL = "mlx-community/Nemotron-Mini-4B-Instruct-4bit-mlx"
DEFAULT_ART_MODEL = "stabilityai/sdxl-turbo"
_art_client_cache: ArtClient | None = None
# Cache the expensive Transformers MiniCPM load so the card client is not rebuilt
# (which would reload the model from disk) on every handler and timer tick.
_minicpm_chat_cache: dict[tuple, object] = {}
# Configure model backends from MODE. LOCAL (default) runs the models on your own
# hardware (Transformers + Diffusers, in-process); MODAL calls the Modal GPU
# endpoints over HTTP (used on the Hugging Face Space). Individual TABRAS_* vars
# still override these defaults.
def configure_mode() -> str:
mode = os.environ.get("MODE", "LOCAL").upper()
if mode == "MODAL":
os.environ.setdefault("TABRAS_CARD_BACKEND", "llamacpp")
os.environ.setdefault("TABRAS_CARD_MODEL", "minicpm")
os.environ.setdefault("TABRAS_CARD_TIMEOUT", "120")
os.environ.setdefault("TABRAS_BOSS_BACKEND", "openai")
os.environ.setdefault("TABRAS_BOSS_MODEL", "nemotron")
os.environ.setdefault("TABRAS_BOSS_TIMEOUT", "120")
os.environ.setdefault("TABRAS_ART_BACKEND", "modal")
else:
os.environ.setdefault("TABRAS_CARD_BACKEND", "transformers")
os.environ.setdefault("TABRAS_CARD_MODEL", DEFAULT_MINICPM_MODEL)
os.environ.setdefault("TABRAS_BOSS_BACKEND", "transformers")
os.environ.setdefault("TABRAS_BOSS_MODEL", DEFAULT_BOSS_MODEL)
os.environ.setdefault("TABRAS_ART_BACKEND", "diffusers")
os.environ.setdefault("TABRAS_ART_MODEL", DEFAULT_ART_MODEL)
os.environ.setdefault("TABRAS_AI_BOSS", "1")
os.environ.setdefault("TABRAS_CARD_TEMPERATURE", "0.7")
os.environ.setdefault("TABRAS_CARD_MAX_TOKENS", "320")
os.environ.setdefault("TABRAS_BOSS_MAX_TOKENS", "96")
os.environ.setdefault("TABRAS_ART_STEPS", "4")
return mode
# Build a card-generation client from environment variables.
def card_client_from_env() -> CardPackClient | None:
if os.environ.get("TABRAS_CARD_BACKEND") == "llamacpp":
return LlamaCppCardClient(
LocalJsonChatClient(
endpoint=os.environ.get("TABRAS_CARD_ENDPOINT", DEFAULT_LLAMA_CARD_ENDPOINT),
model=os.environ.get("TABRAS_CARD_MODEL", DEFAULT_CARD_MODEL),
timeout_seconds=int(os.environ.get("TABRAS_CARD_TIMEOUT", "60")),
temperature=float(os.environ.get("TABRAS_CARD_TEMPERATURE", "0.0")),
max_tokens=int(os.environ.get("TABRAS_CARD_MAX_TOKENS", "320")),
)
)
if os.environ.get("TABRAS_CARD_BACKEND") == "transformers":
model_path = os.environ.get("TABRAS_CARD_MODEL", DEFAULT_MINICPM_MODEL)
key = (
model_path,
int(os.environ.get("TABRAS_CARD_MAX_TOKENS", "320")),
float(os.environ.get("TABRAS_CARD_TEMPERATURE", "0.7")),
)
chat = _minicpm_chat_cache.get(key)
if chat is None:
chat = MiniCPMTransformersChatClient.load(model_path, max_new_tokens=key[1], temperature=key[2])
_minicpm_chat_cache[key] = chat
return MiniCPMCardClient(chat)
if os.environ.get("TABRAS_CARD_ENDPOINT") is None:
return None
return MiniCPMCardClient(
LocalChatClient(
endpoint=os.environ.get("TABRAS_CARD_ENDPOINT", DEFAULT_CARD_ENDPOINT),
model=os.environ.get("TABRAS_CARD_MODEL", DEFAULT_CARD_MODEL),
timeout_seconds=int(os.environ.get("TABRAS_CARD_TIMEOUT", "60")),
temperature=float(os.environ.get("TABRAS_CARD_TEMPERATURE", "0.8")),
)
)
# Build a boss client from environment variables.
def boss_client_from_env() -> BossClient | None:
if os.environ.get("TABRAS_AI_BOSS") != "1":
return None
if os.environ.get("TABRAS_BOSS_BACKEND") == "completion":
return NemotronBossClient(
LocalCompletionClient(
endpoint=os.environ.get("TABRAS_BOSS_ENDPOINT", DEFAULT_BOSS_COMPLETION_ENDPOINT),
model=os.environ.get("TABRAS_BOSS_MODEL", DEFAULT_BOSS_MODEL),
prompt_template=nemotron_prompt,
timeout_seconds=int(os.environ.get("TABRAS_BOSS_TIMEOUT", "20")),
temperature=float(os.environ.get("TABRAS_BOSS_TEMPERATURE", "0.2")),
max_tokens=int(os.environ.get("TABRAS_BOSS_MAX_TOKENS", "256")),
)
)
if os.environ.get("TABRAS_BOSS_BACKEND") == "transformers":
chat = NemotronTransformersChatClient.load(
os.environ.get("TABRAS_BOSS_MODEL", DEFAULT_BOSS_MODEL),
max_new_tokens=int(os.environ.get("TABRAS_BOSS_MAX_TOKENS", "256")),
temperature=float(os.environ.get("TABRAS_BOSS_TEMPERATURE", "0.2")),
)
return NemotronBossClient(chat)
if os.environ.get("TABRAS_BOSS_BACKEND") == "mlx":
chat = MLXChatClient.load(
os.environ.get("TABRAS_BOSS_MODEL", DEFAULT_MLX_BOSS_MODEL),
nemotron_prompt,
max_tokens=int(os.environ.get("TABRAS_BOSS_MAX_TOKENS", "96")),
)
return NemotronBossClient(chat)
return NemotronBossClient(
LocalChatClient(
endpoint=os.environ.get("TABRAS_BOSS_ENDPOINT", DEFAULT_BOSS_ENDPOINT),
model=os.environ.get("TABRAS_BOSS_MODEL", DEFAULT_BOSS_MODEL),
timeout_seconds=int(os.environ.get("TABRAS_BOSS_TIMEOUT", "20")),
temperature=float(os.environ.get("TABRAS_BOSS_TEMPERATURE", "0.2")),
)
)
# Build an art-generation client from environment variables.
def art_client_from_env() -> ArtClient | None:
global _art_client_cache
backend = os.environ.get("TABRAS_ART_BACKEND")
if backend == "modal":
if _art_client_cache is None:
_art_client_cache = ModalArtClient(
endpoint=os.environ["TABRAS_ART_ENDPOINT"],
steps=int(os.environ.get("TABRAS_ART_STEPS", "4")),
guidance_scale=float(os.environ.get("TABRAS_ART_GUIDANCE", "0.0")),
width=int(os.environ.get("TABRAS_ART_WIDTH", "512")),
height=int(os.environ.get("TABRAS_ART_HEIGHT", "320")),
)
return _art_client_cache
if backend != "diffusers":
return None
if _art_client_cache is None:
model_id = os.environ.get("TABRAS_ART_MODEL", DEFAULT_ART_MODEL)
steps = int(os.environ.get("TABRAS_ART_STEPS", "1"))
guidance_scale = float(os.environ.get("TABRAS_ART_GUIDANCE", "0.0"))
width = int(os.environ.get("TABRAS_ART_WIDTH", "512"))
height = int(os.environ.get("TABRAS_ART_HEIGHT", "320"))
_art_client_cache = LazyArtClient(
lambda: DiffusersImageClient.load(
model_id,
steps=steps,
guidance_scale=guidance_scale,
width=width,
height=height,
)
)
return _art_client_cache
|