Spaces:
Sleeping
Sleeping
Update main.py
Browse files
main.py
CHANGED
|
@@ -6,20 +6,25 @@
|
|
| 6 |
# Apache License V2 + ESOL 1.1
|
| 7 |
# =============================================================================
|
| 8 |
# Hub connects via:
|
| 9 |
-
# base_url = "https://codey-lab-
|
| 10 |
# β POST /v1/chat/completions (OpenAI-compatible)
|
| 11 |
# β GET /v1/health (status check)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
# =============================================================================
|
| 13 |
|
| 14 |
import logging
|
|
|
|
| 15 |
import time
|
| 16 |
import uuid
|
| 17 |
from contextlib import asynccontextmanager
|
|
|
|
| 18 |
|
| 19 |
-
from fastapi import FastAPI,
|
| 20 |
-
from fastapi.responses import JSONResponse
|
| 21 |
from pydantic import BaseModel
|
| 22 |
-
from typing import List, Optional
|
| 23 |
|
| 24 |
import smollm
|
| 25 |
import model as model_module
|
|
@@ -34,13 +39,28 @@ logger = logging.getLogger("main")
|
|
| 34 |
# ββ ADI βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 35 |
adi_analyzer = DumpindexAnalyzer(enable_logging=False)
|
| 36 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
|
| 38 |
# ββ Startup βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 39 |
@asynccontextmanager
|
| 40 |
async def lifespan(app: FastAPI):
|
| 41 |
logger.info("=== SmolLM2 Service starting ===")
|
| 42 |
logger.info(f"Model config: {model_module.status()}")
|
| 43 |
-
smollm.load()
|
| 44 |
yield
|
| 45 |
logger.info("=== SmolLM2 Service stopped ===")
|
| 46 |
|
|
@@ -56,19 +76,11 @@ class Message(BaseModel):
|
|
| 56 |
content: str
|
| 57 |
|
| 58 |
class ChatCompletionRequest(BaseModel):
|
| 59 |
-
model: Optional[str]
|
| 60 |
messages: List[Message]
|
| 61 |
-
max_tokens: Optional[int]
|
| 62 |
temperature: Optional[float] = 0.2
|
| 63 |
-
stream: Optional[bool]
|
| 64 |
-
|
| 65 |
-
class ChatCompletionResponse(BaseModel):
|
| 66 |
-
id: str
|
| 67 |
-
object: str = "chat.completion"
|
| 68 |
-
created: int
|
| 69 |
-
model: str
|
| 70 |
-
choices: List[dict]
|
| 71 |
-
adi: Optional[dict] = None # ADI result attached to response
|
| 72 |
|
| 73 |
|
| 74 |
# =============================================================================
|
|
@@ -81,21 +93,29 @@ async def root():
|
|
| 81 |
"service": "SmolLM2 Service",
|
| 82 |
"model": smollm.device_info(),
|
| 83 |
"ready": smollm.is_ready(),
|
|
|
|
| 84 |
"docs": "/docs",
|
| 85 |
}
|
| 86 |
|
| 87 |
|
| 88 |
@app.get("/v1/health")
|
| 89 |
-
async def health():
|
|
|
|
| 90 |
return {
|
| 91 |
-
"status":
|
| 92 |
-
"device":
|
| 93 |
-
"model":
|
|
|
|
| 94 |
}
|
| 95 |
|
| 96 |
|
| 97 |
@app.post("/v1/chat/completions")
|
| 98 |
-
async def chat_completions(
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 99 |
if not req.messages:
|
| 100 |
raise HTTPException(status_code=400, detail="messages cannot be empty")
|
| 101 |
|
|
@@ -124,7 +144,6 @@ async def chat_completions(req: ChatCompletionRequest):
|
|
| 124 |
"Your request needs more detail before I can help. "
|
| 125 |
"Suggestions: " + " | ".join(adi_result["recommendations"])
|
| 126 |
)
|
| 127 |
-
# Log to dataset
|
| 128 |
model_module.push_log({
|
| 129 |
"prompt": user_prompt,
|
| 130 |
"system_prompt": system_prompt,
|
|
@@ -150,7 +169,6 @@ async def chat_completions(req: ChatCompletionRequest):
|
|
| 150 |
|
| 151 |
except Exception as e:
|
| 152 |
logger.warning(f"SmolLM2 failed: {type(e).__name__} οΏ½οΏ½ triggering hub fallback")
|
| 153 |
-
# Return 503 so hub's fallback chain kicks in
|
| 154 |
raise HTTPException(
|
| 155 |
status_code=503,
|
| 156 |
detail={
|
|
@@ -195,4 +213,4 @@ def _build_response(model: str, content: str, adi_result: dict) -> dict:
|
|
| 195 |
"decision": adi_result["decision"],
|
| 196 |
"metrics": adi_result["metrics"],
|
| 197 |
}
|
| 198 |
-
}
|
|
|
|
| 6 |
# Apache License V2 + ESOL 1.1
|
| 7 |
# =============================================================================
|
| 8 |
# Hub connects via:
|
| 9 |
+
# base_url = "https://codey-lab-smollm2-customs.hf.space/v1"
|
| 10 |
# β POST /v1/chat/completions (OpenAI-compatible)
|
| 11 |
# β GET /v1/health (status check)
|
| 12 |
+
#
|
| 13 |
+
# AUTH:
|
| 14 |
+
# Set API_KEY in HF Space Secrets to lock down the endpoint.
|
| 15 |
+
# Hub sends it as: Authorization: Bearer <API_KEY>
|
| 16 |
+
# If API_KEY not set β open access (dev mode, log warning)
|
| 17 |
# =============================================================================
|
| 18 |
|
| 19 |
import logging
|
| 20 |
+
import os
|
| 21 |
import time
|
| 22 |
import uuid
|
| 23 |
from contextlib import asynccontextmanager
|
| 24 |
+
from typing import List, Optional
|
| 25 |
|
| 26 |
+
from fastapi import FastAPI, Header, HTTPException
|
|
|
|
| 27 |
from pydantic import BaseModel
|
|
|
|
| 28 |
|
| 29 |
import smollm
|
| 30 |
import model as model_module
|
|
|
|
| 39 |
# ββ ADI βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 40 |
adi_analyzer = DumpindexAnalyzer(enable_logging=False)
|
| 41 |
|
| 42 |
+
# ββ API Key Auth ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 43 |
+
_API_KEY = os.environ.get("API_KEY", "")
|
| 44 |
+
if not _API_KEY:
|
| 45 |
+
logger.warning("API_KEY not set β running in open access mode!")
|
| 46 |
+
else:
|
| 47 |
+
logger.info("API_KEY set β endpoint is protected")
|
| 48 |
+
|
| 49 |
+
def _check_auth(authorization: Optional[str]) -> None:
|
| 50 |
+
"""Validate Bearer token. Skipped if API_KEY secret not set (dev mode)."""
|
| 51 |
+
if not _API_KEY:
|
| 52 |
+
return
|
| 53 |
+
if authorization != f"Bearer {_API_KEY}":
|
| 54 |
+
logger.warning("Unauthorized request β invalid or missing token")
|
| 55 |
+
raise HTTPException(status_code=401, detail="Unauthorized")
|
| 56 |
+
|
| 57 |
|
| 58 |
# ββ Startup βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 59 |
@asynccontextmanager
|
| 60 |
async def lifespan(app: FastAPI):
|
| 61 |
logger.info("=== SmolLM2 Service starting ===")
|
| 62 |
logger.info(f"Model config: {model_module.status()}")
|
| 63 |
+
smollm.load()
|
| 64 |
yield
|
| 65 |
logger.info("=== SmolLM2 Service stopped ===")
|
| 66 |
|
|
|
|
| 76 |
content: str
|
| 77 |
|
| 78 |
class ChatCompletionRequest(BaseModel):
|
| 79 |
+
model: Optional[str] = "smollm2-360m"
|
| 80 |
messages: List[Message]
|
| 81 |
+
max_tokens: Optional[int] = 150
|
| 82 |
temperature: Optional[float] = 0.2
|
| 83 |
+
stream: Optional[bool] = False
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 84 |
|
| 85 |
|
| 86 |
# =============================================================================
|
|
|
|
| 93 |
"service": "SmolLM2 Service",
|
| 94 |
"model": smollm.device_info(),
|
| 95 |
"ready": smollm.is_ready(),
|
| 96 |
+
"auth": "protected" if _API_KEY else "open",
|
| 97 |
"docs": "/docs",
|
| 98 |
}
|
| 99 |
|
| 100 |
|
| 101 |
@app.get("/v1/health")
|
| 102 |
+
async def health(authorization: Optional[str] = Header(None)):
|
| 103 |
+
_check_auth(authorization)
|
| 104 |
return {
|
| 105 |
+
"status": "ok" if smollm.is_ready() else "loading",
|
| 106 |
+
"device": smollm.device_info(),
|
| 107 |
+
"model": model_module.status(),
|
| 108 |
+
"auth": "protected" if _API_KEY else "open",
|
| 109 |
}
|
| 110 |
|
| 111 |
|
| 112 |
@app.post("/v1/chat/completions")
|
| 113 |
+
async def chat_completions(
|
| 114 |
+
req: ChatCompletionRequest,
|
| 115 |
+
authorization: Optional[str] = Header(None),
|
| 116 |
+
):
|
| 117 |
+
_check_auth(authorization)
|
| 118 |
+
|
| 119 |
if not req.messages:
|
| 120 |
raise HTTPException(status_code=400, detail="messages cannot be empty")
|
| 121 |
|
|
|
|
| 144 |
"Your request needs more detail before I can help. "
|
| 145 |
"Suggestions: " + " | ".join(adi_result["recommendations"])
|
| 146 |
)
|
|
|
|
| 147 |
model_module.push_log({
|
| 148 |
"prompt": user_prompt,
|
| 149 |
"system_prompt": system_prompt,
|
|
|
|
| 169 |
|
| 170 |
except Exception as e:
|
| 171 |
logger.warning(f"SmolLM2 failed: {type(e).__name__} οΏ½οΏ½ triggering hub fallback")
|
|
|
|
| 172 |
raise HTTPException(
|
| 173 |
status_code=503,
|
| 174 |
detail={
|
|
|
|
| 213 |
"decision": adi_result["decision"],
|
| 214 |
"metrics": adi_result["metrics"],
|
| 215 |
}
|
| 216 |
+
}
|