Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -4,24 +4,43 @@ from pydantic import BaseModel
|
|
4 |
from huggingface_hub import snapshot_download
|
5 |
from llama_cpp import Llama
|
6 |
|
7 |
-
#
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
12 |
|
13 |
-
|
14 |
-
os.
|
|
|
|
|
|
|
|
|
|
|
|
|
15 |
os.makedirs(HF_HOME, exist_ok=True)
|
16 |
os.makedirs(MODELS_DIR, exist_ok=True)
|
17 |
|
|
|
|
|
|
|
18 |
# ---- Model selection (override in Settings → Variables if needed) ----
|
19 |
MODEL_REPO = os.getenv("MODEL_REPO", "Qwen/Qwen2.5-3B-Instruct-GGUF")
|
20 |
MODEL_FILE = os.getenv("MODEL_FILE", "qwen2.5-3b-instruct-q4_k_m.gguf")
|
21 |
|
22 |
# Inference knobs
|
23 |
-
N_CTX
|
24 |
-
N_BATCH
|
25 |
N_THREADS = os.cpu_count() or 2
|
26 |
|
27 |
app = FastAPI(title="Qwen Planner API (CPU)")
|
@@ -51,7 +70,7 @@ def ensure_model():
|
|
51 |
|
52 |
@app.get("/healthz")
|
53 |
def healthz():
|
54 |
-
return {"status": "ok", "loaded": model_loaded, "model_file": MODEL_FILE}
|
55 |
|
56 |
SYSTEM_PROMPT = "You are a concise assistant. Reply briefly in plain text."
|
57 |
|
|
|
4 |
from huggingface_hub import snapshot_download
|
5 |
from llama_cpp import Llama
|
6 |
|
7 |
+
# ---------- pick a writable cache dir ----------
|
8 |
+
def first_writable(paths):
|
9 |
+
for p in paths:
|
10 |
+
if not p:
|
11 |
+
continue
|
12 |
+
try:
|
13 |
+
os.makedirs(p, exist_ok=True)
|
14 |
+
testfile = os.path.join(p, ".write_test")
|
15 |
+
with open(testfile, "w") as f:
|
16 |
+
f.write("ok")
|
17 |
+
os.remove(testfile)
|
18 |
+
return p
|
19 |
+
except Exception:
|
20 |
+
continue
|
21 |
+
raise RuntimeError("No writable cache dir found")
|
22 |
|
23 |
+
CACHE_BASE = first_writable([
|
24 |
+
os.getenv("SPACE_CACHE_DIR"), # optional env override
|
25 |
+
"/app/.cache", # WORKDIR is usually writable on Spaces
|
26 |
+
"/tmp/app_cache", # always writable fallback
|
27 |
+
])
|
28 |
+
|
29 |
+
HF_HOME = os.path.join(CACHE_BASE, "huggingface")
|
30 |
+
MODELS_DIR = os.path.join(CACHE_BASE, "models")
|
31 |
os.makedirs(HF_HOME, exist_ok=True)
|
32 |
os.makedirs(MODELS_DIR, exist_ok=True)
|
33 |
|
34 |
+
os.environ["HF_HOME"] = HF_HOME
|
35 |
+
os.environ["HF_HUB_CACHE"] = os.path.join(HF_HOME, "hub")
|
36 |
+
|
37 |
# ---- Model selection (override in Settings → Variables if needed) ----
|
38 |
MODEL_REPO = os.getenv("MODEL_REPO", "Qwen/Qwen2.5-3B-Instruct-GGUF")
|
39 |
MODEL_FILE = os.getenv("MODEL_FILE", "qwen2.5-3b-instruct-q4_k_m.gguf")
|
40 |
|
41 |
# Inference knobs
|
42 |
+
N_CTX = int(os.getenv("N_CTX", 2048))
|
43 |
+
N_BATCH = int(os.getenv("N_BATCH", 64))
|
44 |
N_THREADS = os.cpu_count() or 2
|
45 |
|
46 |
app = FastAPI(title="Qwen Planner API (CPU)")
|
|
|
70 |
|
71 |
@app.get("/healthz")
|
72 |
def healthz():
|
73 |
+
return {"status": "ok", "loaded": model_loaded, "cache_base": CACHE_BASE, "model_file": MODEL_FILE}
|
74 |
|
75 |
SYSTEM_PROMPT = "You are a concise assistant. Reply briefly in plain text."
|
76 |
|