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fix: use MODELS_PATH env var for AI model paths instead of hardcoded /opt/models

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The on-demand feature download system stores models at /data/ai/models/
(set via MODELS_PATH env var), but all Python scripts hardcoded
/opt/models/ as the base path. Each script now reads MODELS_PATH and
falls back to /opt/models for backward compatibility.
This commit is contained in:
ashim-hq
2026-04-18 10:17:01 +08:00
parent 28462c8f60
commit d7b6037b3d
9 changed files with 36 additions and 19 deletions
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packages/ai/python/inpaint.py
+2 -1
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@@ -12,7 +12,8 @@ def emit_progress(percent, stage):
# Resolve the LaMa ONNX model path.
# Docker places it at /opt/models/lama/lama_fp32.onnx.
# For local dev, check a user-writable cache dir.
LAMA_MODEL_DIR = os.environ.get("LAMA_MODEL_DIR", "/opt/models/lama")
_MODELS_BASE = os.environ.get("MODELS_PATH", "/opt/models")
LAMA_MODEL_DIR = os.environ.get("LAMA_MODEL_DIR", os.path.join(_MODELS_BASE, "lama"))
LAMA_MODEL_PATH = os.path.join(LAMA_MODEL_DIR, "lama_fp32.onnx")
LAMA_LOCAL_CACHE = os.path.join(os.path.expanduser("~"), ".cache", "ashim", "lama")
LAMA_LOCAL_PATH = os.path.join(LAMA_LOCAL_CACHE, "lama_fp32.onnx")