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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/upscale.py
+4 -2
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@@ -26,14 +26,16 @@ def emit_progress(percent, stage):
print(json.dumps({"progress": percent, "stage": stage}), file=sys.stderr, flush=True)
_MODELS_BASE = os.environ.get("MODELS_PATH", "/opt/models")
REALESRGAN_MODEL_PATH = os.environ.get(
"REALESRGAN_MODEL_PATH",
"/opt/models/realesrgan/RealESRGAN_x4plus.pth",
os.path.join(_MODELS_BASE, "realesrgan", "RealESRGAN_x4plus.pth"),
)
GFPGAN_MODEL_PATH = os.environ.get(
"GFPGAN_MODEL_PATH",
"/opt/models/gfpgan/GFPGANv1.3.pth",
os.path.join(_MODELS_BASE, "gfpgan", "GFPGANv1.3.pth"),
)