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fix: use MODELS_PATH env var for AI model paths instead of hardcoded /opt/models
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.
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@@ -11,8 +11,10 @@ def emit_progress(percent, stage):
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# ── Model path for new mp.tasks API ─────────────────────────────────
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_MODELS_BASE = os.environ.get("MODELS_PATH", "/opt/models")
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_FACE_DETECT_MODEL_URL = "https://storage.googleapis.com/mediapipe-models/face_detector/blaze_face_short_range/float16/latest/blaze_face_short_range.tflite"
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_DOCKER_MODEL_PATH = "/opt/models/mediapipe/blaze_face_short_range.tflite"
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_DOCKER_MODEL_PATH = os.path.join(_MODELS_BASE, "mediapipe", "blaze_face_short_range.tflite")
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_LOCAL_MODEL_DIR = os.path.join(os.path.dirname(__file__), "..", "..", "..", ".models")
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_LOCAL_MODEL_PATH = os.path.join(_LOCAL_MODEL_DIR, "blaze_face_short_range.tflite")
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