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@@ -7,7 +7,6 @@ ENV PYTHONDONTWRITEBYTECODE=1
 
 # Tell HuggingFace where to cache downloaded models (ViT, BERT)
 ENV HF_HOME=/app/.cache/huggingface
-ENV TRANSFORMERS_CACHE=/app/.cache/huggingface
 
 # Set working directory
 WORKDIR /app

requirements.txt

@@ -31,7 +31,7 @@ mediapipe==0.10.14
 
 # === Phase 12: Explainability v2 ===
 exifread==3.0.0
-google-generativeai>=0.3.0    # Gemini provider for LLM explainability
+google-genai>=0.1.0    # New Gemini SDK (replaces google-generativeai)
 openai>=1.0.0                 # OpenAI provider (alternative to Gemini)
 
 # === Phase 14: PDF v2 donut chart ===
@@ -55,6 +55,8 @@ xhtml2pdf==0.2.16
 
 # === Phase 8: Auth ===
 email-validator==2.2.0
+reportlab==4.2.5        # Fallback PDF generation
+scikit-learn>=1.5.0     # Required for Isotonic Calibrator in EfficientNet
 
 # === Phase 15: Security Hardening ===
 slowapi==0.1.9

schemas/common.py

@@ -61,6 +61,8 @@ class ExifSummary(BaseModel):
 
 
 class LLMExplainabilitySummary(BaseModel):
+    model_config = ConfigDict(protected_namespaces=())
+
     paragraph: str = ""
     bullets: List[str] = []
     model_used: str = ""
@@ -73,6 +75,8 @@ class VLMComponentScore(BaseModel):
 
 
 class VLMBreakdown(BaseModel):
+    model_config = ConfigDict(protected_namespaces=())
+
     facial_symmetry: VLMComponentScore = VLMComponentScore()
     skin_texture: VLMComponentScore = VLMComponentScore()
     lighting_consistency: VLMComponentScore = VLMComponentScore()

services/efficientnet_service.py

@@ -22,10 +22,8 @@ if str(_ICPR_ROOT) not in sys.path:
 if _NOTEBOOK_DIR not in sys.path:
     sys.path.insert(0, _NOTEBOOK_DIR)
 
-# These imports are valid only after the sys.path patch above.
-from blazeface import BlazeFace, FaceExtractor  # noqa: E402
-from architectures import fornet, weights  # noqa: E402
-from isplutils import utils as ispl_utils  # noqa: E402
+# These imports must be handled carefully as they rely on the sys.path patch above.
+# We move them inside the class or use dynamic imports to ensure stability on HF.
 
 # Default calibrator path — populated by scripts/fit_calibrator.py.
 _CALIBRATOR_PATH = Path(__file__).resolve().parent.parent / "models" / "efficientnet_calibrator.pkl"
@@ -61,6 +59,11 @@ class EfficientNetDetector:
         device: str = "cpu",
         calibrator_path: Optional[Path] = None,
     ) -> None:
+        # Dynamic imports to ensure sys.path patching is active
+        from blazeface import BlazeFace, FaceExtractor
+        from architectures import fornet, weights
+        from isplutils import utils as ispl_utils
+
         self.device = torch.device(device)
         self.model_name = model_name
         self.train_db = train_db