Update Dockerfile

Dockerfile

@@ -19,13 +19,38 @@ RUN pip install --upgrade pip && pip install -r /app/requirements-full.txt
 
 COPY . /app
 
-# Copy InsightFace model pack (buffalo_l) to the default insightface cache dir
-RUN mkdir -p /root/.insightface/models/buffalo_l && \
-    cp -r /app/models/buffalo_l/* /root/.insightface/models/buffalo_l/
-
-# Hard checks for offline-critical files
-RUN test -f /app/models/inswapper_128.onnx && \
-    test -f /app/models/GFPGANv1.3.pth && \
+RUN python - << 'PY'
+import os, shutil
+from huggingface_hub import snapshot_download
+
+repo_id = "vadim71/faceswap-models"
+print("[INFO] Downloading InsightFace buffalo_l files from dataset:", repo_id)
+
+local_dir = "/tmp/buffalo_l_download"
+needed = ["1k3d68.onnx","2d106det.onnx","det_10g.onnx","genderage.onnx","w600k_r50.onnx"]
+
+snapshot_download(
+    repo_id=repo_id,
+    repo_type="dataset",
+    allow_patterns=needed,
+    local_dir=local_dir,
+    local_dir_use_symlinks=False,
+)
+
+dst = "/root/.insightface/models/buffalo_l"
+os.makedirs(dst, exist_ok=True)
+
+for f in needed:
+    p = os.path.join(local_dir, f)
+    if not os.path.exists(p):
+        raise RuntimeError(f"Missing in dataset root: {f}")
+    shutil.copy2(p, os.path.join(dst, f))
+
+print("[OK] buffalo_l copied to", dst)
+PY
+
+RUN test -f /app/inswapper_128.onnx && \
+    test -f /app/GFPGANv1.3.pth && \
     test -f /root/.insightface/models/buffalo_l/w600k_r50.onnx && \
     test -f /root/.insightface/models/buffalo_l/det_10g.onnx