Update Dockerfile

Dockerfile

@@ -1,12 +1,5 @@
 FROM pytorch/pytorch:2.2.2-cuda12.1-cudnn8-runtime
 
-# Accept HF token as build argument and set as environment variable
-ARG HF_TOKEN
-ENV HF_TOKEN=${HF_TOKEN}
-
-# Debug print (you can remove this later)
-RUN python -c "import os; print('✅ HF_TOKEN set' if os.getenv('HF_TOKEN') else '❌ HF_TOKEN missing')"
-
 # Install OS-level dependencies
 RUN apt-get update && apt-get install -y \
     git ffmpeg curl unzip \
@@ -25,13 +18,13 @@ RUN pip install gdown av huggingface_hub
 RUN pip install -r requirements.txt
 RUN pip install --no-binary :all: av  # optional: rebuild av from source
 
-# Download ckpt weights from Hugging Face (private or public)
-RUN python -c "import os; from huggingface_hub import snapshot_download; snapshot_download(    repo_id='roll-ai/FloVD-weights',     repo_type='dataset',     local_dir='/app/ckpt',     allow_patterns='ckpt/**',     token=os.getenv('HF_TOKEN'))"
+# # Download ckpt weights from Hugging Face (private or public)
+# RUN python -c "import os; from huggingface_hub import snapshot_download; snapshot_download(    repo_id='roll-ai/FloVD-weights',     repo_type='dataset',     local_dir='/app/ckpt',     allow_patterns='ckpt/**',     token=os.getenv('HF_TOKEN'))"
 
 
-# Download example camera pose
-RUN mkdir -p /weights/assets/manual_poses
-RUN curl -L -o /weights/assets/manual_poses/example.txt https://huggingface.co/datasets/mutqa/FloVD-HF-Assets/resolve/main/example.txt
+# # Download example camera pose
+# RUN mkdir -p /weights/assets/manual_poses
+# RUN curl -L -o /weights/assets/manual_poses/example.txt https://huggingface.co/datasets/mutqa/FloVD-HF-Assets/resolve/main/example.txt
 
 # Set permissions (optional but helpful)
 RUN chmod -R 777 /app