Update Dockerfile

Dockerfile

@@ -1,24 +1,23 @@
 FROM continuumio/miniconda3
 
-# 1. Set up user (Hugging Face Spaces recommends UID 1000)
+# 1. Set up user
 RUN useradd -m -u 1000 user
 
 # 2. Set Environment Variables
-# PATH: Ensures we use the conda python/pip/solara
-# LD_LIBRARY_PATH (NEW): Helps faiss-gpu find CUDA libraries without "conda activate"
+# LD_LIBRARY_PATH is crucial here. It helps Python find the MKL libraries we are about to install.
 ENV HOME=/home/user \
     PATH=/opt/conda/envs/app_env/bin:$PATH \
     LD_LIBRARY_PATH=/opt/conda/envs/app_env/lib:$LD_LIBRARY_PATH
 
-# 3. Set Working Directory
+# 3. Working Directory
 WORKDIR /home/user/app
 
-# 4. Create Conda Environment
+# 4. Create Conda Env
 RUN conda create -n app_env python=3.9 wget -y
 
-# 5. Install Conda Packages
-# Note: We use '-n app_env' to target the specific environment
-RUN conda install -n app_env -c pytorch -c nvidia -c conda-forge faiss-gpu=1.7.4 -y && \
+# 5. Install Conda Packages (FIXED)
+# We explicitly install 'mkl' to satisfy the missing shared object error.
+RUN conda install -n app_env -c pytorch -c nvidia -c conda-forge faiss-gpu=1.7.4 mkl -y && \
     conda clean -ya
 
 # 6. Install Pip Requirements
@@ -32,14 +31,13 @@ RUN chown -R user:user /home/user/app
 # 8. Switch to User
 USER user
 
-# 9. Download Files (Using wget inside the user context)
+# 9. Download Files
 RUN wget https://huggingface.co/datasets/mikonvergence/MajorTOM-SigLIP-Index-Viewer-App/resolve/main/siglip_ivfpq.index -O siglip_ivfpq.index && \
     wget https://huggingface.co/datasets/mikonvergence/MajorTOM-SigLIP-Index-Viewer-App/resolve/main/siglip_ivfpq_metadata.parquet -O siglip_ivfpq_metadata.parquet
 
-# 10. Copy Application Code
+# 10. Copy App Code
 COPY --chown=user *.py *.css ./
 COPY --chown=user helpers/* ./helpers/
 
 # 11. Entrypoint
-# This will execute /opt/conda/envs/app_env/bin/solara
 ENTRYPOINT ["solara", "run", "app.py", "--host=0.0.0.0", "--port", "7860", "--production"]