Use Miniconda in Dockerfile for reliable build123d installation

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.10-slim
+FROM continuumio/miniconda3:latest
 
 # Install system libraries that OpenCascade/Gradio often require
 RUN apt-get update && apt-get install -y \
@@ -6,27 +6,37 @@ RUN apt-get update && apt-get install -y \
     libglib2.0-0 \
     && rm -rf /var/lib/apt/lists/*
 
-WORKDIR /app
+# Create a non-root user
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH \
+    CONDA_DIR=/opt/conda
+
+WORKDIR $HOME/app
+
+# Set up conda environment with build123d from conda-forge
+RUN conda create -n cad python=3.10 -y && \
+    conda install -n cad -c conda-forge build123d=0.10.0 -y && \
+    conda clean -a -y
 
-# Install Python requirements
-COPY requirements.txt .
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt
+# We need conda in the path
+ENV PATH=$CONDA_DIR/envs/cad/bin:$PATH
+
+# Install the rest of the python requirements via pip
+COPY --chown=user requirements.txt .
+# Remove build123d from pip requirements since conda handles it
+RUN grep -v "build123d" requirements.txt > reqs_no_cad.txt && \
+    $CONDA_DIR/envs/cad/bin/pip install --no-cache-dir -r reqs_no_cad.txt
 
 # Create necessary directories and set permissions
-RUN mkdir -p artifacts/runs artifacts/logs && \
-    chmod -R 777 artifacts
+RUN mkdir -p artifacts/runs artifacts/logs
 
 # Copy the rest of the application
-COPY . .
-
-# Create a non-root user (Hugging Face requirement for some Docker Spaces)
-RUN useradd -m -u 1000 user && \
-    chown -R user:user /app
-USER user
+COPY --chown=user . .
 
 # Hugging Face exposes port 7860 by default
 EXPOSE 7860
 
-# Run the app
-CMD ["python", "app.py"]
+# Run the app using the conda environment
+CMD ["/opt/conda/envs/cad/bin/python", "app.py"]