add minimum image type

Dockerfile

@@ -1,6 +1,7 @@
-FROM python:3.11-slim-bookworm as base
+FROM python:3.11-slim-bookworm AS base
 
 # Use args
+ARG MINIMUM_BUILD
 ARG USE_CUDA
 ARG USE_CUDA_VER
 
@@ -8,11 +9,12 @@ ARG USE_CUDA_VER
 ENV ENV=prod \
     PORT=9099 \
     # pass build args to the build
+    MINIMUM_BUILD=${MINIMUM_BUILD} \
     USE_CUDA_DOCKER=${USE_CUDA} \
     USE_CUDA_DOCKER_VER=${USE_CUDA_VER}
 
-
-# Install GCC and build tools
+# Install GCC and build tools. 
+# These are kept in the final image to enable installing packages on the fly.
 RUN apt-get update && \
     apt-get install -y gcc build-essential curl git && \
     apt-get clean && \
@@ -22,13 +24,20 @@ WORKDIR /app
 
 # Install Python dependencies
 COPY ./requirements.txt .
-RUN pip3 install uv && \
-    if [ "$USE_CUDA" = "true" ]; then \
-    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir; \
-    else \
-    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir; \    
+COPY ./requirements-minimum.txt .
+RUN pip3 install uv
+RUN if [ "$MINIMUM_BUILD" != "true" ]; then \
+        if [ "$USE_CUDA_DOCKER" = "true" ]; then \
+            pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir; \
+        else \
+            pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir; \    
+        fi \
+    fi
+RUN if [ "$MINIMUM_BUILD" = "true" ]; then \
+        uv pip install --system -r requirements-minimum.txt --no-cache-dir; \
+    else \
+        uv pip install --system -r requirements.txt --no-cache-dir; \
     fi
-RUN uv pip install --system -r requirements.txt --no-cache-dir
 
 # Copy the application code
 COPY . .
@@ -37,4 +46,4 @@ COPY . .
 ENV HOST="0.0.0.0"
 ENV PORT="9099"
 
-ENTRYPOINT [ "bash", "start.sh" ]
+ENTRYPOINT [ "bash", "start.sh" ]