Update Dockerfile

Dockerfile

@@ -1,27 +1,31 @@
-# Use Bookworm (Debian 12) - it's more stable for AI builds than Slim
-FROM python:3.10-bookworm
+FROM python:3.10-alpine
 
-# Install basic build tools and libraries
-RUN apt-get update && apt-get install -y \
-    build-essential \
+# 1. Install Alpine-specific build tools
+# build-base = gcc, g++, make
+# openblas-dev = fast math for the CPU
+RUN apk add --no-cache \
+    build-base \
     cmake \
-    libgomp1 \
-    && rm -rf /var/lib/apt/lists/*
+    git \
+    libstdc++ \
+    openblas-dev \
+    python3-dev
 
-RUN useradd -m -u 1000 user
+RUN adduser -D -u 1000 user
 USER user
 ENV HOME=/home/user \
     PATH=/home/user/.local/bin:$PATH
 WORKDIR $HOME/app
 
-# We install a specific stable version (0.3.2) that has wide wheel support
-# This avoids the "Building Wheel" trap.
+# 2. Set environment variables to tell llama-cpp to use the Alpine math libraries
+ENV CMAKE_ARGS="-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS"
+
+# 3. Install Python packages
+# This WILL take 5-10 minutes because Alpine has to build the AI engine from scratch.
+# DO NOT cancel it when you see "Building wheel for llama-cpp-python".
 RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir \
-    flask \
-    flask-cors \
-    huggingface-hub \
-    llama-cpp-python==0.3.2 --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu
+    pip install --no-cache-dir flask flask-cors huggingface-hub && \
+    pip install --no-cache-dir llama-cpp-python
 
 COPY --chown=user . $HOME/app