Update Dockerfile

Dockerfile

@@ -1,15 +1,12 @@
 FROM python:3.10-alpine
 
-# 1. Install Alpine-specific build tools
-# build-base = gcc, g++, make
-# openblas-dev = fast math for the CPU
+# 1. Install the compatibility layer for glibc wheels + math libs
 RUN apk add --no-cache \
-    build-base \
-    cmake \
-    git \
+    libc6-compat \
     libstdc++ \
-    openblas-dev \
-    python3-dev
+    libgomp \
+    openblas \
+    libgcc
 
 RUN adduser -D -u 1000 user
 USER user
@@ -17,16 +14,15 @@ ENV HOME=/home/user \
     PATH=/home/user/.local/bin:$PATH
 WORKDIR $HOME/app
 
-# 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".
+# 2. Install using the pre-built CPU wheels index
+# This skips the "Building Wheel" phase and downloads the .whl directly
 RUN pip install --no-cache-dir --upgrade pip && \
     pip install --no-cache-dir flask flask-cors huggingface-hub && \
-    pip install --no-cache-dir llama-cpp-python
+    pip install --no-cache-dir llama-cpp-python \
+    --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu
 
 COPY --chown=user . $HOME/app
 
+# Ensure we use the right port for Hugging Face
+EXPOSE 7860
 CMD ["python", "app.py"]