Update Dockerfile

Dockerfile

@@ -1,32 +1,30 @@
 # Use a lightweight Python 3.10 base image
 FROM python:3.10-slim
 
-# 1. Install system dependencies required to compile llama.cpp
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    && rm -rf /var/lib/apt/lists/*
-
-# 2. Hugging Face strictly requires running as a non-root user (UID 1000)
+# 1. Hugging Face strictly requires running as a non-root user (UID 1000)
 RUN useradd -m -u 1000 user
 USER user
 
-# Set up environment variables for the user
+# 2. Set up environment variables for the user
 ENV HOME=/home/user \
     PATH=/home/user/.local/bin:$PATH
 
 # 3. Set the working directory
 WORKDIR $HOME/app
 
-# 4. Copy requirements and install them
-# We do this before copying the rest of the code to leverage Docker layer caching
+# 4. Copy requirements first to leverage Docker layer caching
 COPY --chown=user requirements.txt $HOME/app/
+
+# 5. Install dependencies, using the pre-built CPU wheel to bypass compilation
 RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt
+    pip install --no-cache-dir -r requirements.txt \
+    --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu
 
-# 5. Copy the main application code
+# 6. Copy the main application code
 COPY --chown=user app.py $HOME/app/
 
-# 6. Expose port 7860 (The standard port for HF Spaces)
+# 7. Expose port 7860 (The standard port for HF Spaces)
 EXPOSE 7860
 
-# 7. Start the Uvicorn server
+# 8. Start the Uvicorn server
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]