Update Dockerfile

Dockerfile

@@ -1,36 +1,40 @@
 # Use the NVIDIA CUDA image as the base
 FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu20.04
 
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    python3 \
+    python3-pip \
+    cmake \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
 # Set up a new user named "user" with user ID 1000
 RUN useradd -m -u 1000 user
 
-# Switch to the "user" user
-USER user
-
-# Set home to the user's home directory
-ENV HOME=/home/user \
-    PATH=/home/user/.local/bin:$PATH
-
-# Set the working directory to the user's home directory
+# Set the working directory
 WORKDIR /app
 
-# Install Python and pip
-RUN apt-get update && apt-get install -y python3 python3-pip
+# Copy the requirements file
+COPY requirements.txt .
 
-# Install CMake and other build dependencies
-RUN apt-get install -y cmake build-essential
+# Install Python dependencies
+RUN pip3 install --no-cache-dir --upgrade pip && \
+    pip3 install --no-cache-dir -r requirements.txt
 
 # Install llama-cpp-python with CUDA support
 ENV FORCE_CMAKE=1
 ENV CMAKE_ARGS="-DLLAMA_CUBLAS=on"
-RUN pip install llama-cpp-python --no-cache-dir
-
-# Copy the current directory contents into the container at /app
-COPY --chown=user ./requirements.txt requirements.txt
-RUN pip install --no-cache-dir --upgrade -r requirements.txt
+RUN pip3 install --no-cache-dir llama-cpp-python
 
 # Copy the rest of the application code
-COPY --chown=user . /app
+COPY . .
+
+# Change ownership of the app directory to the user
+RUN chown -R user:user /app
+
+# Switch to the "user" user
+USER user
 
 # Run the application
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]