Dockerfile

# Use Python 3.9 Slim (Debian-based, standard for Hugging Face)
FROM python:3.9-slim

# Set working directory
WORKDIR /app

# 1. Install Build Tools (CRITICAL)
# We install 'cmake' and 'build-essential'. 
# This allows the AI engine to build itself correctly for THIS specific computer.
RUN apt-get update && apt-get install -y \
    build-essential \
    cmake \
    git \
    && rm -rf /var/lib/apt/lists/*

# Upgrade pip
RUN pip install --no-cache-dir --upgrade pip

# 2. Install Python Libraries
# We install llama-cpp-python normally. 
# Because we installed 'cmake' above, this will build successfully in about 3 minutes.
RUN pip install --no-cache-dir \
    llama-cpp-python \
    langchain \
    langchain-community \
    streamlit \
    huggingface-hub

# Copy the application files
COPY . .

# Expose the port
EXPOSE 7860

# Run the app
CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]