RAG_Assistant_Model / Dockerfile
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Rename Dockerfile.txt to Dockerfile
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# Use NVIDIA CUDA base image for GPU support
FROM nvidia/cuda:12.2.0-runtime-ubuntu22.04
# Set working directory
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
python3 \
python3-pip \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements file
COPY requirements.txt .
# Install Python dependencies
RUN pip3 install --no-cache-dir -r requirements.txt
# Copy application code and knowledge base files
COPY tinny_llama.py .
COPY nvidia_overview.txt .
COPY geforce_now_faq.txt .
COPY rtx_50_series_specs.txt .
COPY rtx_pro_6000.txt .
COPY investor_faq.txt .
# Expose Streamlit port
EXPOSE 8501
# Set environment variable to ensure Streamlit runs externally
ENV STREAMLIT_SERVER_PORT=8501
ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
# Run the Streamlit application
CMD ["streamlit", "run", "tinny_llama.py"]