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| # Use Ubuntu as the base image | |
| FROM ubuntu:22.04 | |
| # Set the working directory in the container | |
| WORKDIR /app | |
| # Install system dependencies and Python | |
| RUN apt-get update && apt-get install -y \ | |
| python3 \ | |
| python3-pip \ | |
| curl \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Set Python3 as the default | |
| RUN ln -s /usr/bin/python3 /usr/bin/python | |
| # Install Ollama | |
| RUN curl -fsSL https://ollama.com/install.sh | bash | |
| # Ensure Ollama is in the system path | |
| ENV PATH="/root/.ollama/bin:$PATH" | |
| # Pre-download the Llama3 model to avoid downloading it at runtime | |
| RUN ollama serve & sleep 5 && ollama pull llama3 | |
| # Copy the requirements file and install dependencies | |
| COPY requirements.txt ./ | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Copy the application files | |
| COPY . . | |
| # Expose the FastAPI default port | |
| EXPOSE 8000 | |
| # Start Ollama and FastAPI | |
| CMD ["sh", "-c", "ollama serve & uvicorn main:app --host 0.0.0.0 --port 8000"] | |