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Browse files- Dockerfile +40 -34
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# Use Ubuntu as the base image
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FROM ubuntu:22.04
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# Set the working directory in the container
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WORKDIR /app
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# Install system dependencies and Python
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RUN apt-get update && apt-get install -y \
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python3 \
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python3-pip \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Set Python3 as the default
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RUN ln -s /usr/bin/python3 /usr/bin/python
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# Copy the requirements file and install dependencies
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COPY requirements.txt ./
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RUN pip install --no-cache-dir -r requirements.txt
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# Install Ollama
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RUN curl -fsSL https://ollama.com/install.sh | bash
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# Ensure Ollama is in the system path
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ENV PATH="/root/.ollama/bin:$PATH"
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#
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#
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#
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# Use Ubuntu as the base image
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FROM ubuntu:22.04
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# Set the working directory in the container
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WORKDIR /app
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# Install system dependencies and Python
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RUN apt-get update && apt-get install -y \
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python3 \
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python3-pip \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Set Python3 as the default
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RUN ln -s /usr/bin/python3 /usr/bin/python
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# Copy the requirements file and install dependencies
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COPY requirements.txt ./
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RUN pip install --no-cache-dir -r requirements.txt
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# Install Ollama
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RUN curl -fsSL https://ollama.com/install.sh | bash
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# Ensure Ollama is in the system path
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ENV PATH="/root/.ollama/bin:$PATH"
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# Set Ollama's home directory to a writable location
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ENV OLLAMA_HOME="/app/.ollama"
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# Create the directory with proper permissions
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RUN mkdir -p $OLLAMA_HOME && chmod -R 777 $OLLAMA_HOME
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# Copy the application files
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COPY . .
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# Expose the FastAPI default port
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EXPOSE 8000
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# Start Ollama, pull Llama3 if not present, then start FastAPI
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CMD ["sh", "-c", "ollama serve & sleep 5 && ollama pull llama3 && uvicorn main:app --host 0.0.0.0 --port 8000"]
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