Update Dockerfile
Browse files- Dockerfile +60 -61
Dockerfile
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# ----------------------------------------------------------
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# 1. Base image
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# ----------------------------------------------------------
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FROM ubuntu:22.04
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# Avoid interactive prompts during build
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ENV DEBIAN_FRONTEND=noninteractive
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# ----------------------------------------------------------
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# 2. Install dependencies
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# ----------------------------------------------------------
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RUN apt-get update && apt-get install -y --no-install-recommends \
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wget \
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curl \
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ca-certificates \
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git \
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build-essential \
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python3 \
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python3-pip \
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&& rm -rf /var/lib/apt/lists/*
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# ----------------------------------------------------------
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# 3. Install Ollama
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# Check https://github.com/jmorganca/ollama/releases for the latest version
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# ----------------------------------------------------------
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ARG OLLAMA_VERSION="v0.0.14"
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RUN wget -q \
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https://github.com/jmorganca/ollama/releases/download/${OLLAMA_VERSION}/ollama-linux-x64 \
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-O /usr/local/bin/ollama && \
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chmod +x /usr/local/bin/ollama
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# ----------------------------------------------------------
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# 4. Copy Python requirements and install
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# ----------------------------------------------------------
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WORKDIR /app
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COPY requirements.txt /app/requirements.txt
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RUN pip3 install --no-cache-dir -r requirements.txt
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# ----------------------------------------------------------
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# 5. Copy application files
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# ----------------------------------------------------------
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COPY app.py /app/app.py
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# ----------------------------------------------------------
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# 6. Environment variables & expose port
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# ----------------------------------------------------------
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# By default, set an example API key (override at runtime/Secrets)
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ENV OLLAMA_API_KEY=change_me
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# We must expose 7860 for Hugging Face Spaces
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EXPOSE 7860
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# ----------------------------------------------------------
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# 7. Start Ollama in background and then run the FastAPI server
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# ----------------------------------------------------------
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# The model is pulled from HF: abanm/Dubs-Q8_0-GGUF
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#
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# "ollama serve" runs on default port 11411. We'll run that in the background,
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# then run uvicorn on 7860.
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CMD [ "sh", "-c", "ollama serve --model https://huggingface.co/abanm/Dubs-Q8_0-GGUF & uvicorn app:app --host 0.0.0.0 --port 7860" ]
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"https://huggingface.co/your-account/your-model"]
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# ----------------------------------------------------------
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# 1. Base image
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+
# ----------------------------------------------------------
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FROM ubuntu:22.04
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+
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+
# Avoid interactive prompts during build
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ENV DEBIAN_FRONTEND=noninteractive
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+
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# ----------------------------------------------------------
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# 2. Install dependencies
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# ----------------------------------------------------------
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RUN apt-get update && apt-get install -y --no-install-recommends \
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wget \
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+
curl \
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+
ca-certificates \
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+
git \
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+
build-essential \
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+
python3 \
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python3-pip \
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&& rm -rf /var/lib/apt/lists/*
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+
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# ----------------------------------------------------------
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# 3. Install Ollama
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# Check https://github.com/jmorganca/ollama/releases for the latest version
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# ----------------------------------------------------------
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ARG OLLAMA_VERSION="v0.0.14"
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RUN wget -q \
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https://github.com/jmorganca/ollama/releases/download/${OLLAMA_VERSION}/ollama-linux-x64 \
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-O /usr/local/bin/ollama && \
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chmod +x /usr/local/bin/ollama
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# ----------------------------------------------------------
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# 4. Copy Python requirements and install
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# ----------------------------------------------------------
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WORKDIR /app
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COPY requirements.txt /app/requirements.txt
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RUN pip3 install --no-cache-dir -r requirements.txt
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# ----------------------------------------------------------
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# 5. Copy application files
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# ----------------------------------------------------------
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COPY app.py /app/app.py
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# ----------------------------------------------------------
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# 6. Environment variables & expose port
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# ----------------------------------------------------------
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# By default, set an example API key (override at runtime/Secrets)
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ENV OLLAMA_API_KEY=change_me
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# We must expose 7860 for Hugging Face Spaces
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EXPOSE 7860
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# ----------------------------------------------------------
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# 7. Start Ollama in background and then run the FastAPI server
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# ----------------------------------------------------------
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# The model is pulled from HF: abanm/Dubs-Q8_0-GGUF
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#
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# "ollama serve" runs on default port 11411. We'll run that in the background,
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# then run uvicorn on 7860.
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CMD [ "sh", "-c", "ollama serve --model https://huggingface.co/abanm/Dubs-Q8_0-GGUF & uvicorn app:app --host 0.0.0.0 --port 7860" ]
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