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Browse files- Dockerfile +10 -12
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# Use Python 3.11 slim image
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FROM python:3.11-slim
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#
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RUN apt-get update && apt-get install -y \
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curl \
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git \
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@@ -9,25 +8,24 @@ RUN apt-get update && apt-get install -y \
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npm \
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&& rm -rf /var/lib/apt/lists/*
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#
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RUN npm install -g promptfoo
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# Set working directory
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WORKDIR /app
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#
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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#
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# We directly download the compiled wheel file so we don't have to compile it (saves 30 mins)
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RUN curl -L "https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.90/llama_cpp_python-0.2.90-cp311-cp311-manylinux_2_17_x86_64.whl" -o llama.whl && \
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pip install llama.whl
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# 5. Copy your application code
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COPY . .
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# Expose port
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EXPOSE 7860
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# Run server
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FROM python:3.11-slim
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# Install Node.js (for promptfoo) and system tools
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RUN apt-get update && apt-get install -y \
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curl \
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git \
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npm \
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&& rm -rf /var/lib/apt/lists/*
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# Install promptfoo globally
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RUN npm install -g promptfoo
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WORKDIR /app
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# --- CRITICAL FIX: Install the AI Engine separately FIRST ---
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# We use the specific "CPU" URL to ensure we get the pre-built binary.
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RUN pip install --no-cache-dir \
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"llama-cpp-python==0.2.90" \
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--extra-index-url "https://abetlen.github.io/llama-cpp-python/whl/cpu"
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# --- Install the rest of your requirements ---
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY . .
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EXPOSE 7860
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# Run server
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