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# Use
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FROM python:3.9-slim
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# Install system compilers (needed for fast AI math)
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RUN apt-get update && apt-get install -y \
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build-essential \
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cmake \
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&& rm -rf /var/lib/apt/lists/*
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# Set working directory
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WORKDIR /code
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#
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# We copy ONLY requirements first.
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# Docker will cache this step. If you change app.py later,
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# it will SKIP installing these again!
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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#
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#
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COPY . .
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#
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RUN mkdir -p /code/.cache && chmod -R 777 /code/.cache
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ENV TRANSFORMERS_CACHE=/code/.cache
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# Start
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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# Use lightweight Python
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FROM python:3.9-slim
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# Set working directory
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WORKDIR /code
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# Copy requirements
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COPY ./requirements.txt /code/requirements.txt
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# 1. Install the easy packages first
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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# 2. THE FAST FIX: Install Pre-Compiled AI Engine
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# This downloads the binary instead of compiling it (Saves 20 mins)
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RUN pip install llama-cpp-python \
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--extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu
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# Copy the rest of the app
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COPY . .
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# Permissions for Hugging Face
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RUN mkdir -p /code/.cache && chmod -R 777 /code/.cache
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ENV TRANSFORMERS_CACHE=/code/.cache
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# Start App
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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