49 lines
1.4 KiB
Docker
Executable File
49 lines
1.4 KiB
Docker
Executable File
# Usar una imagen base de NVIDIA con CUDA 12.1.1 y Python 3.10
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FROM nvidia/cuda:12.1.1-runtime-ubuntu22.04
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# Evitar que los cuadros de diálogo de apt se bloqueen
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ENV DEBIAN_FRONTEND=noninteractive
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# Instalar Python, pip y dependencias del sistema
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RUN apt-get update && apt-get install -y \
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python3.10 \
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python3-pip \
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ffmpeg \
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poppler-utils \
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tesseract-ocr \
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tesseract-ocr-spa \
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curl \
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libgl1 \
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libglib2.0-0 \
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&& rm -rf /var/lib/apt/lists/*
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# Instalar Node.js 20 usando NodeSource repository
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RUN curl -fsSL https://deb.nodesource.com/setup_20.x | bash - && \
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apt-get install -y nodejs && \
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rm -rf /var/lib/apt/lists/*
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# Crear un enlace simbólico para que python3 -> python
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RUN ln -s /usr/bin/python3 /usr/bin/python
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# Establecer el directorio de trabajo
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WORKDIR /app
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# Copiar requerimientos e instalar dependencias de Python
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COPY requirements.txt .
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RUN python3 -m pip install --no-cache-dir --upgrade pip && \
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python3 -m pip install --no-cache-dir \
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torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 && \
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python3 -m pip install --no-cache-dir -r requirements.txt
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# Instalar Claude CLI
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RUN npm install -g @anthropic-ai/claude-code
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# Instalar Gemini CLI como root
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RUN npm install -g @google/gemini-cli
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# Copiar todo el código de la aplicación al contenedor
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COPY . .
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# Comando por defecto para iniciar el servicio principal unificado
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CMD ["python3", "main.py"]
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