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prisme / Dockerfile

Déploiement de Prisme

cf18691 verified about 1 month ago

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# Prisme — RAG multimodal (Hugging Face Space, SDK Docker, CPU gratuit)
FROM python:3.11-slim

ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PIP_NO_CACHE_DIR=1 \
    PIP_DISABLE_PIP_VERSION_CHECK=1

RUN apt-get update \
 && apt-get install -y --no-install-recommends ffmpeg libglib2.0-0 \
 && rm -rf /var/lib/apt/lists/*

# Hugging Face exécute le conteneur avec l'utilisateur 1000
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    HF_HOME=/home/user/.cache/huggingface \
    TIKTOKEN_CACHE_DIR=/home/user/.cache/tiktoken
WORKDIR /home/user/app

# PyTorch CPU (image beaucoup plus légère que la version CUDA)
COPY --chown=user requirements.txt .
RUN pip install --user torch --index-url https://download.pytorch.org/whl/cpu \
 && pip install --user -r requirements.txt

# Téléchargement des modèles au build : démarrage rapide du Space
RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('intfloat/multilingual-e5-base')" \
 && python -c "import tiktoken; tiktoken.get_encoding('o200k_base')"

COPY --chown=user . .

EXPOSE 7860
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860", "--proxy-headers", "--forwarded-allow-ips", "*"]

	# Prisme — RAG multimodal (Hugging Face Space, SDK Docker, CPU gratuit)
	FROM python:3.11-slim

	ENV PYTHONDONTWRITEBYTECODE=1 \
	PYTHONUNBUFFERED=1 \
	PIP_NO_CACHE_DIR=1 \
	PIP_DISABLE_PIP_VERSION_CHECK=1

	RUN apt-get update \
	&& apt-get install -y --no-install-recommends ffmpeg libglib2.0-0 \
	&& rm -rf /var/lib/apt/lists/*

	# Hugging Face exécute le conteneur avec l'utilisateur 1000
	RUN useradd -m -u 1000 user
	USER user
	ENV HOME=/home/user \
	PATH=/home/user/.local/bin:$PATH \
	HF_HOME=/home/user/.cache/huggingface \
	TIKTOKEN_CACHE_DIR=/home/user/.cache/tiktoken
	WORKDIR /home/user/app

	# PyTorch CPU (image beaucoup plus légère que la version CUDA)
	COPY --chown=user requirements.txt .
	RUN pip install --user torch --index-url https://download.pytorch.org/whl/cpu \
	&& pip install --user -r requirements.txt

	# Téléchargement des modèles au build : démarrage rapide du Space
	RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('intfloat/multilingual-e5-base')" \
	&& python -c "import tiktoken; tiktoken.get_encoding('o200k_base')"

	COPY --chown=user . .

	EXPOSE 7860
	CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860", "--proxy-headers", "--forwarded-allow-ips", "*"]