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rag / Dockerfile

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79a28b6 verified 7 months ago

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FROM python:3.11-slim

# Keep Python output unbuffered and avoid .pyc files in containers.
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PIP_NO_CACHE_DIR=1

# Optional Hugging Face cache location inside the container.
ENV HF_HOME=/app/.cache/huggingface
ENV TRANSFORMERS_CACHE=/app/.cache/huggingface

WORKDIR /app

# System libs often needed by ML wheels/runtime.
RUN apt-get update && apt-get install -y --no-install-recommends \
	git \
	build-essential \
	&& rm -rf /var/lib/apt/lists/*

# Install Python dependencies used by Fastapi/main.py.
RUN pip install --upgrade pip && pip install \
	fastapi \
	"uvicorn[standard]" \
	numpy \
	faiss-cpu \
	torch \
	transformers \
	huggingface_hub \
	sentencepiece \
	InstructorEmbedding \
	langchain-core \
	sentence-transformers \
	accelerate

# Copy the whole repo so Fastapi app can resolve vector_db.index/chunks.pkl
# from /app, /app/Fastapi, or /app/RAG_pipeline.
COPY . /app

EXPOSE 8000

# Run FastAPI app.
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

	FROM python:3.11-slim

	# Keep Python output unbuffered and avoid .pyc files in containers.
	ENV PYTHONDONTWRITEBYTECODE=1
	ENV PYTHONUNBUFFERED=1
	ENV PIP_NO_CACHE_DIR=1

	# Optional Hugging Face cache location inside the container.
	ENV HF_HOME=/app/.cache/huggingface
	ENV TRANSFORMERS_CACHE=/app/.cache/huggingface

	WORKDIR /app

	# System libs often needed by ML wheels/runtime.
	RUN apt-get update && apt-get install -y --no-install-recommends \
	git \
	build-essential \
	&& rm -rf /var/lib/apt/lists/*

	# Install Python dependencies used by Fastapi/main.py.
	RUN pip install --upgrade pip && pip install \
	fastapi \
	"uvicorn[standard]" \
	numpy \
	faiss-cpu \
	torch \
	transformers \
	huggingface_hub \
	sentencepiece \
	InstructorEmbedding \
	langchain-core \
	sentence-transformers \
	accelerate

	# Copy the whole repo so Fastapi app can resolve vector_db.index/chunks.pkl
	# from /app, /app/Fastapi, or /app/RAG_pipeline.
	COPY . /app

	EXPOSE 8000

	# Run FastAPI app.
	CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]