File size: 820 Bytes
e808cb9 97cfc10 e808cb9 fd681ee e808cb9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
# Use Python 3.12 slim image
FROM python:3.12-slim
# Set working directory
WORKDIR /app
ENV TRANSFORMERS_CACHE=/tmp/.cache
RUN mkdir -p /tmp/.cache && chmod -R 777 /tmp/.cache
# Install system dependencies
RUN apt-get update && apt-get install -y \
build-essential \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements and install
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Pre-download the embedding model during build
RUN python -c "from langchain_community.embeddings import HuggingFaceEmbeddings; HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L6-v2')"
# Copy all project files
COPY . .
# Expose port 7860 for Hugging Face Spaces
EXPOSE 7860
# Command to run your FastAPI app
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
|