Spaces:
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File size: 1,776 Bytes
bf340fa 9f6ffb8 5eea850 83dc8bf bf340fa 9f6ffb8 bf340fa 9f6ffb8 bf340fa 9f6ffb8 bf340fa | 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 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | # Hugging Face Spaces Docker SDK Image
FROM python:3.11-slim
# Set environment variables
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PORT=7860 \
HOST=0.0.0.0 \
ENABLE_PROMPT_GUARD=false \
OMP_NUM_THREADS=1 \
MKL_NUM_THREADS=1 \
DATA_DIR=/app/knowledge_base \
INDEX_DIR=/app/knowledge_base/indexes \
PROCESSED_DIR=/app/knowledge_base/processed \
HF_HOME=/app/.cache/huggingface
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
curl \
git \
ffmpeg \
libsndfile1 \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements and install python packages
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Pre-cache embedding model weights into Docker image at build time
RUN python -c "from transformers import AutoTokenizer, AutoModel; AutoTokenizer.from_pretrained('intfloat/multilingual-e5-small'); AutoModel.from_pretrained('intfloat/multilingual-e5-small')"
# Copy application source code and pre-built index/processed artifacts
COPY config.py .
COPY main.py .
COPY knowledge_base/ ./knowledge_base/
COPY doc_chunking/ ./doc_chunking/
COPY vector_search/ ./vector_search/
COPY voice_stt/ ./voice_stt/
COPY safety_guardrails/ ./safety_guardrails/
COPY llm_synthesis/ ./llm_synthesis/
COPY rag_pipeline/ ./rag_pipeline/
COPY api_endpoints/ ./api_endpoints/
COPY latency_benchmarks/ ./latency_benchmarks/
COPY web_ui/ ./web_ui/
# Create user for Hugging Face Spaces security
RUN useradd -m -u 1000 user && \
chown -R user:user /app
USER user
# Expose default Hugging Face Spaces port
EXPOSE 7860
# Launch FastAPI server
CMD ["python", "main.py"]
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