Dockerfile

FROM python:3.10-slim

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
ENV PYTHONPATH=/app/src
ENV HF_HOME=/data/hf_cache
ENV TRANSFORMERS_CACHE=/data/hf_cache/txagent_models
ENV MPLCONFIGDIR=/tmp/matplotlib

# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    build-essential \
    libpoppler-cpp-dev \
    && rm -rf /var/lib/apt/lists/*

# Create and set working directory
WORKDIR /app

# Install base packages
RUN pip install --no-cache-dir \
    packaging \
    setuptools \
    wheel \
    numpy

# Install PyTorch with CUDA support (Hugging Face Spaces provides CUDA)
RUN pip install --no-cache-dir \
    torch \
    transformers \
    sentence-transformers \
    vllm

# Create necessary directories
RUN mkdir -p /data/hf_cache/txagent_models \
    /data/hf_cache/tool_cache \
    /data/hf_cache/cache \
    /data/hf_cache/reports \
    /tmp/matplotlib

# Copy requirements first to leverage Docker cache
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY . .

# Expose port
EXPOSE 7860

# Command to run the application
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]