doc_classify_lora / Dockerfile
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# =========================
# Base image
# =========================
FROM python:3.10-slim
# =========================
# Set working directory
# =========================
WORKDIR /app
# =========================
# Environment variables
# =========================
ENV MODEL_NAME=prajjwal1/bert-tiny
ENV PYTHONUNBUFFERED=1
ENV TESSDATA_PREFIX=/usr/share/tesseract-ocr/tessdata
# =========================
# Install system dependencies (no poppler)
# =========================
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
tesseract-ocr \
libtesseract-dev \
libleptonica-dev \
pkg-config \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
# =========================
# Copy requirements and install Python packages
# =========================
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade pip
RUN pip install --no-cache-dir -r requirements.txt
# =========================
# Copy app and model adapter
# =========================
COPY app.py .
COPY lora_adapter ./lora_adapter
# Optional: custom Streamlit config
COPY .streamlit ./.streamlit
# =========================
# Expose Streamlit port
# =========================
EXPOSE 8501
# =========================
# Run the app
# =========================
CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]