Create Dockerfile

Dockerfile

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+# 📚 Base image with CUDA for ML
+FROM nvidia/cuda:12.2.0-base-ubuntu22.04
+
+# 🛠️ Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    python3.11 \
+    python3.11-dev \
+    python3-pip \
+    build-essential \
+    curl \
+    && rm -rf /var/lib/apt/lists/* \
+    && apt-get clean
+
+# 🔗 Set Python 3.11 as default
+RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1 \
+    && update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1
+
+# 📂 Set working directory
+WORKDIR /home/user/app
+
+# 🐍 Install Python dependencies
+COPY ./requirements.txt .
+RUN pip install --no-cache-dir --upgrade pip \
+    && pip install --no-cache-dir -r requirements.txt \
+    && pip install --no-cache-dir \
+    https://huggingface.co/spacy/en_core_web_sm/resolve/main/en_core_web_sm-any-py3-none-any.whl \
+    https://huggingface.co/spacy/en_core_web_lg/resolve/main/en_core_web_lg-any-py3-none-any.whl
+
+# 🔒 Create non-root user
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+# 📦 Copy application code
+COPY --chown=user . .
+
+# 🌐 Expose port
+EXPOSE 7860
+
+# 🩺 Healthcheck
+HEALTHCHECK CMD curl --fail http://localhost:7860/_stcore/health || exit 1
+
+# 🚀 Run application
+CMD ["python3", "-m", "streamlit", "run", "presidio_streamlit.py", "--server.port=7860", "--server.address=0.0.0.0"]