updated dockerfile

Dockerfile

@@ -0,0 +1,36 @@
+# Use a slim Python image
+FROM python:3.11-slim
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1 \
+    PORT=7860 \
+    BACKEND=llama_cpp \
+    MODEL_DIR=/code/model
+
+# Set working directory
+WORKDIR /code
+
+# Install basic runtime dependencies (git is useful for huggingface_hub downloads)
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install llama-cpp-python using the pre-compiled CPU wheels index
+RUN pip install --no-cache-dir llama-cpp-python --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu
+
+# Copy requirements and install remaining python packages
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Pre-download the Gemma 1.1 2B model GGUF so the container boots instantly
+RUN mkdir -p /code/model && \
+    python -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='bartowski/gemma-1.1-2b-it-GGUF', filename='gemma-1.1-2b-it-Q4_K_M.gguf', local_dir='/code/model', local_dir_use_symlinks=False)"
+
+# Copy the application source code
+COPY . .
+
+# Expose Gradio's port
+EXPOSE 7860
+
+# Launch the Gradio app
+CMD ["python", "app.py"]