Initial upload of Dockerfile

Dockerfile

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+FROM python:3.12-slim
+
+# Install system dependencies for building llama-cpp-python
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    python3-dev \
+    cmake \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set working directory
+WORKDIR /app
+
+# Install required Python libraries
+RUN pip install --no-cache-dir \
+    fastapi \
+    uvicorn \
+    pydantic \
+    huggingface_hub==0.35.3 \
+    pandas==2.2.2 \
+    tiktoken==0.12.0 \
+    pymupdf==1.26.5 \
+    langchain==0.3.27 \
+    langchain-community==0.3.31 \
+    chromadb==1.1.1 \
+    sentence-transformers==5.1.1 \
+    llama-cpp-python==0.2.28 \
+    'numpy<2.1.0'
+
+# Copy the application logic and FastAPI server
+COPY app_logic.py main.py ./
+
+# Copy the persistent vector database directory
+COPY chroma_db/ ./chroma_db/
+
+# Create the directory structure for the model to match main.py's MODEL_PATH
+RUN mkdir -p /root/.cache/huggingface/hub/models--TheBloke--Mistral-7B-Instruct-v0.1-GGUF/snapshots/731a9fc8f06f5f5e2db8a0cf9d256197eb6e05d1/
+
+# Copy the quantized model file to the snapshot directory
+COPY mistral-7b-instruct-v0.1.Q4_K_M.gguf /root/.cache/huggingface/hub/models--TheBloke--Mistral-7B-Instruct-v0.1-GGUF/snapshots/731a9fc8f06f5f5e2db8a0cf9d256197eb6e05d1/
+
+# Expose port 8000 for FastAPI
+EXPOSE 8000
+
+# Command to start the FastAPI application
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]