feat: Implement AI classification and Web UI, refactor to IMAP

Dockerfile

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+# 1. Base Image
+# Use a lightweight Python base image
+FROM python:3.11-slim
+
+# 2. Set Working Directory
+# Set the working directory inside the container
+WORKDIR /app
+
+# 3. Install Dependencies
+# Copy the requirements file first to leverage Docker's layer caching.
+# This way, dependencies are only re-installed if requirements.txt changes.
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# 4. Copy Application Files
+# Copy the rest of the application source code, including the 'web' directory
+COPY . .
+
+# 5. Expose Port
+# Expose the port the app runs on
+EXPOSE 8000
+
+# 6. Add a healthcheck
+HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
+  CMD curl -f http://localhost:8000/ || exit 1
+
+# 7. Set Command
+# Define the command to run the application.
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]