Dockerfile

# Use an official Python runtime as a base image
FROM python:3.10-slim

# Set the working directory to /app
WORKDIR /app

# Copy only the necessary files
# COPY main.py ./
# COPY app ./app
# COPY rag ./rag
# COPY assets ./assets
# COPY store ./store
# COPY requirements.txt ./
COPY . .

# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt

# Make port 5000 available to the world outside this container
EXPOSE 5001

# Run main.py when the container launches
CMD ["python", "main.py"]

# COMMAND
# docker build -t aibackend .
# ** docker run --name aibackend -d -p 5001:5001 aibackend
# env var: docker run --name aibackend -p 5001:5001 -e VAR_NAME=value aibackend
# volume: docker run --name aibackend -p 5001:5001 -v /host/path:/container/path aibackend