moz411 / chatuml

A website that can help you with creating simple UML diagrams for your next project with just one simple message

ChatUML

A website that can help you with creating simple UML diagrams for your next project with just one simple message.

This is an MVP Submission to the CinnamonAI Full Stack AI Bootcamp. The purpose of this project is to evaluate the candidates' modelling and engineering skills before the bootcamp.

Features

Create UML diagrams with just one simple message

Releases

The application is now live on the web.

For more information, you can check the web-deploy branch of the repository.

Demo

(Will be updated soon)

License

This project is licensed under the MIT License - see the LICENSE file for details.

Documentation

User Manual

Please refer to the User Manual for more information about the usage of the application.

Technical Overview

This project is built with the following technologies:

Technologies

• Python 3.8 as the main programming language.
• Streamlit for the web application.
• OpenAI GPT-3 for the generating the PlantUML code.
• PlantUML for the UML diagram generation from the PlantUML code.
• Docker for the containerization.
• Sphinx for the documentation.

Code Style

This project follows the PEP 8 code style. The code is also linted with Flake8.

Development

This project used pre-commit hooks to lint the code before committing. The pre-commit hooks are configured in the .pre-commit-config.yaml file. The pre-commit hooks are managed by pre-commit.

And I also implemented a CI/CD pipeline for this project. The CI/CD pipeline is managed by GitHub Actions.

Building

Manual

1. Clone this repository to your machine.

       git clone https://github.com/ntploc21/ChatUML.git
       cd ChatUML

2. Run the following command to install the dependencies.

       pip install -r requirements.txt

3. Finally, run the following command to start the application.

       streamlit run chat-uml/app.py

4. The application should be running on your machine now. You can access it by going to http://localhost:8501 on your browser.

Docker

Make sure you have installed Docker and have your Docker running.

1. Clone this repository to your machine.

       git clone https://github.com/ntploc21/ChatUML.git
       cd ChatUML

2. Run the following command to build the Docker image.

       docker build -t chat-uml .

3. Finally, run the following command to start the application.

       docker run -p 8501:8501 chat-uml

4. The application should be running on your machine now. You can access it by going to http://localhost:8501 on your browser.

Project Structure

• chat-uml/: The main application folder.
  • app.py: The main application file, which contains the Streamlit application.
  • complete_prompt.py: The file that help with generating the complete prompt for the GPT-3 API.
  • uml_generate.py: The file that help with generating the UML diagram from the GPT-3 API response.
• prompts/: The folder that contains the prompt templates for the GPT-3 API.
• .streamlit/: The folder that contains the configuration file for the Streamlit application.
• .flake8: The configuration file for the Flake8 linter.
• Dockefile: The Dockerfile for the application.