Read Docs: 'RapGRT'
Creative AI assistant for music artists
Full stack development documentation:
Summary, resources, limitations, privacy, security, notes and discussion
(Personal project)
!['GoBoat' Portfolio Project Cover](images/Rapgrt-portfolio-cover-ezgif.com-video-to-gif-converter.gif)
Goal
Build a tool for music artists that help streamline idea creation and workflow utilizing full stack development and AI machine learning capabilities. #ArtificialintelligenceartWhat's it made of?
1. Notepad2. Beats playlist
3. Freestyle rapword generator
4. Large-language-model + GPT AI chat
5. Metronome (desktop feature only)
![Image of RapGRT made home page in light theme](images/fullsend.png)
![Image of RapGRT made home page features in dark theme](images/chatbot.png)
![Image of RapGRT made home page features about Rapoutput 'Rap faster with RapGRT'](images/rapoutput.png)
![Image of RapGRT made home page features about metronome 'Rap faster with RapGRT'](images/metronome.png)
What’s it do?
Allows musicians and artists to streamline their workflow by emphasizing 3 main components:
- Idea generation
- Text generation
- Audio playlisting
Artists typically listen to beats while writing music. They like to have ideas generating while writing and listening to music. Artists, typically male artists, in group settings tend to freestyle and want ideas spun up to rap on in topic. RapGRT allows for all components of workflow combined into one simple UI.
Environments
- VS Code
- Jupyter Notebook
Frameworks (frontend)
- Vite+React
- Voiceflow
Server (backend)
- Replit
Languages
- JavaScript, JSX
- HTML
- CSS
- Python
Resources
- OpenAPI
- OpenAI
- Huggingface dedicated endpoints
Models
- GPT-4.0
- GPT-3.5 Turbo
- Llama-3
- Dolphin-2.9-Llama3
Privacy and Security
- Please view the privacy policy here.
Benefits
- Production deployable chat box widget backed by LLM and GPT capabilities
- System knowledge customization and fine-tuning
- Anonymous data retrieval for model fine-tuning
Limitations
- API server costs, Virtual Machines, Cloud deployments, and GPUs can be costly depending on your provider and setup. Be sure to note this.