Create tech stack docs (techstack.yml and techstack.md)

[stack-file]

Adding tech stack documentation to allow anyone to easily see what is being used in this repo without digging through config files. Two files are being added: techstack.yml and techstack.md. techstack.yml contains data on all the technologies being used in this repo. techstack.md is a visualization of the YML file and displays the tech stack data in a pretty Markdown file.

💡 Protip: techstack.md contains a comment at the top of the file that the following README snippet (with and without the logos) at the top of the file as a comment:

<--- Readme.md Snippet without images Start --->

Tech Stack

jpvan4/phidata is built on the following main stack:

• Jinja – Templating Languages & Extensions
• Python – Languages
• Protobuf – Serialization Frameworks
• SQLAlchemy – Object Relational Mapper (ORM)
• GitHub Actions – Continuous Integration
• NumPy – Data Science Tools
• Ollama – Large Language Model Tools
• OpenAI – Large Language Models
• Shell – Shells
• Streamlit – Machine Learning Tools

Full tech stack here

<--- Readme.md Snippet without images End --->

Get the code:

## Tech Stack
jpvan4/phidata is built on the following main stack:

- [Jinja](https://palletsprojects.com/p/jinja/) – Templating Languages & Extensions
- [Python](https://www.python.org) – Languages
- [Protobuf](https://developers.google.com/protocol-buffers/) – Serialization Frameworks
- [SQLAlchemy](http://www.sqlalchemy.org/) – Object Relational Mapper (ORM)
- [GitHub Actions](https://github.com/features/actions) – Continuous Integration
- [NumPy](http://www.numpy.org/) – Data Science Tools
- [Ollama](https://ollama.ai/) – Large Language Model Tools
- [OpenAI](https://openai.com/) – Large Language Models
- [Shell](https://en.wikipedia.org/wiki/Shell_script) – Shells
- [Streamlit](https://streamlit.io) – Machine Learning Tools

Full tech stack [here](/techstack.md)

---

<--- Readme.md Snippet with images Start --->

Tech Stack

jpvan4/phidata is built on the following main stack:

• Jinja – Templating Languages & Extensions
• Python – Languages
• Protobuf – Serialization Frameworks
• SQLAlchemy – Object Relational Mapper (ORM)
• GitHub Actions – Continuous Integration
• NumPy – Data Science Tools
• Ollama – Large Language Model Tools
• OpenAI – Large Language Models
• Shell – Shells
• Streamlit – Machine Learning Tools

Full tech stack here

<--- Readme.md Snippet with images End --->

Get the code:

## Tech Stack
jpvan4/phidata is built on the following main stack:

- <img width='25' height='25' src='https://img.stackshare.io/service/2303/New_Project__20_.png' alt='Jinja'/> [Jinja](https://palletsprojects.com/p/jinja/) – Templating Languages & Extensions
- <img width='25' height='25' src='https://img.stackshare.io/service/993/pUBY5pVj.png' alt='Python'/> [Python](https://www.python.org) – Languages
- <img width='25' height='25' src='https://img.stackshare.io/service/4393/ma2jqJKH_400x400.png' alt='Protobuf'/> [Protobuf](https://developers.google.com/protocol-buffers/) – Serialization Frameworks
- <img width='25' height='25' src='https://img.stackshare.io/service/1839/q5uAkmy7.png' alt='SQLAlchemy'/> [SQLAlchemy](http://www.sqlalchemy.org/) – Object Relational Mapper (ORM)
- <img width='25' height='25' src='https://img.stackshare.io/service/11563/actions.png' alt='GitHub Actions'/> [GitHub Actions](https://github.com/features/actions) – Continuous Integration
- <img width='25' height='25' src='https://img.stackshare.io/service/2179/default_332f874a2edb2686f578aa6389313efcea1eec41.png' alt='NumPy'/> [NumPy](http://www.numpy.org/) – Data Science Tools
- <img width='25' height='25' src='https://img.stackshare.io/service/109220/default_e499cccf9d15d22b9084679d5d7ebcb5f3e96c47.jpg' alt='Ollama'/> [Ollama](https://ollama.ai/) – Large Language Model Tools
- <img width='25' height='25' src='https://img.stackshare.io/service/48786/default_8b1119bcbb159cebebc2f6cfc9cd2e359b169d22.jpg' alt='OpenAI'/> [OpenAI](https://openai.com/) – Large Language Models
- <img width='25' height='25' src='https://img.stackshare.io/service/4631/default_c2062d40130562bdc836c13dbca02d318205a962.png' alt='Shell'/> [Shell](https://en.wikipedia.org/wiki/Shell_script) – Shells
- <img width='25' height='25' src='https://img.stackshare.io/service/11393/default_67e251b5860795095fe91618cf3ef8d09257469a.png' alt='Streamlit'/> [Streamlit](https://streamlit.io) – Machine Learning Tools

Full tech stack [here](/techstack.md)