Add Streamlit Demo Template

[eb1609]

Summary

Adds a Streamlit deployment template to the Machine Learning category.

What's included

• deploy.yaml — SDL to deploy a Streamlit app on Akash
• app.py — Demo app with text sentiment analysis and image captioning tabs
• README.md — Deployment instructions and customization guide
• config.json — Template metadata for Akash Console

Why Streamlit?

Streamlit is one of the most widely used Python libraries for building ML demos and data apps. The gallery already has Gradio, but Streamlit has a larger general-purpose community and is heavily used in enterprise ML workflows. This gives developers a simple starting point to deploy their own Streamlit apps on Akash.

Changes to README

• Added Streamlit under the Machine Learning section

[Dimokus88]

Hi @eb1609 !
Thanks for your work!
This part seems too sensitive to SDL parsing and user interactions. https://github.com/eb1609/awesome-akash/blob/9920e238f7eadfe5ad15758337f5188185dca9bd/streamlit-demo/deploy.yaml#L7-L48 . Could you place the executable scripts inside the template image?
What do you think about this?