https://github.com/hectorpulido/streamlit-demos

These are some demos of streamlit apps I've made. For personal visualization projects, I've found streamlit to be a great way to quickly prototype and share ideas.
https://github.com/hectorpulido/streamlit-demos

ai data-science

Last synced: about 1 year ago
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These are some demos of streamlit apps I've made. For personal visualization projects, I've found streamlit to be a great way to quickly prototype and share ideas.

Host: GitHub
URL: https://github.com/hectorpulido/streamlit-demos
Owner: HectorPulido
License: mit
Created: 2023-09-25T22:31:19.000Z (almost 3 years ago)
Default Branch: main
Last Pushed: 2023-09-27T03:12:43.000Z (almost 3 years ago)
Last Synced: 2023-09-28T02:45:47.423Z (almost 3 years ago)
Topics: ai, data-science
Language: Python
Homepage:
Size: 8.79 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

# streamlit demos

These are some demos of [streamlit](https://streamlit.io/) apps I've made. For personal visualization projects, I've found streamlit to be a great way to quickly prototype and share ideas.

## Running the app
To run the app, first install the requirements:
```bash
pip install -r requirements.txt
```
Then run the app:
```bash
streamlit run app.py
```

Or run the app directly from collab
There you can select the app you want to run from the sidebar
[Collab link](https://colab.research.google.com/drive/11K5Jh4kM7RBg4mvphIwmKEusYSkxJRVs#scrollTo=tmB4QyfTM4Du)

## Demos
1. Vectorial space demo
A demo of the embeddings tech base of vectorial databases