https://github.com/amahanna/picsumvision

an interactive graph-based image repository
https://github.com/amahanna/picsumvision

arangodb typescript vision-api

Last synced: 3 months ago
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an interactive graph-based image repository

• Host: GitHub
• URL: https://github.com/amahanna/picsumvision
• Owner: aMahanna
• License: mit
• Created: 2021-04-30T16:50:50.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-01-16T16:52:02.000Z (about 2 years ago)
• Last Synced: 2023-03-05T23:24:54.807Z (almost 2 years ago)
• Topics: arangodb, typescript, vision-api
• Language: TypeScript
• Homepage: https://picsumvision.herokuapp.com
• Size: 7.9 MB
• Stars: 6
• Watchers: 2
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# picsumvision

[![Render](https://img.shields.io/badge/Render-%46E3B7.svg?style=for-the-badge&logo=render&logoColor=white)](https://picsumvision.mahanna.dev/)

[![Last commit](https://img.shields.io/github/last-commit/aMahanna/picsumvision)](https://github.com/aMahanna/picsumvision/commits/main)

![Python](https://img.shields.io/static/v1?color=3776AB&style=for-the-badge&logo=python&logoColor=FFD43B&label=python&message=3.6%20%7C%203.7%20%7C%203.8%20%7C%203.9)

[![License](https://img.shields.io/github/license/aMahanna/picsumvision?color=9E2165&style=for-the-badge)](https://github.com/aMahanna/picsumvision/blob/main/LICENSE)

[![Code style: black](https://img.shields.io/static/v1?style=for-the-badge&label=code%20style&message=black&color=black)](https://github.com/psf/black)

See it live: [picsumvision.mahanna.dev](https://picsumvision.mahanna.dev/)

An image repository allowing you to:

1. Search for images by keyword or URL

2. Discover images similar to click history

3. Visualize results as a graph network

Built with Lorem Picsum Photos, Google Vision, and ArangoDB 🥑

## Developer Setup (est time: 8 minutes)

Note: You can replace `yarn` with `npm run`.

1. `git clone https://github.com/aMahanna/picsumvision.git`

2. `cd picsumvision`

3. `cp .env.example .env`

4. `yarn setup`

5. `python -m venv .venv`

6. Activate Virtual Environment

   1. MacOS / Linux: `source .venv/bin/activate`

   2. Windows: `.venv/scripts/activate`

7. `pip install -e .[dev]`

8. `docker-compose up -d`

9. `yarn db:onboard`

10. Import Picsum Vision Data

     1. Via data restore: `yarn db:restore`

     2. Via data insert: `yarn db:populate`

         1. Note: requires `GOOGLE_APPLICATION_CREDENTIALS` key

11. `yarn dev`