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ai-classification's Introduction

Hackathon demo

Goal

  • A web demo of face detection, whether an image or video have been edited.
  • A Convolution Neural Network model training, and use it in demo page.
  • API from chatgpt to describe the Image, or video.
  • Deploy on website
  • Add Google Analytics
  • MySQL store

Start in web file

install: pip install -r requirements.txt run with uvicorn web.run:app --reload

Deploy on website

  1. Go to https://dashboard.render.com/web/new
  2. Start command: uvicorn web.run:app --host 0.0.0.0 --port 5000
  3. Add Python version in additional

Ref

  1. Website: https://www.youtube.com/watch?v=0BEBquff6rI
  2. GA4 tag: gradio-app/gradio#5954
  3. GA4 note: https://hackmd.io/15X08z7DSz-pSctKHLAn3Q
  4. GA4 issue: gradio-app/gradio#6426 (solved: gradio-app/gradio#5954)
  5. GAN implementation: https://github.com/bryandlee/animegan2-pytorch/blob/main/demo.ipynb & https://github.com/gradio-app/gradio/blob/2780d067f9f801016c0254de679b56794859abed/demo/animeganv2/run.py#L4

Website

https://ai-classification.onrender.com/gradio/ (no longer support)

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