My Jetson AGX Xavier randomly died during my coding-debugging…It is kind of dead but not fully dead so I want to have a bash script automatically reboot it when it is dead.

1. generate your local ssh key by

$ ssh-gen 

2. copy to local .ssh by

$ cat .ssh/id_rsa.pub >> .ssh/authorized_keys

3. run following script

#! /bin/bash
for ((i=1;i==1;i=1))
do
ssh -o Batchmode=yes -o ConnectTimeout=3 127.0.0.1 exit
if [ $? != "0" ]; then 
 echo "reboot"
 sudo reboot
fi
echo "sshd alive..."
sleep 10
done

Let add a new Textbox to Gradio framework, call it Textbo1

• Add new class Textbo1 in compnents.py:

• make the new copy name of Textbo1 of the directory named “Textbox”

$ cp -r 
github/my_/gradio/ui/packages/app/src/components/Textbox

github/my_/gradio/ui/packages/app/src/components/Textbo1$ cp -r /mnt/docker/github/gradio/ui/packages/app/src/components/input/Textbox/mnt/docker/github/gradio/ui/packages/app/src/components/input/Textbo1

• Edit following file __init__.py:

Go to github, setting of a repo, change the branch’s default name, as following :

then:

1. Modify following config on you ssh server and make it effective immediately:

$ vim /etc/ssh/

2. Most Likely, you don’t need to check following if you have GUI linux installed, but worth a check anyway:

$ which xauth

• from PyPI.

$ pip install gradio

• from local network:

$ pip install 192.168.1.11/gradio

• from local machine:

$ pip install ../gradio

• from local and auto sync modification:

$ pip install -e .

Uninstall for pip installed

$ pip uninstall gradio

• Uninstall for local installed:

$ rm  /usr/local/lib/python3.8/dist-packages/easy-install.pth
$ rm /usr/local/bin/gradio
$ rm -r /usr/local/lib/python3.8/dist-packages/gradio
$ rm /usr/local/lib/python3.8/dist-packages/gradio.egg-link

Build from source

• install pnpm, (Note: pnpm latest version won’t work with build gui, use 6.x instead.)

$ wget -qO- https://get.pnpm.io/install.sh | PNPM_VERSION=6.32.11 sh

Add path to .bashrc

export PATH=$PATH:/root/.local/share/pnpm/

then

$ source ~/.bashrc

• install backend:

$ bash scripts/install_gradio.sh

• build front end:

$ bash scripts/build_frontend.sh

reference guide:

https://github.com/gradio-app/gradio/blob/main/CONTRIBUTING.md

As we know, most AI’s coding line is so little when comparing to non-AI’s application… document here for further reference.

Where the model is loaded from

How the inference is executed: source -> result