rexdivakar/Notifly

Notifly is an AI Model tracking system designed to monitor the metrics and hardware resources during training the model in real-time alerts over various social networks like Telegram, discord, slack.

Notifly

Code Usage

Table of Contents

• About the package
  • Built With
• Prerequisites for install
• Install the package
• Working of the tool
  • Telegram
  • Discord
  • Slack
• Contributing

About the package

Simple Bots to push notifications during an event trigger.

wrapper to send messages, images, files over the bot using API.
wrapper to send message, images, files to the channel using Webhooks.
wrapper to send message, images, files to the channel using API.

Built With

• Python 3

Prerequisites

• Python
  It is preinstalled in Ubuntu 20.04. To check the version use command :

python3 --version

If it is not preinstalled for some reason, proceed here and download as per requirement.

Run the following command in terminal to download the required packags for running the tool locally :

• Using requirements file :

pip3 install -r requirements.txt

• Directly download packages:

pip3 install requests==2.24.0
pip3 install matplotlib==3.2.2
pip3 install slackclient==2.9.3

Install the package

Run the following terminal commands to install the package on the given distros.

• Termux :

pkg install python3 

pip3 install notifly

• Ubuntu/Debian

sudo apt install python3-pip

pip3 install notifly

• Arch

sudo pacman -S python3-pip

pip3 install notifly

This may take a while depending on the network speed.

Working of the tool

Telegram

To see how the tool works,

1. Create the telegram bot.
2. Getting the bot API token
   1. Search and go to _@Botfather_ .
   2. Message /mybots .
   3. Select the bot.
   4. Select the API token displayed in message.
   5. Copy and use in sample code.

   from notifly import telegram        #import the package    
   x = telegram.Notifier('bot API token')        #create object of class Notifier
   x.send_message('message')       #send message
   x.send_image("image address")        #send image(.jpg or .png format)
   x.send_file("file address")     #send document
   x.session_dump()        #creates folder named 'downloads' in local folder, downloads/saves message,chat details for current session in 'sessio_dump.json' file

3. Run sample code.

Discord

To see how the tool works,

1. Create server.
2. Create and copy server webhook and use in sample code.

   from notifly import discord
   x = discord.Notifier(r'webhook')       #create object of class Notifier
   x.send_message('message')      #send message
   x.send_file("file address")        #send file
   x.send_file("image address")       #send image

3. Run sample code.

Slack

To see how the tool works,

1. Create app. Follow these steps,
   1. Go here.
   2. Go to Create an App .
   3. Enter App Name and select workspace. Click Create App.
   4. Under Add features and functionality select Incoming Webhooks and Activate Incoming Webhooks.
   5. Scroll down, select Add New Webhook to Workspace and select a channel from the drop down.This channel name is used as an argument in the sample code. Click Allow.
   6. Select OAuth & Permissions from left-sidebar.
   7. Under Scopes > Bot Token Scopes click Add an OAuth Scope and add the following scopes,
      chat:write   chat:write.public   files:write   users:write
   8. Scroll up, under OAuth Tokens for Your Team copy the Bot User OAuth Access Token to use in sample code.
   9. Click Reinstall to Workspace, select channel and click Allow.
2. Write sample code.

   from notifly import slack
   x= slack.Notifier('token', channel='channel-name')      #create object of class Notiflier
   x.send_message('message')      #send message
   x.send_file("image or file address")      #send image/file

3. Run sample code.

Tensorflow Integration

Plug and play feature for your tensorflow callbacks

# create your notifier using above methods
from notifly import discord
notifier = discord.Notifier(r'webhook') 
class MyNotifierCallback:

    @notifier.notify_on_epoch_begin(epoch_interval=1, graph_interval=1, hardware_stats_interval=1)
    def on_epoch_begin(self, epoch, logs=None):
        pass

    @notifier.notify_on_epoch_end(epoch_interval=1, graph_interval=1, hardware_stats_interval=1)
    def on_epoch_end(self, epoch, logs=None):
        pass

    @notifier.notify_on_train_begin()
    def on_train_begin(self, logs=None):
        pass

    @notifier.notify_on_train_end()
    def on_train_end(self, logs=None):
        pass

model.fit(callbacks=[MyNotifierCallback()])

Learn more about Notifly ✨

Read the wiki pages which has all the above steps in great detail with some examples as well 🤩🎉.

Contributing

1. Fork the Project
2. Create your Feature Branch

   git checkout -b feature/mybranch

3. Commit your Changes

   git commit -m 'Add something'

4. Push to the Branch

   git push origin feature/mybranch

5. Open a Pull Request
   
   Follow the given commands or use the amazing GitHub GUI
   Happy Contributing