VIDEO STREAM BOT

telegram bot project for streaming video on telegram video chat, powered by py-tgcalls and pyrogram

🛠 Commands:

/vplay (reply to video/give yt url) - to start video streaming
/vstop - to stop video streaming
/song (song name) - to download song
/vsong (video name) - to download video
/vjoin - invite the assistant join to your group
/vleave - order the assistant to leave from your group
/lyric (query) - lyric scrapper
/tts (reply to text) - text to speech
/alive - check the bot alive status
/ping - check the bot ping status
/uptime - check the bot uptime status
/sysinfo - show the bot system information

🧙🏻‍♂️ Sudo Only:

/rmd - clear all downloaded files
/rmw - clear all downloaded raw files
/leaveall - order the assistant to leave from all group

📝 Note: From now, /vstream & /vstop command can only be used by group admins.

🧪 Get STRING_SESSION from below:

TAP THIS:

💜 Deploy To Heroku

The easy way to host this bot, deploy to Heroku

🚄 Deploy To Railway

🌀 Run On Workflows

fork this repository
Go to your forked repository settings
Scroll down and select the secrets tab
Click on New repository secret button
Add the environmental vars as mentioned here
Then create new file with structure .github/workflows/run.yml
Now in run.yml file, fill with this code below, just copy it and paste in run.yml file

View code

name: Run on workflows
on:
    schedule:
      - cron: "0 */6 * * *"
    push:
      branches: [ main ]
    workflow_dispatch:
    
env:
  API_ID: "${{ secrets.API_ID }}"
  API_HASH: "${{ secrets.API_HASH }}"
  SESSION_NAME: "${{ secrets.SESSION_NAME }}"
  BOT_USERNAME: "${{ secrets.BOT_USERNAME }}"
  ASSISTANT_NAME: "${{ secrets.ASSISTANT_NAME }}"
  DURATION_LIMIT: "${{ secrets.DURATION_LIMIT }}"
  BOT_TOKEN: "${{ secrets.BOT_TOKEN }}"
  SUDO_USERS: "${{ secrets.SUDO_USERS }}"

jobs:
  build:
    runs-on: ubuntu-latest

    steps:
       - uses: actions/checkout@v2
         with:
            ref: beta
       - uses: styfle/cancel-workflow-action@0.9.0
         name: "Cancelling duplicate workflow runs"
         with:
            all_but_latest: true
            access_token: ${{ github.token }}
       - uses: actions/setup-node@v2
         with:
            node-version: '16'
       - name: Set up Python 3.9
         uses: actions/setup-python@v2.2.2
         with:
           python-version: 3.9
       - name: cloning repo and install

         continue-on-error: true
         run: |
           sudo apt -qq update && sudo apt -qq install -y --no-install-recommends ffmpeg neofetch
           pip3 install -r requirements.txt
          #  echo "API_ID=${{ secrets.API_ID }} | tee .env
          #  echo "API_HASH=${{ secrets.API_HASH }} | tee -a .env
          #  echo "BOT_USERNAME=${{ secrets.BOT_USERNAME }} | tee -a .env
          #  echo "ASSISTANT_NAME=${{ secrets.ASSISTANT_NAME }} | tee -a .env
          #  echo "SESSION_NAME=${{ secrets.SESSION_NAME }} | tee -a .env
          #  echo "DURATION_LIMIT=${{ secrets.DURATION_LIMIT }} | tee -a .env
          #  echo "SUDO_USERS=${{ secrets.SUDO_USERS }} | tee -a .env
          #  echo "BOT_TOKEN=${{ secrets.BOT_TOKEN }} | tee -a .env || echo "Proceeding with bot"
          #  cat .env
       - name: Running
         timeout-minutes: 350
         continue-on-error: true
         run: |
           python3 -m bot
           echo "Bot Died"

After adding all, Go to the Actions tab and start/run the workflows

VPS Deployment

- sudo apt update && upgrade -y
- sudo apt install python3-pip -y virtualenv
- sudo apt install ffmpeg -y
- nvm install v16.5.0
- npm i -g npm
- git clone https://github.com/levina-lab/video-stream
- cd video-stream
- virtualenv venv #Create Virtual Environment.
- source venv/bin/activate #Activate Virtual Environment
- pip3 install --upgrade pip
- pip3 install -U -r requirements.txt
- cp -r sample.env local.env
- nano local.env #Fill it with your variables value.
- python3 -m bot

Special Credits 💖

Levina Dev
Sammy-XD Dev
Zxce3 Dev
DoellBarr Dev
tofikdn Dev
Laky's for pytgcalls
Dan for Pyrogram

ImDarkLK/video-stream