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

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
• Laky's for pytgcalls
• Dan for Pyrogram

Support & Updates 🎑