6.9 KiB
6.9 KiB
VIDEO STREAM BOT
telegram bot project for streaming video on telegram video chat, powered by 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
secretstab - Click on
New repository secretbutton - Add the environmental vars as mentioned here
- Then create new file with structure
.github/workflows/run.yml - Now in
run.ymlfile, fill with this code below, just copy it and paste inrun.ymlfile
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 💖
Support & Updates 🎑
