telegram bot project for streaming video on telegram video chat, powered by py-tgcalls and pyrogram
/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
/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.
The easy way to host this bot, deploy to Heroku
- 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 inrun.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/[email protected]
name: "Cancelling duplicate workflow runs"
with:
all_but_latest: true
access_token: ${{ github.token }}
- uses: actions/setup-node@v2
with:
node-version: '16'
- name: Set up Python 3.9
uses: actions/[email protected]
with:
python-version: 3.9
- name: cloning repo and install
continue-on-error: true
run: |
sudo apt -qq update && sudo apt -qq install -y --no-install-recommends ffmpeg neofetch
pip3 install -r requirements.txt
# echo "API_ID=${{ 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
- 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