VIDEO STREAM BOT
telegram bot project for streaming video on telegram video chat, powered by [py-tgcalls](https://github.com/pytgcalls/pytgcalls) and [pyrogram](https://github.com/pyrogram/pyrogram)
## โจ Features
- Stable video streaming
- Clear video & audio quality
- Support youtube live streaming
- Support youtube video streaming
- Support streaming video from mp4 video/file video
- Join & Leave command for assistant
- Support inline search video
- Support youtube search video link
- Support PornHub direct link streaming ๐
- Video downloader feature
- Song downloader feature
- Have many other interesting features
## ๐ 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
## ๐ง๐ปโโ๏ธ Sudo Only:
- ``/rmd`` - clear all downloaded files
- ``/rmw`` - clear all downloaded raw files
- ``/leaveall`` - order the assistant to leave from all group
๐ Note: From now, /vstream & /vstop command can only be used by group admins.
## ๐งช Get SESSION_NAME from below:
TAP THIS: [](https://replit.com/@levinalab/StringSession#main.py)
## ๐ Deploy To Heroku
The easy way to host this bot, deploy to Heroku
[](https://heroku.com/deploy?template=https://github.com/levina-lab/video-stream)
## ๐ 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
```sh
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 }}"
CHANNEL_NAME: "${{ secrets.ASSISTANT_NAME }}"
GROUP_NAME: "${{ secrets.ASSISTANT_NAME }}"
OWNER_NAME: "${{ secrets.ASSISTANT_NAME }}"
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 "CHANNEL_NAME=${{ secrets.ASSISTANT_NAME }} | tee -a .env
# echo "GROUP_NAME=${{ secrets.ASSISTANT_NAME }} | tee -a .env
# echo "OWNER_NAME=${{ secrets.ASSISTANT_NAME }} | tee -a .env
# echo "BOT_TOKEN=${{ secrets.BOT_TOKEN }} | tee -a .env || echo "processing 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
```sh
- 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 ๐
- [Levina](https://github.com/levina-lab) ``Dev``
- [Sammy-XD](https://github.com/Sammy-XD) ``Dev``
- [Zxce3](https://github.com/Zxce3) ``Dev``
- [DoellBarr](https://github.com/DoellBarr) ``Dev``
- [tofikdn](https://github.com/tofikdn) ``Dev``
- [Laky's](https://github.com/Laky-64) for [``py-tgcalls``](https://github.com/pytgcalls/pytgcalls)
- [Dan](https://github.com/delivrance) for [``Pyrogram``](https://github.com/pyrogram)
### Support & Updates ๐
