MKA2025/qobuz-dl-telegram-bot

PythonGPL-3.0

qobuz-dl-telegram-bot

Commands for bot(set through @BotFather)

start - start bot
download - dl one link and multi link
status - bot status
log - log

Installing requirements

Clone repo:

 git clone https://github.com/qobuz-dl/qobuz-dl-telegram-bot

Set up config file

config.py
Fill up variables:
- Mandatory variables:
  - API_ID: get this from https://my.telegram.org. Don't put this in quotes
  - API_HASH: get this from https://my.telegram.org
  - BOT_TOKEN: The Telegram Bot Token (get from @BotFather)
  - OWNER_ID: your Telegram User ID (not username) of the owner of the bot
  - AUTH_IDS: Group Id -100xxxx
  - QOBUZ_MAIL: qobuz email
  - QOBUZ_PASS: qobuz pass
  - QOBUZ_QUAL: Quality
  - BOT_USERNAME: Bot username not @
  - LOG_CHANNEL: Channel Id -100xxxx

🌿 Quality

  5:  MP3-320 Kbps
  6:  CD-16-bit/44,1 kHz
  7:  24-Bit Hi-Res/Upto 96 kHz
  27: 24-Bit Hi-Res/Upto 192 kHz

Deploying on VPS Using Docker

Start Docker daemon (skip if already running), if installed by snap then use 2nd command:
```
  sudo dockerd
  sudo snap start docker
```
Note: If not started or not starting, run the command below then try to start.
```
  sudo apt install docker.io
```
Build Docker image:
```
  sudo docker build . -t qobuz-dl-bot 
```
Run the image:
```
  sudo docker run qobuz-dl-bot
```
To stop the image:
```
  sudo docker ps
  sudo docker stop id
```
To clear the container:
```
  sudo docker container prune
```
To delete the images:
```
  sudo docker image prune -a
```

Deploying on VPS Using docker-compose

NOTE: If you want to use port other than 80, change it in docker-compose.yml

sudo apt install docker-compose

Build and run Docker image:

sudo docker-compose up

After editing files with nano for example (nano start.sh):

sudo docker-compose up --build

To stop the image:

sudo docker-compose stop

To run the image:

sudo docker-compose start