shosseini811/telegram_bots

Deploying Telegram YouTube Downloader Bot on AWS EC2

Step-by-Step Instructions:

1. Set Up AWS EC2 Instance

• Log in to your AWS Management Console.
• Navigate to EC2 and launch a new instance.
• Choose the Amazon Linux 2 AMI.
• Select the appropriate instance type. For lightweight applications, a t2.micro or t3.micro might be sufficient.
• Configure instance details, storage, and tags as per your requirements.
• Configure your security group to allow inbound traffic on port 22 for SSH and any other ports your application may use.
• Review and launch the instance.
• Download the key pair, e.g., your_key.pem.

2. Connect to EC2 Instance

From your local terminal or command prompt:

chmod 400 path_to_your_key.pem
ssh -i "path_to_your_key.pem" ec2-user@your_ec2_public_dns

3. Update EC2 Instance

sudo yum update -y

4. Install Python & pip

sudo yum install python3 -y
curl -O https://bootstrap.pypa.io/get-pip.py
python3 get-pip.py --user

5. Transfer Files to EC2

From your local terminal or command prompt:

scp -i "path_to_your_key.pem" your_bot_script.py ec2-user@your_ec2_public_dns:~
scp -i "path_to_your_key.pem" requirements.txt ec2-user@your_ec2_public_dns:~
scp -i "path_to_your_key.pem" .env ec2-user@your_ec2_public_dns:~

6. Install Required Python Packages

On your EC2 instance:

pip3 install --user -r requirements.txt

7. Run the Bot

To run the bot and keep it running even after closing the terminal:

screen
python3 your_bot_script.py

To detach from the screen session:

For Mac: Ctrl + A followed by Ctrl + D For Windows using Putty: Ctrl + A followed by D

To reattach to a screen session:

screen -r

Additional Information:

• Ensure that the EC2 security group allows inbound traffic on the necessary ports for your application.
• For long-term deployment and better management, consider using AWS services like Elastic Beanstalk or ECS.
• Regularly monitor and check logs to handle any unexpected issues.
• Set up AWS CloudWatch for logging and monitoring.

path_to_your_key.pem" .env ec2-user@your_ec2_public_dns:~

### 6. Set Up Python Environment on EC2

```bash
pip3 install --user -r requirements.txt
mkdir downloads

7. Run the Bot

You can run the bot in the background using the screen utility:

screen -S bot
python3 your_bot_script.py

To detach from the screen session and let the bot run in the background, press CTRL + A followed by CTRL + D.

8. Re-attach to the Screen Session (If Needed)

If you want to check the bot's status or logs:

screen -r bot

9. Stop the Bot

To stop the bot, re-attach to the screen session and press CTRL + C.

Detaching from the Screen Session on Mac

• Press CTRL + A.
• Release the keys.
• Press CTRL + D.

This will detach you from the screen session, and the bot will continue to run in the background on the EC2 instance.

Note:

Remember to monitor your AWS resources to avoid unexpected charges and shut down or terminate resources when not in use.