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How to Create a Multilingual Translation Bot with ChatGPT and Python and deploy it to Vercel

Published on July 2, 2024

Enhance your team’s productivity by creating a custom Slack bot capable of translating image content. This step-by-step guide will show you how to leverage ChatGPT and Node.js to add this innovative feature to your Slack workspace.

Step 1: Initiate Your Slack Application

1. Begin by visiting the Slack API page and select “Create New App.”

2. Once your app is created, access Settings > Basic Information to retrieve your Signing Secret and add it to your .env file as SLACK_SIGNING_SECRET.

3. Generate an App-Level Token with Generate Token and Scopes and record it in your .env file as SLACK_APP_TOKEN.

4. Install your app to your workspace from Features > OAuth & Permissions to obtain the Bot User OAuth Token, noted as SLACK_BOT_TOKEN in your .env.

5. Assign necessary bot scopes under Features > OAuth & Permissions > Scopes, including:

  • app_mentions:read
  • chat:write
  • chat:write.public
  • im:history
  • im:read
  • im:write
  • incoming-webhook

6. Add the user token scope channels:read under Features > OAuth & Permissions > User Token Scopes.

7. Activate event handling in Features > Event Subscriptions.

8. Turn on Socket Mode within Settings > Socket Mode.

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