ChatGPT for Slack: How to integrate and use it

Hey there, fellow Slack users! It’s time to get excited because ChatGPT has joined the party!

This amazing AI chatbot is here to make your Slack experience even more enjoyable and efficient.

Whether you’re drafting messages, summarizing conversations, or asking questions, ChatGPT is your new best friend.

So, buckle up and get ready for some serious fun as we dive into the world of ChatGPT for Slack!

The Perfect Collaboration: Salesforce and OpenAI Team Up!

The dynamic duo of Salesforce and OpenAI has made it possible to bring ChatGPT to the Slack platform.

This collaboration aims to optimize communication between business professionals and save precious time by speeding up the conversation process.

With ChatGPT at your fingertips, you can draft messages, summarize threads, and ask questions with ease. It’s like having a virtual assistant that’s always ready to help you out.

But hey, don’t take our word for it, let’s dive into the nitty-gritty of how you can use ChatGPT with Slack!

Step by Step Guide: How to Use ChatGPT with Slack

Ready to unlock the full potential of ChatGPT for Slack? Here’s a step-by-step guide to get you started:

Step 1: Sign Up for the ChatGPT App Waitlist

As ChatGPT for Slack is currently in its beta version, you’ll need to sign up and join the waitlist. But don’t worry, it’s super easy!

1. Open your web browser on your phone or desktop.
2. Go to the ChatGPT app for Slack waitlist page.
3. Fill in the required details and hit the “Join Waitlist” option at the bottom of the screen.
4. Voila! You’re now officially on the ChatGPT app waitlist. Just sit back and wait for your request to be accepted.

Step 2: Summarize Conversations with ChatGPT

Tired of scrolling through lengthy conversations? Let ChatGPT come to your rescue with its summarization feature!

1. Open the Slack app and log in to the workplace you want to use.
2. Choose the channel whose conversation you want to summarize from the left-hand side menu.
3. Hover your cursor over the conversation and click on the “three-dot” menu icon.
4. Select “Summarize thread ChatGPT” and let ChatGPT work its magic!
5. Watch as ChatGPT drafts a concise summary of the conversation for you. Easy peasy!

Step 3: Draft Responses with ChatGPT

Need a witty and clever response to a message? Let ChatGPT do the heavy lifting and draft a reply for you!

1. Open the Slack app and log in to the workplace you want to use.
2. Identify the person or channel from which you received a question from the left-hand side menu.
3. Hover your cursor over the conversation and click on the “three-dot” menu icon.
4. Choose “Draft reply ChatGPT” and let ChatGPT work its magic!
5. Sit back and marvel at the witty response drafted by ChatGPT. It’s like having a comedy writer on your team!

Step 4: Ask ChatGPT Questions in Slack

Curious about something? Just ask ChatGPT and let the fun begin!

1. Open the Slack app and log in to the workplace you want to use.
2. Ask any questions you have, just like you would with any other chatbot.
3. Get ready to be entertained by ChatGPT’s conversational tone and witty replies!
4. Enjoy the banter with your new AI buddy!

ChatGPT Slack Intergration

If you’re looking to add a dose of humor and fun to your Slack conversations, integrating ChatGPT into Slack is just the thing you need!

With ChatGPT, a powerful language model developed by OpenAI, you can have interactive and engaging conversations with a bot that responds in a funny and bursty manner.

In this step-by-step guide, we’ll walk you through the process of integrating ChatGPT into Slack, from registering an app to testing it out. So, let’s get started with the giggles!

Step 1: Register an App with Slack and Obtain Tokens

To begin integrating ChatGPT into Slack, you’ll need to register an app with Slack and obtain the necessary tokens. Follow these easy steps:

1. Open the Slack app and log in to the workplace where you want to use ChatGPT.
2. Go to the Slack API website and click on “Create an App”.
3. Choose “From Scratch” to create a new app from scratch. Give your app a catchy name and select the Slack workspace where you want to use it.
4. In the “Basic Information” section, click on “Add features and functionality”.
5. Select “Permissions” and add the token scopes you need, such as channels: read and chat: write, to enable ChatGPT to interact with Slack.
6. Go to “Settings” and choose “Socket mode”. Enable it and give it a token name. Make sure to copy the Bot App token of Slack, which starts with “xapp”.
7. Go back to “Basic Information” and click on “Add features and functionality” again. This time, select “Event Subscriptions” and turn it on.
8. Look for the option “Subscribe to bot events” and click on “app mention”.
9. Save your changes and go to the “OAuth & Permissions” section.
10. Install the app you created in the Slack workplace.
11. Finally, copy the Slack bot token, which starts with “xoxb”.

Step 2: Obtain the OpenAI API Key

To use ChatGPT, you’ll need to obtain the OpenAI API key. Here’s how:

1. Open the OpenAI API website and log in.
2. Go to the API Key section and create a new API key.
3. Copy the API key once it’s generated.

Step 3: Install Necessary Dependencies

Before you can run ChatGPT in Slack, you’ll need to install some dependencies. Here’s what you’ll need:

1. Slack-bolt: This library allows you to run Slack applications easily. You can use it to build bots, run Slack’s features, and customize integrations. Install it with the command: “pip install slack-bolt”.
2. OpenAI: This is the library that provides access to the GPT-3 API. Install it with the command: “pip install openai”.
3. Slack: This library provides a Python interface for the Slack API. Install it with the command: “pip install slack”.

Step 4: Run the Application.

Once you have copied the code into your preferred development environment and made sure that you have installed the necessary dependencies (slack-bolt, openai, slack), you can now run the application.

# Now once you have installed the dependencies, you will have to use the 3 tokens that we created in the previous step in the following script:

SLACK_BOT_TOKEN = "YOUR_TOKEN"
SLACK_APP_TOKEN = "YOUR_TOKEN"
OPENAI_API_KEY = "YOUR_TOKEN"

import os
import openai
from slack_bolt.adapter.socket_mode import SocketModeHandler
from slack import WebClient
from slack_bolt import App

# Event API & Web API
app = App(token=SLACK_BOT_TOKEN)
client = WebClient(SLACK_BOT_TOKEN)

# This gets activated when the bot is tagged in a channel
@app.event("app_mention")
def handle_message_events(body, logger):
    # Log message
    print(str(body["event"]["text"]).split(">")[1])
    # Create prompt for ChatGPT
    prompt = str(body["event"]["text"]).split(">")[1]
    # Let the user know that we are busy with the request
    response = client.chat_postMessage(
        channel=body["event"]["channel"],
        thread_ts=body["event"]["event_ts"],
        text="Hello from your bot! :robot_face: \nThanks for your request, I'm on it!"
    )
    # Check ChatGPT
    openai.api_key = OPENAI_API_KEY
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=1024,
        n=1,
        stop=None,
        temperature=0.5
    ).choices[0].text
    # Reply to thread
    response = client.chat_postMessage(
        channel=body["event"]["channel"],
        thread_ts=body["event"]["event_ts"],
        text=f"Here you go: \n{response}"
    )

if __name__ == "__main__":
    SocketModeHandler(app, SLACK_APP_TOKEN).start()

# Once you have followed the script, you will see the message "Bolt app is running" which means that the app is now active.

After updating the script with your actual Slack bot token, Slack app token, and OpenAI API key, you can run the code in your preferred development environment. You should see the message “Bolt app is running” which indicates that the application is now active and listening for events in your Slack workspace. You can then test the integration by mentioning your bot in a channel and providing a prompt to generate a response using ChatGPT.

The code provided sets up an event handler for the “app_mention” event, which gets triggered when the bot is mentioned in a channel on Slack.

It uses the OpenAI API to generate a response based on the message text that follows the mention. The generated response is then posted back to the Slack channel as a reply.

To run the application, simply execute the code in your development environment. You should see a message “Bolt app is running” which indicates that the application is now active and listening for events in your Slack workspace.

Step 5: Test the Integration

Now that your application is running, you can test whether ChatGPT has been properly integrated into Slack.

Go to any channel in your Slack workspace where the bot is installed and mention the bot using its mention name or mention prefix, followed by a query or prompt. For example, you can mention the bot with “@botname What’s the weather like today?”

If everything is set up correctly, the bot should respond with an automated answer generated by ChatGPT based on the prompt provided.

This indicates that ChatGPT has been successfully integrated into Slack and is generating responses based on the messages it receives.

You can continue to test and fine-tune the application as needed to meet your specific requirements.

Remember to handle errors and exceptions, and ensure that your bot behaves according to your desired behavior and guidelines.

ChatGPT for Slack offers several benefits for customers, including:

1. Drafting messages or responses: ChatGPT provides AI-powered writing assistance, helping customers draft prompt messages, replies, status updates, or meeting notes. This eliminates the need for manually drafting all messages and enables AI-driven communication.
2. Summarizing conversations: ChatGPT on Slack offers a summary feature, allowing customers to quickly grasp important details in any conversation. This helps users stay updated and informed with minimal effort.
3. Effective research tools: ChatGPT for Slack includes built-in research tools that enable business professionals to research and acquire vast knowledge directly within Slack. This makes it easier to gather information and stay informed.
4. Automating workload: Outsourcing work to ChatGPT on Slack frees up users to focus on more important tasks and better streamline their work priorities. This can lead to improved efficiency and productivity.

In conclusion, ChatGPT for Slack offers novel benefits and opportunities for professionals, including automating work, reducing workload, and streamlining workflow. Many IT leaders have praised the integration of ChatGPT within Slack as a powerful and innovative initiative.

Trying ChatGPT for Slack can potentially improve overall business efficiency and productivity, making it a worthwhile tool for professionals to explore.