Launch your own secure ChatGPT Enterprise with Multimodal GPT Slackbot in minutes

Last week, OpenAI released its newest GPT-4 Turbo model, which inherently supports GPT Vision, boasts a 128k context window, and benefits from an updated knowledge cutoff as of December 2023. While going back to update my Mini GPT Slackbot (as presented in this article) to integrate these enhancements, I decided to take it a step further by packaging this upgraded Slackbot into a Docker image. This move allows any business to quickly deploy a powerful AI tool that mirrors the capabilities of ChatGPT Enterprise securely and efficiently within Slack.

Multimodal GPT Slackbot is a ready-to-use Docker-based application designed to bring advanced AI functionalities to Slack. By leveraging OpenAI’s latest models, this app offers a suite of interactive and versatile AI features, providing an experience on par with ChatGPT Enterprise, all within Slack’s secure and collaborative framework:

• Contextual Awareness: Ensures each conversation in Slack threads remains coherent and contextually relevant over time, enhancing user interaction.

• GPT Vision and Dall-E Integration: Broadens the creative horizons for teams, supporting activities like creative brainstorming and instant prototyping with advanced visual capabilities.

• Text to Speech: Increases accessibility by vocalizing text, aiding visually impaired team members or those needing to multitask effectively.

• Speech to Text: Utilizes the Whisper model to convert spoken language into text, ideal for accurately documenting meetings and capturing essential discussions.

These features are designed not just to enhance productivity but also to foster a more inclusive and innovative working environment.

There are several ways to have the Multimodal GPT Slackbot up and running in just a few minutes:

1. Using the Pre-built Docker image:

• Pull the Docker image:

docker pull skydockai/multimodal_gpt_slackbot:latest        

• Configure environment variables: Download the config.env file and update the first three variables (SLACK_SOCKET_TOKEN, SLACK_BOT_USER_TOKEN, and OPENAI_KEY) with your Slack app tokens and OpenAI API key.
• Run the Docker image:

docker run --env-file ./config.env multimodal_gpt_slackbot:latest        

2. Building your own Docker image from source code:

• Clone the source code:

git clone https://github.com/skydockAI/multimodal_gpt_slackbot.git        

• Build the Docker image:

docker build -t multimodal_gpt_slackbot:latest .        

• Configure environment variables:: Open the config.env file and update the first three variables (SLACK_SOCKET_TOKEN, SLACK_BOT_USER_TOKEN, and OPENAI_KEY) with your Slack app tokens and OpenAI API key.
• Run the Docker image:

docker run --env-file ./config.env multimodal_gpt_slackbot:latest        

3. Using Docker Compose

• Clone the source code:

git clone https://github.com/skydockAI/multimodal_gpt_slackbot.git        

• Configure environment variables: Update the config.env file as described above.
• Run with Docker Compose:

docker compose up        

The Multimodal GPT Slackbot is publicly accessible on GitHub at https://github.com/skydockAI/multimodal_gpt_slackbot and is distributed under the GPL-3.0 license. This license permits any business to freely download, modify, and use it as an internal tool. For detailed information about the GPL-3.0 license, please visit this link.