8/27/2024

Automating Meeting Summaries with Ollama

In today’s fast-paced work environment, meetings are essential for team collaboration & strategizing. However, the task of documenting meeting minutes can often feel like a burden that drags on productivity instead of enhancing it. What if I told you that you could automate this tedious task using Ollama? This post will dive deep into how to simplify the meeting documentation process by utilizing Ollama to generate automated meeting summaries. Let’s get started!

What is Ollama?

Ollama is a powerful tool designed to facilitate the management of Large Language Models (LLMs) that can process data intelligently. With Ollama, you can run various models like Llama 3.1, Phi, Mistral, and Gemma on your local machine. This implies that you can leverage the capabilities of these advanced AI models without relying on cloud-based services — keeping your data private & secure.

Why Automate Meeting Summaries?

Save Time: Generating meeting summaries manually can be an arduous task. Automating this process allows teams to allocate their time & efforts toward other productive activities.
Consistency: Automated summaries can ensure that every important detail is captured uniformly, reducing the risk of omitting critical information.
Enhanced Engagement: With less time spent on note-taking, participants can better engage in discussions during the meeting, leading to increased productivity.
Accessibility: Automated summaries can be easily shared with those who couldn't attend the meeting, ensuring everyone stays informed.

Setting Up Ollama to Automate Meeting Summaries

Step 1: Install Ollama

To begin automating meeting summaries with Ollama, first, you need to install it on your local machine. You can follow the official installation guide to get started, supporting macOS, Linux, & Windows.

Step 2: Choose Your Model

In this case, we will primarily look at using Gemma, which is designed for effectively summarizing content. You can run the Gemma model using the command:

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ollama run gemma:2b

This will enable the Gemma model locally, ready for processing your meeting data.

Step 3: Prepare Meeting Data

To summarize meetings effectively, you’ll need meeting transcripts. These can be gathered using transcription services integrated into online meeting platforms like Google Meet or Zoom. The transcripts typically come in JSON or text formats.

Step 4: Write a Script to Automate Summaries

Here’s a simple Python script structure you can use to automate your meeting summaries:

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import json
import requests

def load_conversation_data(filepath):
    with open(filepath) as f:
        data = json.load(f)
        conversation = list(map(lambda x: f"{x['speaker_id']}: {x['text']}", data))
        return "\n".join(conversation)

conversation_data = load_conversation_data("transcription.json")

# Assume we have a function to generate summary using Ollama
summary = ollama.chat(model='gemma:2b', messages=[
    { 'role': 'system', 'content': 'Your goal is to summarize the following meeting text' },
    { 'role': 'user', 'content': conversation_data }
])

print(summary['message']['content'])

This simple script loads a JSON transcription file, sends it to the Ollama model for summarization, & prints out the generated summary.

Step 5: Running the Summary Tool

You can run your script after setting everything up. The model should output a concise summary capturing key points discussed during the meeting.

Benefits of Using Ollama for Meeting Summaries

Real-time Summaries: Ollama can provide instant summaries while meetings continue. Participants can glimpse the progress of discussions right then.
Focus on Action Items: Models can put emphasis on action items, making it easier for team members to know their next steps.
Customizable Outputs: You have the flexibility to modify how summaries are generated. This might include adjusting the complexity of language used or the format of output (bullet points, detailed paragraphs, etc.).
Easy Integration with Existing Systems: Once you have developed your automated tool, it can be easily integrated into other systems you may use, such as project management software.

Tools and Libraries to Enhance Your Setup

While Ollama is a phenomenal tool for this purpose, you can further enhance it with additional tools:

Stream Video SDK: If using video conferencing tools, this SDK can help in capturing and transcribing meetings effectively.
Notion or Obsidian: These note-taking platforms can store your summaries, allowing for easy retrieval & sharing within teams.
APIs for Integration: You can use APIs to integrate your summaries with data sources, making them more accessible to your users.

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Conclusion

Automating meeting summaries with Ollama revolutionizes how teams can manage & document their discussions, making meetings far more productive! With just a few simple steps and the mighty capabilities of Ollama, you can say goodbye to tedious note-taking & hello to streamlined processes. Don’t forget to explore how Arsturn can further enhance your business engagement today!

Happy summarizing!

Feel free to share your experiences with Ollama or any questions regarding the setup in the comments below.