SummarizeMe: Your Meeting TL;DR App

SummarizeMe is an AI-powered app for transcribing meeting recordings, generating summarized meeting notes, extracting key points and action items, and creating video summaries.

This project utilizes Amazon Transcribe for speech-to-text conversion, Amazon Bedrock to summarize meeting transcriptions, and HeyGen for video creation.

Read the full post on community.aws

🎯 Features

• Transcribe audio/video content using Amazon Transcribe
• Summarize meeting transcriptions using Anthropic's Claude 3 in Amazon Bedrock
• Extract key points and action items from the meeting
• Create video summaries using HeyGen
• Save transcriptions, key points, and action items to separate text files

🛠 Setup

1. Clone this repository
2. Install required packages: pip install -r requirements.txt
3. Configure your AWS and HeyGen credentials in a local .env file (see .env.template for reference)
4. Ensure you have the necessary permissions set up in your AWS account for:
   • Amazon Transcribe
   • Amazon Bedrock (including access to Anthropic Claude 3 Haiku)

📚 File Structure

• app.py: Main application script
• bedrock/claude_model.py: Handles interaction with Amazon Bedrock for summarization
• transcription/transcribe.py: Manages meeting recording transcription using Amazon Transcribe
• utils/file_utils.py: Contains utility functions for file operations
• video/create_heygen_video.py: Handles video creation using HeyGen
• .env: Contains environment variables (not tracked in git, see .env.template for reference)
• requirements.txt: Lists all Python dependencies for the project

🚀 Usage

Run the main script:

python app.py

The script will then:

1. Prompt you for the input file path
2. Transcribe the audio/video using Amazon Transcribe
3. Summarize the transcription and extract key points and action items using Amazon Bedrock
4. Create a video summary using HeyGen
5. Save the transcription, key points, and action items to separate text files

The output files will be named:

• [original_file_name]_transcription.txt
• [original_file_name]_key_points.txt
• [original_file_name]_action_items.txt

A video summary will also be created and saved in your HeyGen account.

👀 Example

Here's an example of how to use SummarizeMe with the provided sample files:

1. Ensure you have set up the project as described in the Setup section.
2. Run the script: python app.py
3. When prompted for the input file path, enter: example/alpha_project_meeting.mp3
4. The script will process the audio file and generate the following outputs:
   • Transcription: alpha_project_meeting_transcription.txt
   • Key points: alpha_project_meeting_key_points.txt
   • Action items: alpha_project_meeting_action_items.txt
   • Video summary: The video will be created in your HeyGen account.

🎥 Generated Example Video

Check out the generated example video: SummarizeMe in Action

This example demonstrates how SummarizeMe can quickly process a meeting recording and provide valuable insights and summaries.

📌 Notes

• Ensure that your AWS account has the necessary permissions and quotas for using Amazon Transcribe and Amazon Bedrock services.
• Make sure you have access to the chosen foundation model in Amazon Bedrock.
• The summarization quality depends on the chosen foundation model, inference parameters, and prompt and may vary based on the content and length of the meeting transcription.
• Ensure you have a valid HeyGen API key for video creation functionality.

📝 License

This library is licensed under the MIT-0 License. See the LICENSE file.