Long Thread; Didn't Read

You step away from your computer or take ONE day off and come back to a long email thread of back and forth. This project takes those long-threads and applies artificial intelligence (AI) to create an abstractive text summarization of the key points you need to know to save you the time of catching back up.

Thread Summary includes:

• text summarization
• count of the number of participants and messages
• count of the number of words and approximate reading time
• duration and rate of responses in the email thread to understand velocity

Run the Demo

1. Copy .example.env to .env and replace with your own credentials.
2. Run npm install && npm start from the backend directory.
3. Run npm install && npm start from the frontend directory.

Details

For more details and a recorded video walkthrough visit the hackathon project page: https://devpost.com/software/long-thread-didn-t-read

Implementation

• React Front-end
• Node.js Back-end
• Nylas Email API: https://nylas.com
• Hugging Face Inference API: https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#summarization
• with facebook/bart-large-cnn model for the text summarization: https://huggingface.co/docs/transformers/model_doc/bart