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BLAZE - Conversational AI

These instructions will soon be updated! This feature is currently being stabilized, and will be ready soon!

  

We can build the conversational model with

python -m conv build

This step may take about 15 minutes without a GPU

And run the AI in the command line with

python -m conv converse

To run the webex bot server, start an ngrok tunnel with

ngrok http 8080 --region=eu

It is important that the region is not 'us'.

Set the environment variables BOT_ACCESS_TOKEN (received when you register your bot) and WEBHOOK_URL (generated by ngrok) and change to the conv directory. Then run

python webex_bot_server.py

Sources for training data

  • greet: food_ordering/greet/train.txt
  • exit: food_ordering/exit/train.txt
  • ask_question: manual data entry + mindmeld data augmentation
  • get_summary: manual data entry + mindmeld data augmentation
  • upload_data: manual data entry + mindmeld data augmentation