Create a customer service bot from any CSV or question/answer dataset.
Built for the Sentiment & Opinion Mining hackathon.
Powered by expert.ai for information extraction and bot dialogue.
https://docs.google.com/presentation/d/1fLPORsXEtYSHxpIQdB-LL4HICs6gL5utpdlWhnvobbw/edit?usp=sharing
Backend server
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Add your expert.ai credentials following the steps here: https://github.com/therealexpertai/nlapi-python#authorization.
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Run the below commands:
pip install -r requirements.txt uvicorn main:app --reload
Frontend service-bot
yarn yarn start
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To get started, upload a csv on the front end that has your question database in the two column format: question,answer. See
data/example.csvas an example. -
Once a csv is uploaded, the data will be saved in a file
server/db.json. To create a bot based on a new dataset, delete this file and refresh the website. -
The bot uses expert.ai's relevant term resource analysis to match customer inquiry to a closest matching result from a dataset. If the bot is unable to find a remote match it will display a generic error message. The bot will work more effectively in more scenarios with a larger csv or connected dataset.
