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A contextual Chatbot with entities extractor build with TensorflowJS and NodeJS

Install dependencies and run.

$ npm cd ChatBotNodeJS
$ npm install
$ npm start

Install dependencies and run with sample train.

$ npm cd ChatBotNodeJS
$ npm install
$ npm run seed
$ npm start

$ npm cd ChatBotNodeJS
$ docker network create backend-bot
$ docker network create frontend-bot
$ docker-compose up --build

$ docker pull docker.pkg.github.com/ran-j/chatbotnodejs/chatbotnodejs:latest
$ docker run --publish 3000:3000 --detach --name chatbotnodejs chatbotnodejs:latest

Change mongoURI in ./bin/Config.js

• To interact with bot: http://localhost:3007/
• To train bot intents: http://localhost:3007/admin/intents
• To train bot synonyms: http://localhost:3007/admin/synonyms

You can register your intents and the build agent.

• Auth
• User CRUD
• Fallback dashboard
• Token for requests
• Metricis (Count request numbers ...)
• Entity Extractor
• Docker
• Update Tensorflow JS
• Log conversation and fallbacks
• Data table for intents list
• Optimizations on train and answer