Seamless Customer Support

Description and features list

An open-source web-application easily embeddable into customer's service for seamless usability both for clients (people who ask the questions) and volunteers (people who answer questions)

For that purpose we provide

• embeddable (via iframe) website
• API for bots
• semantic text parsing (to recognize already asked questions and show answers for them)

Technologies stack

• Python 3.10
• Typescript 4.7
• Flask 2.1.2
• FastAPI 0.78
• BERT
• Google Firebase

Project installation

Using docker compose

• go to the project root docker compose up
• wait for initial building
• to stop
• press ^C for a few times or docker compose down

without docker compose

you need

• python ~= 3.10
• pip corresponding to your python version

Add telegram token

• move to bot directory

cd ./telegram_server

• copy .env.tpl

cp .env.tpl .env

• add your token to .env file (Use any text editor)

vim .env

• go back to project root

cd ..

Add firebase token

Create an environment variable firebase_key and set its value to either:

• path to .json token
• token data in json format

Install python requirements

• you may wish to use python virtual env
• install dependencies via pip

pip install -r requirements.txt

How to use

Run server

python ./master_router.py

For developers

• we provide run.sh script and ts.config to automate process of recompiling
• if you write on js, be aware, script deletes content of ./flask_server/static/js

Demo