my_rasa_bot

Rasa chat bot -- JUICERO please open files in Read_Me folder

demo vedio on youtube: link

Building and running via docker

start/stop your application with docker:

1. docker compose down -v properly shut-down if it was running before.
2. docker compose up --build. Start application , it may take a some time and space.
   Your application will be available at http://localhost:8000 .
3. docker compose down -v to properly shut-down

Steps to run without docker

1. install python 3.7.4
2. setup cmds for windows.
   -python -m venv myenv --Install virtual env.
   -myenv/scripts/activate ---Activate virtual env.
   -pip install --upgrade pip==19.3 setuptools wheel --Make sure this is done successfully.
   -pip install -r requirements.txt or below cmd -pip install rasa==2.5.1 rasa-sdk==2.5.0 mysql-connector-python==8.0.25 --To install project dependecies.
   
3. in ./endpoints.yml and ./actions/actions.py replace 'host.docker.internal' by 'localhost'. make sure you have a mysql db running and apply to it the cmds in ./myrasabot-dump.sql .
   follow to save .sql dump file as UTF 8 if mysql server throws similar error link
4. rasa train -- model will be saved in ./models directory
5. in terminal 1: rasa run actions --debug
6. in terminal 2: rasa run -m models --enable-api --cors '*' --debug
7. for front end [ use chrome and zoom at 80% for best view ] either
   -simply open ./my_rasa_bot_front_end/index.html via any browser
   -or python -m http.server 8000 --directory ./my_rasa_bot_front_end and open localhost:8000 in chrome at 80% zoom.
8. when done exit virtual evn cmd = deactivate in windows