1. Download & link language model of Spacy for the english language

>>> pip install rasa_nlu
>>> pip install rasa_core

2) For better result we can use large model: 
>>> python -m spacy download en_core_web_lg

3. Linking manually:

python -m spacy link en_core_web_lg en

4. ###Train

#####train nlu

python -m rasa_nlu.train -c nlu_config.yml --data nlu.md -o models --fixed_model_name nlu --project default

5. #####train core

python -m rasa_core.train -d domain.yml -s stories.md -c policy_config.yml -o models/dialogue

6. ####Interactive training

python -m rasa_core.train interactive -o models/dialogue -d domain.yml -s stories.md --nlu models/default/nlu --endpoints endpoints.yml --config policy_config.yml

7. ######Main Functionality for testing######## ######Run################

#####rasa core nlu tracker #####actions

python -m rasa_core_sdk.endpoint --actions actions --port 8000

python run_all.py

###chatbot

yarn install
yarn build
yarn serve