RASA-Chatbot

Conversational chatbot created using RASA NLP

How to use:

run_training will default train data, use this if you want to train from data in files.

run_action_server will run the local action server, must be run if you want actions to work.

run_chatbot will run the chatbot in a window.

call from terminal using ./ when in root directory

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
.idea		.idea
__pycache__		__pycache__
actions		actions
models		models
venv		venv
.gitignore		.gitignore
LICENSE		LICENSE
Main.py		Main.py
Makefile		Makefile
README.md		README.md
__init__.py		__init__.py
domain.yml		domain.yml
endpoints.yml		endpoints.yml
nlu.md		nlu.md
nlu_config.yml		nlu_config.yml
rasa_core.log		rasa_core.log
run_action_server		run_action_server
run_action_server.bat		run_action_server.bat
run_chatbot		run_chatbot
run_chatbot.bat		run_chatbot.bat
run_train_dialogue_model		run_train_dialogue_model
run_train_dialogue_model.bat		run_train_dialogue_model.bat
run_train_nlu_model_json.bat		run_train_nlu_model_json.bat
run_train_nlu_model_md		run_train_nlu_model_md
run_train_nlu_model_md.bat		run_train_nlu_model_md.bat
run_training		run_training
run_training.bat		run_training.bat
stories.md		stories.md
test.py		test.py
testData.json		testData.json
trainer.py		trainer.py