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Create a virtual environment and install dependencies
python3 -m venv venv
source venv/bin/activate (Linux/UNIX)
venv\Scripts\activate (Windows)
pip install -r requirements.txt
Train model
python3 -m rasa train
Run rasa in terminal
python3 -m rasa shell
Train rasa with examples while running it on terminal
python3 -m rasa interactive
Run RASA on web (needs to be updated, use shell/interactive in the meantime)
Clone this repository and run the following command in the terminal -
rasa run actions
python3 -m rasa run --enable-api --cors="*"
Run the index.html file in Frontend-Widget.
How to add data to dataset
Add intent examples to data/nlu.yml
- intent: new_intent_nameexamples: | - some intent examples - make sure the examples help train the AI - and has all necessary keywords as well as variations of the keywords - minimum 5 examples are recommended - these examples all correspond to the same intent and will be mapped to a particular response so kindly do not club various examples together.
Add intent name and response to domain.yml
intents:
- existing_intent_name
- new_intent_name...responses:
utter_new_intent_name:
- text: "The response to new_intent_name"
- image: "https://image.com/image.png"# optional
Add rules to data/rules.yml to map the intent and response
- rule: Do action when asked about intentsteps:
- intent: new_intent_nameaction: utter_new_intent_name
