Reputation: 1328
I want to repeatedly train rasa from an API so it provides more customized responses. The same json data is below & I tried to follow the format in the docs found here
test_json = {
"rasa_nlu_data": {
"common_examples": [{
"intent": "sad",
"text": "I am not happy with the service"
},
{
"intent": "praise",
"text": "You're a genius"
}
],
"regex_features": [],
"lookup_tables": [],
"entity_synonyms": []
}
}
I start rasa like this rasa run -m models --enable-api --cor‘*’ --debug
.
Then I try to post the json to the training endpoint like so
r2 = requests.post('http://localhost:5005/model/train', data=test_json)
A screenshot of the terminal
Does anyone know why it's not taking the data? Is it not formatted correctly or am I missing something else?
Upvotes: 0
Views: 520
Reputation: 96
I want to repeatedly train rasa from an API ... I start rasa like this rasa run -m models --enable-api --cor‘*’ --debug.
In order to use a model, you need to train it first. If you add a new training example, you need to retrain the model and then you can call rasa run
to use it: https://rasa.com/docs/rasa/user-guide/configuring-http-api/#using-rasa-s-http-api
r2 = requests.post('http://localhost:5005/model/train', data=test_json)
The request body schema for that endpoint does not include data
. Check out the docs for training a model: https://rasa.com/docs/rasa/api/http-api/#operation/trainModel
I also recommend checking out https://forum.rasa.com/
Upvotes: 1