Rasa API Response

Rasa Open Source
1

Hi. I’m integrating the Rasa API to backend of my website. I tried connecting the “Train Your Model” webhook. The server responds 500. My code chunk and the payload is as following: Code: modelTrainLoad = json.dumps({

       {

        "domain": "intents:\n  - greet\n  - goodbye\n  - affirm\n  - deny\n  - mood_great\n  - mood_unhappy\n\nresponses:\n  utter_greet:\n  - text: \"Hey! How are you?\"\n\n  utter_cheer_up:\n  - text: \"Here is something to cheer you up:\"\n    image: \"https://i.imgur.com/nGF1K8f.jpg\"\n\n  utter_did_that_help:\n  - text: \"Did that help you?\"\n\n  utter_happy:\n  - text: \"Great carry on!\"\n\n  utter_goodbye:\n  - text: \"Bye\"",

        "config": "language: en\npipeline: supervised_embeddings\npolicies:\n  - name: MemoizationPolicy\n  - name: TEDPolicy",

        "nlu": "- intent: greet\n  examples: |\n    - hey\n    - hello\n    - hi\n\n- intent: goodbye\n  examples: |\n    - bye\n    - goodbye\n    - have a nice day\n    - see you\n\n- intent: affirm\n  examples: |\n    - yes\n    - indeed\n\n- intent: deny\n  examples: |\n    - no\n    - never\n\n- intent: mood_great\n  examples: |\n    - perfect\n    - very good\n    - great\n\n- intent: mood_unhappy\n  examples: |\n    - sad\n    - not good\n    - unhappy",

        "responses": "chitchat/ask_name: - text: my name is Sara, Rasa's documentation bot! chitchat/ask_weather: - text: it's always sunny where I live",

        "stories": "- story: happy path\n  steps:\n  - intent: greet\n  - action: utter_greet\n  - intent: mood_great\n  - action: utter_happy\n\n- story: sad path 1\n  steps:\n  - intent: greet\n  - action: utter_greet\n  - intent: mood_unhappy\n  - action: utter_cheer_up\n  - action: utter_did_that_help\n  - intent: affirm\n  - action: utter_happy\n\n- story: sad path 2\n  steps:\n  - intent: greet\n  - action: utter_greet\n  - intent: mood_unhappy\n  - action: utter_cheer_up\n  - action: utter_did_that_help\n  - intent: deny\n  - action: utter_goodbye\n\n- story: say goodbye\n  steps:\n  - intent: goodbye\n  - action: utter_goodbye",

}

        })

    modelTrain = requests.post('http://localhost:5005/model/train', data=modelTrainLoad)

    print('modelTrain: ' + str(modelTrain))

Following is the error on CMD: No training data given. Please provide stories and NLU data in order to train a Rasa model using the ‘–data’ argument. 2021-08-24 14:33:33 ERROR rasa.server - Ran training, but it finished without a trained model.

2

Hey @msbt, welcome to the forum :slightly_smiling_face:

I noticed that you’re using a pipeline template (supervised_embeddings). However, pipeline templates are deprecated in Rasa Open Source 2.x (I reckon that the example payload here is a bit out-dated). What version of Rasa are you using? If you’re using Rasa 2.x, can you specify the pipeline explicitly, as you’d do in your config file? I’m sure we’ll get this working :slight_smile: