Training new rasa model on the fly using http api – Stack Overflow

I am trying to train a rasa model when I add a new question from our UI. I’m doing this using the model/train http api using the below data.

intents:

• track_parcel
• leave_balance
  nlu:
• intent: track_parcel
  examples: ‘- Track parcel’
• intent: leave_balance
  examples: |-

After creating the model in the default path /models, I called the replace model http api for loading the current model. Then I tried localhost:5005/model/parse http api for getting the intent triggered using the below data

{

“text”: “jjjjjjj”,

“message_id”: “b2831e73-1407-4ba0-a861-0f30a42a2a5a”

}

But I got the track_parcel intent with 0.9 confidence

RESPONSE for model/parse api

{

“text”: “jjjjjjj”,

“intent”: {

"id": 99692160290177574,

"name": "track_parcel",

"confidence": 0.9580326676368713

},

“entities”: [],

“intent_ranking”: [

{

    "id": 99692160290177574,

    "name": "track_parcel",

    "confidence": 0.9580326676368713

},

{

    "id": -1362472849520625133,

    "name": "leave_balance",

    "confidence": 0.04196735471487045

}

],

“response_selector”: {

"all_retrieval_intents": [],

"default": {

    "response": {

        "id": null,

        "responses": null,

        "response_templates": null,

        "confidence": 0.0,

        "intent_response_key": null,

        "utter_action": "utter_None",

        "template_name": "utter_None"

    },

    "ranking": []

}

}
}

1. why I’m getting track_parcel intent with .9 confidence for an untrained random input? Do I need to make any changes in the pipeline. I’m using the default pipeline.

2. where can I see the newly trained nlu data. I tried to unzip the files in the model but could’t find the intents and examples.

3. For handling multi language application, I see a post that we need to append the language along with the intent. Then what should be the language given in the config.yml file?

Thanks