Hi. I just tried migrating from Dialogflow to Rasa. I’m relatively new to Rasa. I followed the instructions. I’ve placed the dialogflow exported agent folder in the empty rasa/data folder. One thing I noted is that while the intents and entities are exported in the dialoglfow zip file the fulfilment code doesn’t seem to be exported.
The errors i’m getting when I run rasa train nlu:
rasa.nlu.training_data.formats.dialogflow - No training examples found for dialogflow file data\chads\intents\Default Fallback Intent.json!
And the above happens with each of the intents ie there are no training examples.
- Training data stats: - intent examples: 0 (0 distinct intents) - Found intents: - entity examples: 0 (0 distinct entities) - found entities:
When I run rasa shell nlu the error output is:
rasa.nlu.classifiers.embedding_intent_classifier - Failed to load nlu model. Maybe path C:\Users\jxxxxx\AppData\Local\Temp\tmpylw2bdth\nlu doesn’t exist NLU model loaded. Type a message and press enter to parse it. Next message: Hello 2019-09-24 11:03:05 ERROR rasa.nlu.featurizers.count_vectors_featurizer - There is no trained CountVectorizer: component is either not trained or didn’t receive enough training data 2019-09-24 11:03:05 ERROR rasa.nlu.classifiers.embedding_intent_classifier - There is no trained tf.session: component is either not trained or didn’t receive enough training data { “intent”: { “name”: null, “confidence”: 0.0 }, “entities”: [], “intent_ranking”: [], “text”: “yes” } Next message:
Advice would be great.
Thanks.