Unfortunately that doesn’t pass too… is there any way that i can inject rasa models without training/uploading ? if not i’m stuck and i don’t know how to proceed .
These are my files :
Thank you in advance .(BTW the training does work in my local project , so i think this issue has to do with Rasa X Deployment .
Additional info :
code error 500 ,preview in browser :
{version: “0.27.6”, status: “failure”, message: “Failed to train a Rasa model.”,…}
code: 500
details: “500, Internal Server Error, body=‘b’{“version”:“1.9.6”,“status”:“failure”,“message”:“An unexpected error occurred during training. Error: Model 'fr_core_news_sm' is not a linked spaCy model. Please download and\/or link a spaCy model, e.g. by running:\npython -m spacy download en_core_web_md\npython -m spacy link en_core_web_md en”,“reason”:“TrainingError”,“details”:{},“help”:null,“code”:500}‘’”
Okay so stopping and restarting the docker containers resolved the issue , as soon as the containers were up and running again , the UI updated itself :
either way , i’m glad i didn’t get stuck here. I’ll mark your reply as solution for this issue , but further investigation by me is needed . Thanks for you efforts Akela .
I see in rasa -1.9 and rasa x 0.25 ui i cant train my model at all but rasa train on same folder structure works.The rasa UI based training isnot working
The below is the error that I saw
2020-05-07 00:34:48 ERROR sanic.root - Exception occurred while handling uri: ‘http://xxxxxxxx:5005/api/projects/default/models/jobs’
Traceback (most recent call last):
File “/var/rasa/rasa_workshop/venv/lib/python3.7/site-packages/sanic/app.py”, line 976, in handle_request
response = await response
File “/var/rasa/rasa_workshop/venv/lib/python3.7/site-packages/rasax/community/api/decorators.py”, line 205, in decorated_function
return await await_and_return_response(args, kwargs, request)
File “/var/rasa/rasa_workshop/venv/lib/python3.7/site-packages/rasax/community/api/decorators.py”, line 135, in await_and_return_response
response = await response
File “/var/rasa/rasa_workshop/venv/lib/python3.7/site-packages/rasax/community/api/blueprints/models.py”, line 191, in train_model
content = await stack_service.start_training_process()
File “/var/rasa/rasa_workshop/venv/lib/python3.7/site-packages/rasax/community/services/stack_service.py”, line 352, in start_training_process
nlu_training_data = nlu_training_data.filter_training_examples(
AttributeError: ‘TrainingData’ object has no attribute ‘filter_training_examples’
Hi guys,
Here is my situation, Windows 10 ,manaual install docker compose, I get the same issue as you met, which got red error .
After I check and compare my another linux environment which can train/upload model well ,I delete special character in .env ,then it’s worked