@souvikg10 thank you for your answer.
The path I give in the --path parameter is the same one I cd into when I start the server.
The models I try to train show up this way when I use curl localhost:5000/status | python -mjson.tool
"status": "failed",
"error_message": "[Failure instance: Traceback (failure with no frames): <class 'rasa_nlu.train.TrainingException'>: <TrainingException instance at 0x18a5bacc228 with str error:\n Traceback (most recent call last):\n File \"C:\\Users\\Asus\\Anaconda3\\envs\\py\\lib\\site-packages\\twisted\\python\\reflect.py\", line 448, in safe_str\n return str(o)\nTypeError: __str__ returned non-string (type int)\n>\n]",
"current_training_processes": 0,
"available_models": [
"fallback"
],
"loaded_models": [
"fallback"
]
}
I tried with both the tensorflow_embedding pipeline and the spacy-sklearn pipeline.