First why you are pointing to a python file in your path. path should determine where your projects are stored. Typically they are several models per project. in your case if you have trained without mentioning a project then the project is default. so path should be the path to where your projects are stored
the model parameters in your query string should point to a model name instead of a model path
Hey @nahidalam. Souvik is absolutely right, the first thing you should change is the path you provide when you start the server. It shouldn’t point to the python file which you used to train the model. Instead, the path should point to the actual model (which if you are following the weatherbot tutorial is /models/dialogue/ for a dialogue management model and /models/nlu/default/weathernlu for the nlu model).
Can you give an example? The reason I have a file path because thats the only way I found the intent retrieval from nlu server working. I tried what @souvikg10 and @Juste mentioned but couldn’t make it work. What am I missing?
this is all you need. Since in your training script, you don’t provide a model name nor a project name, it will consider the default project name as ‘default’ and model name as ‘model_timestamp’ and will look under the folder where you have kept the projects which you have mentioned in your server run command.
why iam getting only null and greet intents.
I used python -m rasa_nlu.server --path projects
to start server but i am unable to load my intents instead it is fall backing only to greet and null intents.Between what is projects at the end of above command actually mean