I am working on a django appication. The application has a form with which a user can chat with a bot. This is just a test application for learning and the bot cannot do much.
For the chatbot, I trained a rasa model with a few intents and entities. Once the model was trained, I ran the model as a server with the following command
rasa run -m models --enable-api --log-file out.log
When the user types a message in the form and submits the form, a request is sent to the rasa server and the intent and entities of the message is received as a response.
Now my question is, is there any way for me to use slots to store some of the entities, so as not ask the user for info already provided. And if this is not possible, how do I use rasa core features like stories and slots with django? When I tried researching on this, I could only find on how to use the bot with slack.