Merge pull request #6052 from mcminis1/6051_jupyter_chat_action_endpoint

adding in endpoints parameter for the jupyter.chat method

changelog/6052.improvement.rst

@@ -0,0 +1 @@
+Add endpoint kwarg to rasa.jupyter.chat to enable using a custom action server while chatting with a model in a jupyter notebook.

docs/api/jupyter-notebooks.rst

@@ -84,14 +84,14 @@ Chat with your assistant
 ~~~~~~~~~~~~~~~~~~~~~~~~
 
 To start chatting to an assistant, call the ``chat`` function, passing
-in the path to your saved model:
+in the path to your saved model. If you do not have custom actions you can set `endpoints = None` or omit it:
 
 
 .. runnable::
 
    from rasa.jupyter import chat
-   chat(model_path)
-
+   endpoints = "endpoints.yml"
+   chat(model_path, endpoints)
 
 
 Evaluate your model against test data

docs/conf.py

@@ -13,6 +13,8 @@
 ]
 linkcheck_retries = 2
 linkcheck_timeout = 5
+sphinx_tabs_valid_builders = ['linkcheck']
+
 # If your documentation needs a minimal Sphinx version, state it here.
 # needs_sphinx = '1.0'
 
@@ -421,13 +423,13 @@
 
 
 def setup(sphinx):
-    sphinx.add_stylesheet("css/custom.css")
+    sphinx.add_css_file("css/custom.css")
 
     try:
         utils_path = os.path.abspath(os.path.join(__file__, "..", "utils"))
         sys.path.insert(0, utils_path)
         from StoryLexer import StoryLexer
 
-        sphinx.add_lexer("story", StoryLexer())
+        sphinx.add_lexer("story", StoryLexer)
     except ImportError:
         print("No Story Lexer :( Sad times!")

rasa/jupyter.py

@@ -15,13 +15,15 @@ def pprint(obj: Any):
 
 def chat(
     model_path: Optional[Text] = None,
+    endpoints: Optional[Text] = None,
     agent: Optional["Agent"] = None,
     interpreter: Optional[NaturalLanguageInterpreter] = None,
 ) -> None:
     """Chat to the bot within a Jupyter notebook.
 
     Args:
         model_path: Path to a combined Rasa model.
+        endpoints: Path to a yaml with the action server is custom actions are defined.
         agent: Rasa Core agent (used if no Rasa model given).
         interpreter: Rasa NLU interpreter (used with Rasa Core agent if no
                      Rasa model is given).
@@ -30,7 +32,7 @@ def chat(
     if model_path:
         from rasa.run import create_agent
 
-        agent = create_agent(model_path)
+        agent = create_agent(model_path, endpoints)
 
     elif agent is not None and interpreter is not None:
         # HACK: this skips loading the interpreter and directly