remove token option

docs/evaluation.rst

@@ -12,7 +12,7 @@ The evaluation script `evaluate.py` allows you to test your models performance f
         --model projects/default/model_20180323-145833
 
 Where **model** specifies the model to evaluate on the test data specified
-wioth **data**.
+with **data**.
 
 If you would like to evaluate your pipeline using
 *cross-validation*, you can run the evaluation script with the mode

docs/tutorial.rst

@@ -139,8 +139,6 @@ What do these parameters mean?
 - **config**: configuration of the machine learning model
 - **data**: file or folder that contains the training data. You may instead
 specify a URL from which to fetch training data with the ``--url`` option.
-If you also need an authentication token, use the ``--token`` option in
-addition.
 - **path**: output path where the model is persisted to
 
 If you want to know more about the parameters, there is an overview of the

rasa_nlu/train.py

@@ -46,13 +46,6 @@ def create_argument_parser():
                        help="URL of the server from which to receive the "
                             "training data")
 
-    parser.add_argument('--token',
-                        default=None,
-                        help="Optional authentication string that might be "
-                             "needed to retrieve training data from a URL. "
-                             "The token gets appended to the query string "
-                             "with `?token=<TOKEN>`.")
-
     parser.add_argument('-c', '--config',
                         required=True,
                         help="Rasa NLU configuration file")
@@ -138,7 +131,6 @@ def do_train(cfg,  # type: RasaNLUModelConfig
              fixed_model_name=None,  # type: Optional[Text]
              storage=None,  # type: Optional[Text]
              component_builder=None,  # type: Optional[ComponentBuilder]
-             token=None,  # type: Optional[Text]
              **kwargs  # type: Any
              ):
     # type: (...) -> Tuple[Trainer, Interpreter, Text]
@@ -149,7 +141,7 @@ def do_train(cfg,  # type: RasaNLUModelConfig
     # trained in another subprocess
     trainer = Trainer(cfg, component_builder)
     persistor = create_persistor(storage)
-    training_data = load_data(data, cfg.language, token)
+    training_data = load_data(data, cfg.language)
     interpreter = trainer.train(training_data, **kwargs)
 
     if path:
@@ -174,6 +166,5 @@ def do_train(cfg,  # type: RasaNLUModelConfig
              cmdline_args.project,
              cmdline_args.fixed_model_name,
              cmdline_args.storage,
-             num_threads=cmdline_args.num_threads,
-             token=cmdline_args.token)
+             num_threads=cmdline_args.num_threads)
     logger.info("Finished training")

rasa_nlu/training_data/loading.py

@@ -48,15 +48,13 @@
 }
 
 
-def load_data(resource_name, language='en', token=None):
+def load_data(resource_name, language='en'):
     # type: (Text, Optional[Text]) -> TrainingData
     """Load training data from disk or a URL.
 
     Merges them if loaded from disk and multiple files are found."""
 
     if utils.is_url(resource_name):
-        if token is not None:
-            resource_name += '?token={}'.format(token)
         try:
             response = requests.get(resource_name)
             response.raise_for_status()