I'm trying to install my first rasa project but when I run rasa train I get those error messages. can someone help me? (Sorry If is too messy its my first time in StackOverflow)
(venv) ➜ rasa-init-demo rasa train The configuration for policies and pipeline was chosen automatically. It was written into the config file at 'config.yml'. Training NLU model... 2021-02-08 18:38:15 INFO rasa.shared.nlu.training_data.training_data - Training data stats: 2021-02-08 18:38:15 INFO rasa.shared.nlu.training_data.training_data - Number of intent examples: 69 (7 distinct intents)
2021-02-08 18:38:15 INFO rasa.shared.nlu.training_data.training_data - Found intents: 'deny', 'goodbye', 'mood_unhappy', 'affirm', 'greet', 'mood_great', 'bot_challenge' 2021-02-08 18:38:15 INFO rasa.shared.nlu.training_data.training_data - Number of response examples: 0 (0 distinct responses) 2021-02-08 18:38:15 INFO rasa.shared.nlu.training_data.training_data - Number of entity examples: 0 (0 distinct entities) 2021-02-08 18:38:15 INFO rasa.nlu.model - Starting to train component WhitespaceTokenizer 2021-02-08 18:38:15 INFO rasa.nlu.model - Finished training component. 2021-02-08 18:38:15 INFO rasa.nlu.model - Starting to train component RegexFeaturizer 2021-02-08 18:38:15 INFO rasa.nlu.model - Finished training component. 2021-02-08 18:38:15 INFO rasa.nlu.model - Starting to train component LexicalSyntacticFeaturizer 2021-02-08 18:38:15 INFO rasa.nlu.model - Finished training component. 2021-02-08 18:38:15 INFO rasa.nlu.model - Starting to train component CountVectorsFeaturizer 2021-02-08 18:38:15 INFO rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer - 80 vocabulary slots consumed out of 1080 slots configured for text attribute. 2021-02-08 18:38:15 INFO rasa.nlu.model - Finished training component. 2021-02-08 18:38:15 INFO rasa.nlu.model - Starting to train component CountVectorsFeaturizer 2021-02-08 18:38:15 INFO rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer - 697 vocabulary slots consumed out of 1697 slots configured for text attribute. 2021-02-08 18:38:15 INFO rasa.nlu.model - Finished training component. 2021-02-08 18:38:15 INFO rasa.nlu.model - Starting to train component DIETClassifier Traceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/impl/api.py", line 584, in converted_call converted_f = conversion.convert(target_entity, program_ctx) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/impl/conversion.py", line 118, in convert transformed, module, source_map = _TRANSPILER.transform_function( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/pyct/transpiler.py", line 411, in transform_function factory = self._transformed_factory(fn, caching_subkey, user_context, File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/pyct/transpiler.py", line 373, in _transformed_factory nodes, ctx = self._transform_function(fn, user_context) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/pyct/transpiler.py", line 339, in _transform_function node = self.transform_ast(node, context) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/impl/conversion.py", line 69, in transform_ast node = qual_names.resolve(node) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/pyct/qual_names.py", line 252, in resolve return QnResolver().visit(node) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 371, in visit return visitor(node) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 456, in generic_visit new_node = self.visit(old_value) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 371, in visit return visitor(node) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 447, in generic_visit value = self.visit(value) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 371, in visit return visitor(node) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/pyct/qual_names.py", line 217, in visit_Name node = self.generic_visit(node) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 456, in generic_visit new_node = self.visit(old_value) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 371, in visit return visitor(node) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/pyct/qual_names.py", line 230, in visit_Subscript node = self.generic_visit(node) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 456, in generic_visit new_node = self.visit(old_value) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 371, in visit return visitor(node) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 447, in generic_visit value = self.visit(value) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/ast.py", line 371, in visit return visitor(node) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/pyct/qual_names.py", line 232, in visit_Subscript if not isinstance(s, gast.Index): AttributeError: module 'gast' has no attribute 'Index'
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/3.8/bin/rasa", line 8, in sys.exit(main()) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/main.py", line 116, in main cmdline_arguments.func(cmdline_arguments) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/cli/train.py", line 58, in train_parser.set_defaults(func=lambda args: train(args, can_exit=True)) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/cli/train.py", line 90, in train training_result = rasa.train( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/train.py", line 94, in train return rasa.utils.common.run_in_loop( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/utils/common.py", line 308, in run_in_loop result = loop.run_until_complete(f) File "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/train.py", line 163, in train_async return await _train_async_internal( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/train.py", line 342, in _train_async_internal await _do_training( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/train.py", line 388, in _do_training model_path = await _train_nlu_with_validated_data( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/train.py", line 811, in _train_nlu_with_validated_data await rasa.nlu.train( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/nlu/train.py", line 116, in train interpreter = trainer.train(training_data, **kwargs) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/nlu/model.py", line 209, in train updates = component.train(working_data, self.config, **context) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/nlu/classifiers/diet_classifier.py", line 816, in train self.model.fit( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/utils/tensorflow/models.py", line 220, in fit ) = self._get_tf_train_functions(eager, model_data, batch_strategy) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/utils/tensorflow/models.py", line 481, in _get_tf_train_functions self._get_tf_call_model_function( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/utils/tensorflow/models.py", line 464, in _get_tf_call_model_function tf_call_model_function(next(iter(init_dataset))) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 780, in call result = self._call(*args, **kwds) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 823, in _call self._initialize(args, kwds, add_initializers_to=initializers) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 696, in _initialize self._stateful_fn._get_concrete_function_internal_garbage_collected( # pylint: disable=protected-access File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 2855, in _get_concrete_function_internal_garbage_collected graph_function, _, _ = self._maybe_define_function(args, kwargs) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 3213, in _maybe_define_function graph_function = self._create_graph_function(args, kwargs) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 3065, in _create_graph_function func_graph_module.func_graph_from_py_func( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/framework/func_graph.py", line 986, in func_graph_from_py_func func_outputs = python_func(*func_args, **func_kwargs) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 600, in wrapped_fn return weak_wrapped_fn().wrapped(*args, **kwds) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/framework/func_graph.py", line 962, in wrapper return autograph.converted_call( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/impl/api.py", line 591, in converted_call return _fall_back_unconverted(f, args, kwargs, options, e) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/impl/api.py", line 398, in _fall_back_unconverted return _call_unconverted(f, args, kwargs, options) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/autograph/impl/api.py", line 339, in _call_unconverted return f(*args, **kwargs) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/utils/tensorflow/models.py", line 293, in train_on_batch prediction_loss = self.batch_loss(batch_in) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/nlu/classifiers/diet_classifier.py", line 1417, in batch_loss sequence_lengths = self._get_sequence_lengths( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/utils/tensorflow/models.py", line 1112, in _get_sequence_lengths sequence_lengths = tf.ones([batch_dim], dtype=tf.int32) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/util/dispatch.py", line 201, in wrapper return target(*args, **kwargs) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/ops/array_ops.py", line 3041, in ones output = _constant_if_small(one, shape, dtype, name) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/ops/array_ops.py", line 2732, in _constant_if_small if np.prod(shape) < 1000: File "<array_function internals>", line 5, in prod File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/numpy/core/fromnumeric.py", line 3030, in prod return _wrapreduction(a, np.multiply, 'prod', axis, dtype, out, File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/numpy/core/fromnumeric.py", line 87, in _wrapreduction return ufunc.reduce(obj, axis, dtype, out, **passkwargs) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/framework/ops.py", line 845, in array raise NotImplementedError( NotImplementedError: Cannot convert a symbolic Tensor (strided_slice_6:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported
Rasa Version : 2.2.9 Rasa SDK Version : 2.2.0 Rasa X Version : None Python Version : 3.8.7 Operating System : macOS-10.15.7-x86_64-i386-64bit Python Path : /usr/local/bin/python3.8
