Hi, I recently installed rasa on windows in virtual env. Now while i am trying to run Rasa Shell, its giving me following error:
(venv) C:\Users\pooja\rasa-2>rasa shell 2020-10-02 06:46:07 INFO root - Connecting to channel ‘cmdline’ which was specified by the ‘–connector’ argument. Any other channels will be ignored. To connect to all given channels, omit the ‘–connector’ argument. 2020-10-02 06:46:07 INFO root - Starting Rasa server on http://localhost:5005 2020-10-02 06:46:17 WARNING rasa.shared.utils.validation - Training data file C:\Users\pooja\AppData\Local\Temp\tmp83k7d2rp\core\domain.yml doesn’t have a ‘version’ key. Rasa Open Source will read the file as a version ‘2.0’ file. See Introduction to Rasa Open Source. 2020-10-02 06:46:19 INFO root - Rasa server is up and running. Bot loaded. Type a message and press enter (use ‘/stop’ to exit): Your input → hi 2020-10-02 06:47:20 ERROR asyncio - Task exception was never retrieved future: <Task finished name=‘Task-2’ coro=<configure_app..run_cmdline_io() done, defined at c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\run.py:132> exception=TimeoutError()> Traceback (most recent call last): File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\run.py”, line 136, in run_cmdline_io await console.record_messages( File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\channels\console.py”, line 182, in record_messages async for response in bot_responses: File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\channels\console.py”, line 137, in send_message_receive_stream async for line in resp.content: File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\aiohttp\streams.py”, line 39, in anext rv = await self.read_func() File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\aiohttp\streams.py”, line 328, in readline await self._wait(‘readline’) File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\aiohttp\streams.py”, line 296, in _wait await waiter File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\aiohttp\helpers.py”, line 596, in exit raise asyncio.TimeoutError from None asyncio.exceptions.TimeoutError 2020-10-02 06:47:25 ERROR asyncio - Task exception was never retrieved future: <Task finished name=‘Task-12’ coro=<RestInput.on_message_wrapper() done, defined at c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\channels\rest.py:33> exception=ValueError(‘blocks[:,0] has incompatible row dimensions. Got blocks[1,0].shape[1] == 19, expected 20.’)> Traceback (most recent call last): File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\channels\rest.py”, line 47, in on_message_wrapper await on_new_message(message) File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\channels\channel.py”, line 84, in handler await app.agent.handle_message(*args, **kwargs) File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\agent.py”, line 518, in handle_message return await processor.handle_message(message) File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\processor.py”, line 97, in handle_message await self._predict_and_execute_next_action(message.output_channel, tracker) File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\processor.py”, line 562, in _predict_and_execute_next_action action, policy, confidence = self.predict_next_action(tracker) File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\processor.py”, line 284, in predict_next_action action_confidences, policy = self._get_next_action_probabilities(tracker) File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\processor.py”, line 828, in _get_next_action_probabilities return self.policy_ensemble.probabilities_using_best_policy( File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\policies\ensemble.py”, line 698, in probabilities_using_best_policy probabilities, policy_name = self.best_policy_prediction( File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\policies\ensemble.py”, line 585, in best_policy_prediction predictions = { File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\policies\ensemble.py”, line 586, in f"policy{i}{type(p).name}": self._get_prediction( File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\policies\ensemble.py”, line 619, in _get_prediction probabilities = policy.predict_action_probabilities( File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\policies\ted_policy.py”, line 387, in predict_action_probabilities model_data = self._create_model_data(tracker_state_features) File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\core\policies\ted_policy.py”, line 303, in _create_model_data attribute_data, _ = convert_to_data_format( File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\utils\tensorflow\model_data_utils.py”, line 139, in convert_to_data_format attribute_data[attribute] = _features_for_attribute( File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\utils\tensorflow\model_data_utils.py”, line 193, in _features_for_attribute sparse_features[key] = [scipy.sparse.vstack(value) for value in values] File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\rasa\utils\tensorflow\model_data_utils.py”, line 193, in sparse_features[key] = [scipy.sparse.vstack(value) for value in values] File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\scipy\sparse\construct.py”, line 499, in vstack return bmat([[b] for b in blocks], format=format, dtype=dtype) File “c:\users\pooja\appdata\local\programs\python\python38\lib\site-packages\scipy\sparse\construct.py”, line 596, in bmat raise ValueError(msg) ValueError: blocks[:,0] has incompatible row dimensions. Got blocks[1,0].shape[1] == 19, expected 20.
I tried uninstalling and installing again. Why is blocks dimensions issue here and how to get it resolved. Please help.
Thanks and Regards Pooja