Connection Refused

(gj0) #1

Attempting to run rasa for the first time, I get a connection refused error:

$ rasa init
Welcome to Rasa! 🤖

To get started quickly, an initial project will be created.
If you need some help, check out the documentation at https://rasa.com/docs/rasa.
Now let's start! 👇🏽

? Please enter a path where the project will be created [default: current directory] .
Created project directory at '/home/georgej/rasa-server'.
Finished creating project structure.
Training an initial model...
Training Core model...
2019-05-25 15:11:41 INFO     root  - Generating grammar tables from /usr/lib/python3.6/lib2to3/Grammar.txt
2019-05-25 15:11:41 INFO     root  - Generating grammar tables from /usr/lib/python3.6/lib2to3/PatternGrammar.txt

WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
  * https://github.com/tensorflow/addons
If you depend on functionality not listed there, please file an issue.

Processed Story Blocks: 100%|█████████████████████████████████████████████| 4/4 [00:00<00:00, 2699.04it/s, # trackers=1]
Processed Story Blocks: 100%|█████████████████████████████████████████████| 4/4 [00:00<00:00, 1674.37it/s, # trackers=4]
Processed Story Blocks: 100%|█████████████████████████████████████████████| 4/4 [00:00<00:00, 574.39it/s, # trackers=12]
Processed Story Blocks: 100%|██████████████████████████████████████████████| 4/4 [00:00<00:00, 807.92it/s, # trackers=7]
Processed trackers: 100%|█████████████████████████████████████████████████| 4/4 [00:00<00:00, 1907.15it/s, # actions=14]
Processed actions: 14it [00:00, 7466.02it/s, # examples=14]
Processed trackers: 100%|████████████████████████████████████████████████| 94/94 [00:00<00:00, 361.82it/s, # actions=62]
2019-05-25 15:11:43.543034: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2019-05-25 15:11:43.547920: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2095074999 Hz
2019-05-25 15:11:43.548101: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x20ad050 executing computations on platform Host. Devices:
2019-05-25 15:11:43.548148: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): <undefined>, <undefined>
_________________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
masking (Masking)            (None, 5, 19)             0
_________________________________________________________________
lstm (LSTM)                  (None, 32)                6656
_________________________________________________________________
dense (Dense)                (None, 13)                429
_________________________________________________________________
activation (Activation)      (None, 13)                0
=================================================================
Total params: 7,085
Trainable params: 7,085
Non-trainable params: 0
_________________________________________________________________
2019-05-25 15:11:44 INFO     rasa.core.policies.keras_policy  - Fitting model with 62 total samples and a validation split of 0.1
Epoch 1/100
62/62 [==============================] - 1s 10ms/sample - loss: 2.5998 - acc: 0.0968
Epoch 2/100
62/62 [==============================] - 0s 215us/sample - loss: 2.5648 - acc: 0.0806
Epoch 3/100
62/62 [==============================] - 0s 218us/sample - loss: 2.5093 - acc: 0.2742
Epoch 4/100
62/62 [==============================] - 0s 220us/sample - loss: 2.4905 - acc: 0.3387
Epoch 5/100
62/62 [==============================] - 0s 202us/sample - loss: 2.4609 - acc: 0.3226
Epoch 6/100
62/62 [==============================] - 0s 205us/sample - loss: 2.4401 - acc: 0.3871
Epoch 7/100
62/62 [==============================] - 0s 203us/sample - loss: 2.4056 - acc: 0.4355
Epoch 8/100
62/62 [==============================] - 0s 204us/sample - loss: 2.3645 - acc: 0.4355
Epoch 9/100
62/62 [==============================] - 0s 208us/sample - loss: 2.3377 - acc: 0.4355
Epoch 10/100
62/62 [==============================] - 0s 209us/sample - loss: 2.3043 - acc: 0.4516
Epoch 11/100
62/62 [==============================] - 0s 211us/sample - loss: 2.2655 - acc: 0.4194
Epoch 12/100
62/62 [==============================] - 0s 210us/sample - loss: 2.2345 - acc: 0.4677
Epoch 13/100
62/62 [==============================] - 0s 203us/sample - loss: 2.2159 - acc: 0.3871
Epoch 14/100
62/62 [==============================] - 0s 206us/sample - loss: 2.1521 - acc: 0.4677
Epoch 15/100
62/62 [==============================] - 0s 207us/sample - loss: 2.1051 - acc: 0.4677
Epoch 16/100
62/62 [==============================] - 0s 216us/sample - loss: 2.0644 - acc: 0.4516
Epoch 17/100
62/62 [==============================] - 0s 212us/sample - loss: 2.0395 - acc: 0.4355
Epoch 18/100
62/62 [==============================] - 0s 209us/sample - loss: 1.9896 - acc: 0.4355
Epoch 19/100
62/62 [==============================] - 0s 212us/sample - loss: 1.9336 - acc: 0.4355
Epoch 20/100
62/62 [==============================] - 0s 212us/sample - loss: 1.8999 - acc: 0.4355
Epoch 21/100
62/62 [==============================] - 0s 209us/sample - loss: 1.8998 - acc: 0.4355
Epoch 22/100
62/62 [==============================] - 0s 226us/sample - loss: 1.8390 - acc: 0.4355
Epoch 23/100
62/62 [==============================] - 0s 216us/sample - loss: 1.7907 - acc: 0.4516
Epoch 24/100
62/62 [==============================] - 0s 213us/sample - loss: 1.7618 - acc: 0.4355
Epoch 25/100
62/62 [==============================] - 0s 213us/sample - loss: 1.7397 - acc: 0.4355
Epoch 26/100
62/62 [==============================] - 0s 211us/sample - loss: 1.7130 - acc: 0.4516
Epoch 27/100
62/62 [==============================] - 0s 211us/sample - loss: 1.6901 - acc: 0.4355
Epoch 28/100
62/62 [==============================] - 0s 210us/sample - loss: 1.6875 - acc: 0.4355
Epoch 29/100
62/62 [==============================] - 0s 210us/sample - loss: 1.6942 - acc: 0.4355
Epoch 30/100
62/62 [==============================] - 0s 206us/sample - loss: 1.6892 - acc: 0.4355
Epoch 31/100
62/62 [==============================] - 0s 210us/sample - loss: 1.6611 - acc: 0.4355
Epoch 32/100
62/62 [==============================] - 0s 218us/sample - loss: 1.6454 - acc: 0.4355
Epoch 33/100
62/62 [==============================] - 0s 209us/sample - loss: 1.6551 - acc: 0.4355
Epoch 34/100
62/62 [==============================] - 0s 213us/sample - loss: 1.6279 - acc: 0.4355
Epoch 35/100
62/62 [==============================] - 0s 209us/sample - loss: 1.6090 - acc: 0.4355
Epoch 36/100
62/62 [==============================] - 0s 211us/sample - loss: 1.5941 - acc: 0.4516
Epoch 37/100
62/62 [==============================] - 0s 217us/sample - loss: 1.6135 - acc: 0.4355
Epoch 38/100
62/62 [==============================] - 0s 211us/sample - loss: 1.6102 - acc: 0.4355
Epoch 39/100
62/62 [==============================] - 0s 212us/sample - loss: 1.5783 - acc: 0.4355
Epoch 40/100
62/62 [==============================] - 0s 212us/sample - loss: 1.5393 - acc: 0.4355
Epoch 41/100
62/62 [==============================] - 0s 211us/sample - loss: 1.5428 - acc: 0.4355
Epoch 42/100
62/62 [==============================] - 0s 211us/sample - loss: 1.5502 - acc: 0.4355
Epoch 43/100
62/62 [==============================] - 0s 210us/sample - loss: 1.5274 - acc: 0.4516
Epoch 44/100
62/62 [==============================] - 0s 206us/sample - loss: 1.5131 - acc: 0.4516
Epoch 45/100
62/62 [==============================] - 0s 211us/sample - loss: 1.4966 - acc: 0.4355
Epoch 46/100
62/62 [==============================] - 0s 215us/sample - loss: 1.4758 - acc: 0.4516
Epoch 47/100
62/62 [==============================] - 0s 210us/sample - loss: 1.4931 - acc: 0.4516
Epoch 48/100
62/62 [==============================] - 0s 207us/sample - loss: 1.4873 - acc: 0.4516
Epoch 49/100
62/62 [==============================] - 0s 213us/sample - loss: 1.4821 - acc: 0.4516
Epoch 50/100
62/62 [==============================] - 0s 207us/sample - loss: 1.4711 - acc: 0.4516
Epoch 51/100
62/62 [==============================] - 0s 206us/sample - loss: 1.4574 - acc: 0.4355
Epoch 52/100
62/62 [==============================] - 0s 206us/sample - loss: 1.4122 - acc: 0.4516
Epoch 53/100
62/62 [==============================] - 0s 209us/sample - loss: 1.4207 - acc: 0.4516
Epoch 54/100
62/62 [==============================] - 0s 205us/sample - loss: 1.4034 - acc: 0.4516
Epoch 55/100
62/62 [==============================] - 0s 205us/sample - loss: 1.3968 - acc: 0.4516
Epoch 56/100
62/62 [==============================] - 0s 208us/sample - loss: 1.4023 - acc: 0.4516
Epoch 57/100
62/62 [==============================] - 0s 208us/sample - loss: 1.3946 - acc: 0.4355
Epoch 58/100
62/62 [==============================] - 0s 208us/sample - loss: 1.3703 - acc: 0.4355
Epoch 59/100
62/62 [==============================] - 0s 207us/sample - loss: 1.3681 - acc: 0.4516
Epoch 60/100
62/62 [==============================] - 0s 206us/sample - loss: 1.3634 - acc: 0.4516
Epoch 61/100
62/62 [==============================] - 0s 204us/sample - loss: 1.3347 - acc: 0.4355
Epoch 62/100
62/62 [==============================] - 0s 204us/sample - loss: 1.3224 - acc: 0.4516
Epoch 63/100
62/62 [==============================] - 0s 210us/sample - loss: 1.3174 - acc: 0.4516
Epoch 64/100
62/62 [==============================] - 0s 206us/sample - loss: 1.3189 - acc: 0.4516
Epoch 65/100
62/62 [==============================] - 0s 210us/sample - loss: 1.3094 - acc: 0.4516
Epoch 66/100
62/62 [==============================] - 0s 207us/sample - loss: 1.2831 - acc: 0.4355
Epoch 67/100
62/62 [==============================] - 0s 212us/sample - loss: 1.2572 - acc: 0.4516
Epoch 68/100
62/62 [==============================] - 0s 206us/sample - loss: 1.2717 - acc: 0.4355
Epoch 69/100
62/62 [==============================] - 0s 195us/sample - loss: 1.2307 - acc: 0.4516
Epoch 70/100
62/62 [==============================] - 0s 195us/sample - loss: 1.2312 - acc: 0.4516
Epoch 71/100
62/62 [==============================] - 0s 196us/sample - loss: 1.1949 - acc: 0.4839
Epoch 72/100
62/62 [==============================] - 0s 196us/sample - loss: 1.1746 - acc: 0.5000
Epoch 73/100
62/62 [==============================] - 0s 203us/sample - loss: 1.1890 - acc: 0.4677
Epoch 74/100
62/62 [==============================] - 0s 203us/sample - loss: 1.1812 - acc: 0.5000
Epoch 75/100
62/62 [==============================] - 0s 207us/sample - loss: 1.1899 - acc: 0.5323
Epoch 76/100
62/62 [==============================] - 0s 198us/sample - loss: 1.1677 - acc: 0.5484
Epoch 77/100
62/62 [==============================] - 0s 203us/sample - loss: 1.1247 - acc: 0.5323
Epoch 78/100
62/62 [==============================] - 0s 202us/sample - loss: 1.1413 - acc: 0.5323
Epoch 79/100
62/62 [==============================] - 0s 202us/sample - loss: 1.1452 - acc: 0.5000
Epoch 80/100
62/62 [==============================] - 0s 203us/sample - loss: 1.0876 - acc: 0.5161
Epoch 81/100
62/62 [==============================] - 0s 205us/sample - loss: 1.0764 - acc: 0.5645
Epoch 82/100
62/62 [==============================] - 0s 203us/sample - loss: 1.0486 - acc: 0.5806
Epoch 83/100
62/62 [==============================] - 0s 202us/sample - loss: 1.0707 - acc: 0.5645
Epoch 84/100
62/62 [==============================] - 0s 201us/sample - loss: 1.0431 - acc: 0.5323
Epoch 85/100
62/62 [==============================] - 0s 200us/sample - loss: 1.0340 - acc: 0.5968
Epoch 86/100
62/62 [==============================] - 0s 202us/sample - loss: 1.0329 - acc: 0.6129
Epoch 87/100
62/62 [==============================] - 0s 200us/sample - loss: 1.0103 - acc: 0.6613
Epoch 88/100
62/62 [==============================] - 0s 201us/sample - loss: 1.0009 - acc: 0.6452
Epoch 89/100
62/62 [==============================] - 0s 201us/sample - loss: 0.9887 - acc: 0.6774
Epoch 90/100
62/62 [==============================] - 0s 200us/sample - loss: 0.9673 - acc: 0.6613
Epoch 91/100
62/62 [==============================] - 0s 199us/sample - loss: 0.9505 - acc: 0.6935
Epoch 92/100
62/62 [==============================] - 0s 203us/sample - loss: 0.9325 - acc: 0.7258
Epoch 93/100
62/62 [==============================] - 0s 208us/sample - loss: 0.9659 - acc: 0.6935
Epoch 94/100
62/62 [==============================] - 0s 209us/sample - loss: 0.9587 - acc: 0.6290
Epoch 95/100
62/62 [==============================] - 0s 202us/sample - loss: 0.9515 - acc: 0.7419
Epoch 96/100
62/62 [==============================] - 0s 199us/sample - loss: 0.9068 - acc: 0.7581
Epoch 97/100
62/62 [==============================] - 0s 199us/sample - loss: 0.9105 - acc: 0.7581
Epoch 98/100
62/62 [==============================] - 0s 196us/sample - loss: 0.9028 - acc: 0.7903
Epoch 99/100
62/62 [==============================] - 0s 196us/sample - loss: 0.8650 - acc: 0.8065
Epoch 100/100
62/62 [==============================] - 0s 198us/sample - loss: 0.8685 - acc: 0.7903
2019-05-25 15:11:47 INFO     rasa.core.policies.keras_policy  - Done fitting keras policy model
2019-05-25 15:11:47 INFO     rasa.core.agent  - Persisted model to '/tmp/tmpqyfmpal5/core'
Core model training completed.
Training NLU model...
2019-05-25 15:11:47 INFO     rasa.nlu.training_data.loading  - Training data format of /tmp/tmpq0fjo8ui/225cef8a0e7745058e9886dafe0cea2c_nlu.md is md
2019-05-25 15:11:47 INFO     rasa.nlu.training_data.training_data  - Training data stats:
        - intent examples: 39 (6 distinct intents)
        - Found intents: 'mood_unhappy', 'greet', 'goodbye', 'mood_great', 'affirm', 'deny'
        - entity examples: 0 (0 distinct entities)
        - found entities:

2019-05-25 15:11:47 INFO     rasa.nlu.model  - Starting to train component WhitespaceTokenizer
2019-05-25 15:11:47 INFO     rasa.nlu.model  - Finished training component.
2019-05-25 15:11:47 INFO     rasa.nlu.model  - Starting to train component RegexFeaturizer
2019-05-25 15:11:47 INFO     rasa.nlu.model  - Finished training component.
2019-05-25 15:11:47 INFO     rasa.nlu.model  - Starting to train component CRFEntityExtractor
2019-05-25 15:11:47 INFO     rasa.nlu.model  - Finished training component.
2019-05-25 15:11:47 INFO     rasa.nlu.model  - Starting to train component EntitySynonymMapper
2019-05-25 15:11:47 INFO     rasa.nlu.model  - Finished training component.
2019-05-25 15:11:47 INFO     rasa.nlu.model  - Starting to train component CountVectorsFeaturizer
2019-05-25 15:11:47 INFO     rasa.nlu.model  - Finished training component.
2019-05-25 15:11:47 INFO     rasa.nlu.model  - Starting to train component EmbeddingIntentClassifier
2019-05-25 15:11:48 INFO     rasa.nlu.classifiers.embedding_intent_classifier  - Accuracy is updated every 10 epochs
Epochs: 100%|█████████████████████████████████████████████████| 300/300 [00:01<00:00, 212.81it/s, loss=0.094, acc=1.000]
2019-05-25 15:11:49 INFO     rasa.nlu.classifiers.embedding_intent_classifier  - Finished training embedding classifier, loss=0.094, train accuracy=1.000
2019-05-25 15:11:49 INFO     rasa.nlu.model  - Finished training component.
2019-05-25 15:11:49 INFO     rasa.nlu.model  - Successfully saved model into '/tmp/tmpqyfmpal5/nlu'
NLU model training completed.
Your Rasa model is trained and saved at '/home/georgej/rasa-server/models/20190525-151141.tar.gz'.
? Do you want to speak to the trained assistant on the command line? 🤖  Yes
2019-05-25 15:11:53 INFO     root  - Starting Rasa Core server on http://localhost:5005

Bot loaded. Type a message and press enter (use '/stop' to exit):
Your input ->
2019-05-25 15:11:55 ERROR    asyncio  - Task exception was never retrieved
future: <Task finished coro=<configure_app.<locals>.run_cmdline_io() done, defined at /home/georgej/.local/lib/python3.6/site-packages/rasa/core/run.py:101> exception=ClientConnectorError(111, 'Connection refused')>
Traceback (most recent call last):
  File "/home/georgej/.local/lib/python3.6/site-packages/aiohttp/connector.py", line 924, in _wrap_create_connection
    await self._loop.create_connection(*args, **kwargs))
  File "uvloop/loop.pyx", line 1904, in create_connection
  File "uvloop/loop.pyx", line 1883, in uvloop.loop.Loop.create_connection
ConnectionRefusedError: [Errno 111] Connection refused

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/georgej/.local/lib/python3.6/site-packages/rasa/core/run.py", line 105, in run_cmdline_io
    server_url=constants.DEFAULT_SERVER_FORMAT.format(port)
  File "/home/georgej/.local/lib/python3.6/site-packages/rasa/core/channels/console.py", line 115, in record_messages
    async for response in bot_responses:
  File "/home/georgej/.local/lib/python3.6/site-packages/async_generator/_impl.py", line 366, in step
    return await ANextIter(self._it, start_fn, *args)
  File "/home/georgej/.local/lib/python3.6/site-packages/async_generator/_impl.py", line 205, in throw
    return self._invoke(self._it.throw, type, value, traceback)
  File "/home/georgej/.local/lib/python3.6/site-packages/async_generator/_impl.py", line 209, in _invoke
    result = fn(*args)
  File "/home/georgej/.local/lib/python3.6/site-packages/rasa/core/channels/console.py", line 80, in send_message_receive_stream
    async with session.post(url, json=payload, raise_for_status=True) as resp:
  File "/home/georgej/.local/lib/python3.6/site-packages/aiohttp/client.py", line 1005, in __aenter__
    self._resp = await self._coro
  File "/home/georgej/.local/lib/python3.6/site-packages/aiohttp/client.py", line 476, in _request
    timeout=real_timeout
  File "/home/georgej/.local/lib/python3.6/site-packages/aiohttp/connector.py", line 522, in connect
    proto = await self._create_connection(req, traces, timeout)
  File "/home/georgej/.local/lib/python3.6/site-packages/aiohttp/connector.py", line 854, in _create_connection
    req, traces, timeout)
  File "/home/georgej/.local/lib/python3.6/site-packages/aiohttp/connector.py", line 992, in _create_direct_connection
    raise last_exc
  File "/home/georgej/.local/lib/python3.6/site-packages/aiohttp/connector.py", line 974, in _create_direct_connection
    req=req, client_error=client_error)
  File "/home/georgej/.local/lib/python3.6/site-packages/aiohttp/connector.py", line 931, in _wrap_create_connection
    raise client_error(req.connection_key, exc) from exc
aiohttp.client_exceptions.ClientConnectorError: Cannot connect to host localhost:5005 ssl:None [Connection refused]
(leha) #2

Hello, for me sudo apt-get upgrade and sudo apt-get update worked.

(Ella Rohm-Ensing) #3

@gj0 did @gsp0din’s suggestion help?