Hello Everyone,
I am facing a issue regarding the bot response.
I only get the first response, but then when I put other questions or even the same question, the bot does not respond unless I restart it (after which it responds to first msg).
Does anyone have any idea about this issue. Please help.
While running the rasa server I am getting some warning which might help in assessing:-
rasa run --enable-api --cors "*"
yay
2022-02-24 14:48:58 INFO root - Starting Rasa server on http://localhost:5005
2022-02-24 14:48:58 INFO rasa.model - Loading model models/20220224-132602.tar.gz...
/usr/local/lib/python3.8/site-packages/tensorflow/python/framework/indexed_slices.py:447: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradients/cond_grad/Identity_1:0", shape=(None,), dtype=int64), values=Tensor("gradients/cond_grad/Identity:0", shape=(None,), dtype=float32), dense_shape=Tensor("gradients/cond_grad/Identity_2:0", shape=(1,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(
/usr/local/lib/python3.8/site-packages/tensorflow/python/framework/indexed_slices.py:447: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradients/cond_1_grad/Identity_1:0", shape=(None,), dtype=int64), values=Tensor("gradients/cond_1_grad/Identity:0", shape=(None,), dtype=float32), dense_shape=Tensor("gradients/cond_1_grad/Identity_2:0", shape=(1,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(
2022-02-24 14:50:05 WARNING rasa.shared.utils.common - The UnexpecTED Intent Policy is currently experimental and might change or be removed in the future 🔬 Please share your feedback on it in the forum (http://forum.rasa.com) to help us make this feature ready for production.
2022-02-24 14:50:15 INFO root - Rasa server is up and running.
Rasa Version : 2.8.17
Minimum Compatible Version: 2.8.9
Rasa SDK Version : 2.8.4
Rasa X Version : None
Python Version : 3.8.7
Operating System : Linux-3.10.0-1127.el7.x86_64-x86_64-with-glibc2.17
Python Path : /usr/local/bin/python3.8
Thanks,
Yash Chopda