Comments (5)
Hello again! Did you get any error messages when you ran app.py
? If so, could you try running
python app.py <blah> &> log.txt
&>
will send all stdout and stderr messages to a file (assuming you're using a bash or zsh, I don't know about other weird shells) which would really help us find out the issue.
Cheers!
from examples.
Hi there! Sure. I just removed the image and got the issue again. I attach the output file resulting of the command python app.py &> log.txt
.
log.txt
from examples.
Can confirm. I just tried running python app.py
(with no other args) and got similar result. My log attached too for the dev team's reference
Note: I didn't actually follow any other steps in the example. Most of the yaml files seem to already exist without having to do anything except type python app.py <blah>
from examples.
hi, there. This is due to the timeout_ready is not set properly, timeout_ready
is set to 20000ms in app.py
.
f = (Flow(callback_on_body=True)
.add(name='spit', uses='Sentencizer')
.add(name='encode', uses='jinaai/hub.executors.encoders.nlp.transformers-pytorch',
parallel=2, timeout_ready=20000))
Another solution is to try to run the following to pull the image before running.
docker pull jinaai/hub.executors.encoders.nlp.transformers-pytorch
from examples.
Closing as per lack of activity
from examples.
Related Issues (20)
- refactor: hide infra files
- multimodal-search-pdf: results error HOT 5
- Key Error in 'multimodal-search-pdf' example HOT 2
- Search Chinese docs. HOT 1
- Any example for video search? HOT 4
- How can I get my index? HOT 3
- section links in READMEs' table of content not referenced properly HOT 2
- AttributeError in Wikipedia Sentences Example HOT 2
- cross-modal-search: 'NumpyIndexer' object has no attribute '_embedding_matrix' HOT 1
- The wikipedia-sentences example doesn't work with latest 2.0.10 HOT 2
- In cross-modal-search, 5 results are output no matter how many top_k is set. HOT 2
- refactor: examples use hub executors
- Refactoring code since context manager is not supported. HOT 3
- feat: create audio-to-audio search example HOT 1
- wikipedia-sentences inaccurate readme HOT 1
- feat: upload input data for audio-to-audio-search examples
- feat: add AudioCLIPEncoder option to audio-to-audio-search example
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- fix: update usage of SimpleIndexer to new API HOT 3
- Migrate crossmodal search example to a single repo HOT 1
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