Comments (9)
I agree this would be a very useful feature to make the tool more user-friendly and easier to deploy for general use rather than individual developers or data scientists playing around with it.
In the meantime it would be helpful to have a Dockerfile
with an image for each tool, that way you could easily spin all of the tools at the same time along with an nginx reverse proxy using Docker Compose, without needing to change any Python code.
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I'll gladly review any PR for a Dockerfile that does this.
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This might also make it easy to ship the bulk labelling tool now that I think of it. Althought probably best to keep as a separate Dockerfile.
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You'd need to run something like nginx
in front of it as a proxy. This is possible, but not super obvious to get right.
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@koaning Yes, we can do it, we can run all of them separately on different ports then use a reverse proxy to combine them on one port. But I was wishing since most people will be using all of them, so instead of running all 4 separately, shouldn't we have a feature to run all of them at once then use them accordingly.
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You're the first person suggesting to use all views at the same time actually. I'm open to a tutorial for the readme but I doubt streamlit open aohrce allows you to spin up multiple apps on a single port.
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I think all views at the same place can be a nice feature if streamlit supports it.
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It would also be possible to implement a sidebar navigation like this other repo - awesome-streamlit.
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Pushed a PR containing a Dockerfile
, docker-compose.yaml
and Nginx configuration for this reverse proxying solution: #60.
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Related Issues (20)
- Using live-nlu with models with Custom Components HOT 26
- Bulk Labelling UI HOT 1
- [BUG] - Rasa Spelling PLAYGROUND HOT 8
- [Spelling/NLU-playground] Support Custom NLU components HOT 13
- Make utilities available for Jupyter Users too HOT 10
- Add Bulk Labelling notebook HOT 1
- missing whatlies dependency HOT 5
- Missing Rasa logo HOT 7
- Friendlier error message
- Add attention viewer for DIET
- Add TF/IDF to clusterview
- Add quick summary and confidence to nlu visual
- Adding labeled utterances for reference in Bulk Labeling Tool HOT 4
- Add custom theme for Rasa HOT 1
- Update Attention Viewer
- Can rasalit be used to visualise the semantic similarity clusters of sentences using huggingface models? HOT 2
- Error while pip installing rasalit from github: "TypeError: a bytes-like object is required, not 'str'" HOT 7
- Updating to RASA 3.x
- Displaying attention heatmaps with respect to input tokens vs entities HOT 2
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