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streamlit-issues

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MDU6SXNzdWU2MTg1OTMxODg=

Windows doesn't support emojis on terminal

closed

CONTRIBUTOR

# Steps to reproduce 1. Make sure you're on Windows 2. Make sure Streamlit is not "activated", by removing the credentials file: `rm ~/.streamlit/credentials.toml` 3. Run any Streamlit script, such as `streamlit hello` ## Expected behavior: You should see a message like this on the terminal: ``` 👋 Welcome to Streamlit! If you are one of our development partners or are interested in getting personal technical support, please enter your email address below. Otherwise, you may leave the field blank. ``` ## Actual behavior: You see instead: ``` JUMBLEDTEXTWelcome to Streamlit! If you are one of our development partners or are interested in getting personal technical support, please enter your email address below. Otherwise, you may leave the field blank. ``` ## Is this a regression? Nope. # Additional information A good-enough solution here would be to simply not show the emoji on Windows. Bonus points if we detect whether the user is using the [new Windows Terminal](https://www.microsoft.com/en-us/p/windows-terminal-preview/9n0dx20hk701?activetab=pivot:overviewtab#), which _does_ support emojis, and allow emojis in that case.

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MDExOlB1bGxSZXF1ZXN0NDE4MDYzMzg0

Keras model hash func

closed

CONTRIBUTOR

Issue #838

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MDU6SXNzdWU2MTgwMjU3OTc=

Make st.dataframe more awesome

closed

CONTRIBUTOR

Once our conversion of Dataframe processing code into Arrow is complete, we can move on to some long-desired improvements to how we deal with dataframes across the board: 1. Make columns resizable 1. Add support for multidimensional arrays / multi-index dataframes 1. Add support for searching or filtering 1. Improve text justification: numbers should be right-justified, everything else left-justified. Column headers should be justified with their contents. 1. If a cell has more content than fits in its visual space, show ellipses and show full cell contents on hover. 1. Add ability to export the data to CSV (to a file or clipboard) 1. Make it friendly to text-selection + copy/paste (see #164) Plus, we should continue supporting the current features: 1. Row and column indices should be sticky 1. The table should be sortable 1. The table should support Pandas styling (blocker: background and font color; everything else: nice to have) 1. The table should support Pandas text formatting 1. Should be fast\! Only place minimal amount of nodes in the DOM (i.e. should be virtualized) And some other cool ideas of things to add * See features from \[BambooLib]([https://bamboolib.8080labs.com/features/)|https://bamboolib.8080labs.com/features/)] and \[Deepnote]([https://docs.deepnote.com/features/variable-explorer)|https://docs.deepnote.com/features/variable-explorer)]. Lots of awesome stuff in there\! * See \[QGrid for Jupyter]([https://github.com/quantopian/qgrid)|https://github.com/quantopian/qgrid)] # ## ### Other info Some React components that could help here: * \[React Base Table]([https://autodesk.github.io/react-base-table/)|https://autodesk.github.io/react-base-table/)] seems to have everything we want out of the box * I believe \[React Table]([https://github.com/tannerlinsley/react-table)|https://github.com/tannerlinsley/react-table)] can do this stuff too, but only with heavy customization * ...same for \[React Virtualized]([https://github.com/bvaughn/react-virtualized),|https://github.com/bvaughn/react-virtualized),] which is what we use today * And here's a list of \[awesome grid components]([https://github.com/FancyGrid/awesome-grid)|https://github.com/FancyGrid/awesome-grid)] There is one complicating factor: we're currently in the process of improving how we represent dataframes in our JS code #899 . So if anyone wants to take this project, please sync with @kantuni

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MDExOlB1bGxSZXF1ZXN0NDE3NDYzNzg1

Reapply on_config_parsed after applying cli args

closed

CONTRIBUTOR

**Issue:** Fixes #1321 **Description:** `set_log_level` runs once `on_config_parsed` is emitted. This can get triggered before the CLI arguments are parsed. Following changes to address this: - Before applying the CLI arguments, parse the config file if it has not already been parsed. - After applying the CLI arguments, emit `on_config_parsed`. - Update `on_config_parsed` with a flag to forcefully connect the callback with the signal. Currently a shortcut exists to bypass connecting to the signal. --- **Contribution License Agreement** By submiting this pull request you agree that all contributions to this project are made under the Apache 2.0 license.

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MDU6SXNzdWU2MTc1MzIwMzc=

Ghost images of widgets in sidebar

closed

NONE

# Summary Sidebar can display a non functioning duplicate image of a previously rendered widget after a rerun of a page when a widget higher up the sidebar is dropped. # Steps to reproduce What are the steps we should take to reproduce the bug: The application has a function to select time periods and/or dates. This uses two widgets. The period selector is a Selectbox, if a specific date is required the function displays a date picker below the selectbox. Further down the sidebar there is another, unrelated, simple selectbox. 1. Use the period selector to select something like "Choose date". date widget is displayed 2. Select a date, page refreshes, all widgets correctly displayed 3. Change the period to a predefined value, for example "last week". The date picker is *not* displayed, which is correct behavior. But a widget further down the page shows up twice. the first image isn't functional, the second works. it is possible to keep doing this and get 3 "copies" ## Expected behavior: Only one image for each widget ## Actual behavior: See above. <img width="169" alt="ghost_widget" src="https://user-images.githubusercontent.com/1843761/81829413-dc81ea00-9508-11ea-96ce-1cdbaad7c61d.PNG"> Once the ghost image appears the only way to get rid of it seems to be to refresh the browser window (rerunning the Streamlit page has no effect). ## Is this a regression? no # Debug info - Streamlit version: 0.57.2 through 0.59 - Python version: 3.7.7 - Using Conda? PipEnv? PyEnv? Pex? Conda for base Python, Pip install of Streamlit and all other modules. - OS version: Windows 10 - Browser version: Chrome Version 81.0.4044.138 # Additional information The application uses the SessionState gist heavily, but I don't think this behavior is directly related to that, the invocation of the duplicated image widget is a simple call to st.sidebar.selectbox with only the prompt and options arguments, default initial state setting

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MDExOlB1bGxSZXF1ZXN0NDE2OTQ3NDEw

Streamlit.setWidgetValue -> setComponentValue. Added some docs.

closed

COLLABORATOR

(this is just a name change, per a discussion last week)

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MDExOlB1bGxSZXF1ZXN0NDE2ODc2OTgy

PyTorch model hash func

closed

CONTRIBUTOR

Issue #1422

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MDExOlB1bGxSZXF1ZXN0NDE2ODIxMjc2

Update 3.5 references to 3.6

closed

CONTRIBUTOR

Per our Slack discussion yesterday, there are some places where Python 3.5 references remain. I changed these references here. Note that some of the references conditionally test for 3.6 and above (such as the Black formatter CI code), so that code could be simplified to remove the conditional test since it will evaluate true from now on

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MDU6SXNzdWU2MTY3NDk1NTI=

slider with step=2 and odd numbers returns even values

closed

NONE

# Summary Slider with step=2 and odd numbers returns even values, while one would expect odd values. # Steps to reproduce What are the steps we should take to reproduce the bug: ``` import streamlit as st st.slider("test", 11, 21, value=15, step=2) ``` ## Expected behavior: I would expect to have odd values from 11 to 21. ## Actual behavior: I get even values, except for limits (11 and 21) ## Is this a regression? Cannot say. # Debug info - Streamlit version: 0.57.3 - Python version: 3.6.10 - Using Conda - OS version: macOS 10.14 - Browser version: Firefox 76

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MDExOlB1bGxSZXF1ZXN0NDE2NzA2NTQ0

Fix multiselect docstring example

closed

CONTRIBUTOR

**Issue:** https://github.com/streamlit/streamlit/issues/1441 **Description:** The docstring example had three small issues: * Added a missing comma at the end of the line * Default values (currently) need to be an actual list, so changed from a tuple * Order of parameters was wrong, putting the default before the options --- **Contribution License Agreement** By submiting this pull request you agree that all contributions to this project are made under the Apache 2.0 license.

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MDU6SXNzdWU2MTY2MzI1NDM=

Multiselect example in the documentation does not work if copied

closed

CONTRIBUTOR

https://docs.streamlit.io/api.html#streamlit.multiselect The example, if copied and pasted, doesn't run. There's a few small issues with it (missing comma at the end of a line, order of parameters wrong and the defaults should be a list rather than a tuple.

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MDU6SXNzdWU2MTY2MzE1NzQ=

Many (maybe most) images generated by st.pyplot() break in version 0.59

closed

NONE

I'm sorry I didn't document this well / can't generate a good bug report right now. From time to time Streamlit (v 0.58) will fail to generate an image. This manifests itself in the browser as a broken image reference and in the console as a "Missing image" error. This is very occasional and workable for my team's purposes. I upgraded to 0.59 and this became very frequent. My main viz page has 6 charts generated via st.pyplot() and always one or two are breaking. We're kind of a rinky operation with poor test tooling etc. but I can report that in v 0.58 this problem happened every 25-50 pageloads where as now it happens in pretty much every pageload. On my side I dis-upgraded to 0.58 and everything works to satisfaction again. I'm sorry I have too much on my plate and can't help more. Streamlit is surprisingly good at enabling non-"front-end engineers" to make data entry interfaces. Thanks for the great work.

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MDU6SXNzdWU2MTY2MDk5NDY=

ImportError .so file in python (invalid ELF header)

closed

NONE

# Summary I'm building a streamlit app with python and deploying it to heroku. The app uses the python wrapper from [Starspace](https://github.com/facebookresearch/StarSpace) and works locally but when running online on Heroku shows an **ImportError: /app/starwrap.so: invalid ELF header** # Steps to reproduce What are the steps we should take to reproduce the bug: 1. Cloned the [Starspace](https://github.com/facebookresearch/StarSpace) repo and followed the [steps](https://github.com/facebookresearch/StarSpace/blob/master/python/README.md#how-to-build) mentioned to compile the python wrapper 2. Moved the generated starwrapper.so to my Heroku repo and imported it like `import starwrap as sw` 3. Deploy app to Heroku ## Expected behavior: Running the streamlit app locally show no error and executes just fine. I can load a saved starspace model, make predictions and display some resutls. ## Actual behavior: In Heroku I get an error displayed when trying to import the starspace python wrapper. ImportError: /app/starwrap.so: invalid ELF header Traceback: File "/app/.heroku/python/lib/python3.8/site-packages/streamlit/ScriptRunner.py", line 322, in _run_script exec(code, module.__dict__) File "/app/collaborative_filtering_interface.py", line 3, in <module> import starwrap as sw ## Is this a regression? That is, did this use to work the way you expected in the past? No # Debug info - Streamlit version: 0.58.0 - Python version: 3.8.2 - OS version: MacOS # Additional information

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MDExOlB1bGxSZXF1ZXN0NDE2MzkxNTIw

st.declare_component; custom_wrapper

closed

COLLABORATOR

- Adds `st.declare_component`, which returns an instance of a new `CustomComponent` class - Adds a `@MyComponent.custom_wrapper` function decorator for customizing a component's API

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MDExOlB1bGxSZXF1ZXN0NDE2Mjg5Mjc5

Remove redundant home link in menu

closed

CONTRIBUTOR

`Home` link is redundant in the menu, as the link to return home is also in the house icon one inch above it 

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MDExOlB1bGxSZXF1ZXN0NDE2MjIwODAw

Remove unintentionally left Pipfile

closed

COLLABORATOR

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MDExOlB1bGxSZXF1ZXN0NDE2MjA1MDYz

Configuring ReadtheDocs

closed

CONTRIBUTOR

PR adds minimum configuration options to build on ReadtheDocs hosted environment. PR is not intended to address/remove code from make process for building/submitting doc updates in current process. Post merging to `develop`, need to address the following: - [ ] Change `docs.streamlit.io` to point to RTD - [ ] Change admin panel settings to point to `develop` as latest (currently points to `rtd_test` for testing) - [ ] Decide whether to backport configuration file to version 0.59 in order to populate `stable` branch on documentation or wait until 0.60 comes out to keep version history consistent

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MDExOlB1bGxSZXF1ZXN0NDE1OTUxODU1

Fix "strip()" bug when internal IP is None

closed

CONTRIBUTOR

Fixes #554

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MDExOlB1bGxSZXF1ZXN0NDE1OTQwODUz

Fix useless stack trace from bugs like #554.

closed

CONTRIBUTOR

The old code tried to work around a Tornado issue where exceptions were being swallowed, but it only partially succeeded. It showed the correct exception but the wrong stack trace. This fixes that.

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MDU6SXNzdWU2MTUyNjM5MTE=

grid layout for the main panel

closed

NONE

_(Note, you don't have to fill out every section here. They're just here for guidance. That said, nicely detailed feature requests are more likely to get eng attention sooner)_ ### Problem Is your feature request related to a problem? Please describe the problem here. Ex. I'm always frustrated when [...] ### Solution **MVP:** What's the smallest possible solution that would get 80% of the problem out of the way? **Possible additions:** Could you kindly add a way to create grid layout in the main panel? **Preferred solution:** If you don't like the MVP above, tell us why, and what you'd like done instead. ### Additional context Add any other context or screenshots about the feature request here. For exmaple, did this FR come from https://discuss.streamlit.io or another site? Link the original source here!

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MDU6SXNzdWU2MTUyNTQ3MzI=

None object returning in file uploader widget

closed

NONE

streamlit.file_uploader() widget is returning None type object eventhough uploading a csv file.

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MDU6SXNzdWU2MTUwNjAwNzE=

Streamlit deletes sys.modules on reload

open

NONE

# Summary When you run streamlit and use the reload feature it will delete entries from the sys.modules dict, causing a KeyError. # Steps to reproduce I can't seem to build a small reproducible example. It's happening to me on https://github.com/monash-emu/AuTuMN for commit 1eab4e862ae9e9aa99d489e98f13a78383cb5834 The steps to reproduce are: - run streamlit - make file change in watched module - reload page with r - see error video of reproduction: https://www.loom.com/share/74f242f7f2154708a8f54f6dff879101 ## Expected behavior: No items are deleted from sys.modules on reload ## Actual behavior: Items are deleted from sys.modules on reload ## Is this a regression? Dunno # Debug info - Streamlit version: 0.58.0 - Python version: 3.6.8 - Using virtualenv - OS version: Ubuntu 18.04.4 LTS - Browser version: Chromium ??? # Additional information Prior discussion: https://discuss.streamlit.io/t/keyerror-warnings/2474/6 I believe this line of code is the cause: https://github.com/streamlit/streamlit/blob/018f49f5ddb0fa0119c17aaf2bff1bc7f25f70e1/lib/streamlit/watcher/LocalSourcesWatcher.py#L114 I was able to stop the error from happening by hacking in a fix to that module (see linked discussion)

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MDU6SXNzdWU2MTUwMzA0Mjk=

Blank page in IE 11 running any streamlit script

closed

CONTRIBUTOR

# Summary Streamlit app does not show up in Internet Explorer. Total blank page on load of any script, including `streamlit hello` # Steps to reproduce What are the steps we should take to reproduce the bug: 1. `streamlit hello` 2. Load http://localhost:8501 in Internet Explorer ## Expected behavior: Something showing in the browser. ## Actual behavior: Page is completely blank. Browser does not seem to be continuing to try to load the page (i.e. page appears to be in a "loaded" state), but nothing shows inside the browser window. <img width="984" alt="Screen Shot 2020-05-08 at 4 08 40 PM" src="https://user-images.githubusercontent.com/98836/81456195-58b1b180-9146-11ea-89b4-723d9d1bb5e1.png"> ## Is this a regression? Maybe, maybe not. Since we don't do comprehensive front-end testing, it's not clear whether or when Streamlit has ever worked in IE. # Debug info - Streamlit version: 0.59.0 - Python version: python 3.7.14 and 3.8 - Using Conda? PipEnv? PyEnv? Pex? Conda - OS version: Windows 10 - Browser version: IE 11 # Additional information Noticed by 2 different users in the past 12 hours.

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MDU6SXNzdWU2MTQ5NzIwNTQ=

Heatmap

closed

NONE

Unable to load heat map from the cache? When I rerun the heatmap, it says heatmap ... done! But I had to refresh the cash to render it

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MDExOlB1bGxSZXF1ZXN0NDE1MzY3NDEz

Doc tweaks for Windows users: finding config.toml and userpath

closed

CONTRIBUTOR

**Issue:** #833 **Description:** Added language mostly helpful for first-steps experiences for Windows users. --- **Contribution License Agreement** By submitting this pull request you agree that all contributions to this project are made under the Apache 2.0 license.

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MDExOlB1bGxSZXF1ZXN0NDE0MzUyNzI5

Fixing date_input | min and max selectable date issues

closed

CONTRIBUTOR

**Issue:** This PR fixes #741 **Description:** New args: - min_date: default to 1970/1/1 - max_date: using BaseWeb's defaults --- **Contribution License Agreement** By submiting this pull request you agree that all contributions to this project are made under the Apache 2.0 license.

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MDExOlB1bGxSZXF1ZXN0NDE0MzQ2NDAx

Components: alpha 2 cleanup

closed

COLLABORATOR

Template and example code are separated into projects: - StreamlitComponent -> StreamlitComponentBase - All React code moved into "StreamlitReact.tsx" - MyComponent.tsx -> ReactTemplate.tsx - VanillaComponent moved into index.tsx - SelectableDataTable, RadioButton, CustomDataframe standalone examples And some small fixes: - Remove unsupported iframe sandbox option - Removed "setFrameHeight" and "setWidgetValue" from this.props. Just use the static Streamlit functions.

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MDExOlB1bGxSZXF1ZXN0NDE0Mjg1MTMy

Fix warnings in _init_.py from Sphinx

closed

CONTRIBUTOR

Fixes #1421 - Using Sphinx 3.0.3 on Ubuntu 18.04LTS, Sphinx throws a bunch of spacing warnings about the docstring for `write()`. Fixed issues. - Changed spelling of "Swiss Army knife" - Changed spacing for unsafe_html warning Validated locally via `make html` to build documentation, then looked at results in Chrome 81.x

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MDExOlB1bGxSZXF1ZXN0NDE0MjY2NTA5

TextArea and TextInput max_chars

closed

CONTRIBUTOR

**Issue:** This PR fixes #613 **Description:** Adding max_chars arg to text area and text input --- **Contribution License Agreement** By submiting this pull request you agree that all contributions to this project are made under the Apache 2.0 license.

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MDU6SXNzdWU2MTM0NDkzNTc=

Need hash_funcs for Torchvision model

closed

CONTRIBUTOR

Created from #1244 ``` import streamlit as st import torchvision @st.cache def fun(): model = torchvision.models.resnet18(pretrained=True) return model fun() ```

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MDU6SXNzdWU2MTM0MjYyODA=

_init_ docstring throws Sphinx build warnings

closed

CONTRIBUTOR

When building the docs, docstring throws warnings. Marking here in advanced of cleaning up myself ``` /home/rzwitch/github_work/streamlit/lib/streamlit/__init__.py:docstring of streamlit.write:5: WARNING: Unexpected indentation. /home/rzwitch/github_work/streamlit/lib/streamlit/__init__.py:docstring of streamlit.write:8: WARNING: Block quote ends without a blank line; unexpected unindent. /home/rzwitch/github_work/streamlit/lib/streamlit/__init__.py:docstring of streamlit.write:10: WARNING: Unexpected indentation. /home/rzwitch/github_work/streamlit/lib/streamlit/__init__.py:docstring of streamlit.write:50: WARNING: Unexpected indentation. /home/rzwitch/github_work/streamlit/lib/streamlit/__init__.py:docstring of streamlit.write:52: WARNING: Literal block ends without a blank line; unexpected unindent. /home/rzwitch/github_work/streamlit/lib/streamlit/__init__.py:docstring of streamlit.write:60: WARNING: Unexpected indentation. /home/rzwitch/github_work/streamlit/lib/streamlit/__init__.py:docstring of streamlit.write:62: WARNING: Literal block ends without a blank line; unexpected unindent. /home/rzwitch/github_work/streamlit/lib/streamlit/__init__.py:docstring of streamlit.write:66: WARNING: Unexpected indentation. /home/rzwitch/github_work/streamlit/lib/streamlit/__init__.py:docstring of streamlit.write:68: WARNING: Literal block ends without a blank line; unexpected unindent. /home/rzwitch/github_work/streamlit/lib/streamlit/__init__.py:docstring of streamlit.write:82: WARNING: Unexpected indentation. ```

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MDExOlB1bGxSZXF1ZXN0NDE0MTgwMTYz

Remove remaining Python 2 references

closed

CONTRIBUTOR

Removes two remaining Python 2 references from docs

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MDExOlB1bGxSZXF1ZXN0NDE0MTUxMDU5

PyCapsule hash func

closed

CONTRIBUTOR

Issue #1244

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MDU6SXNzdWU2MTMwNjc4MDc=

Graphistry integration

closed

CONTRIBUTOR

### Problem Integrate [Graphistry](https://www.graphistry.com/) into Streamlit. The following snippet works but is not ideal : ```python g = graphistry.bind(source="src", destination="dst", node="dst").nodes(edges).edges(edges) plot = g.settings(url_params={'play': 1000, 'bg': '%230a0a0a'}).plot() iframe = '<iframe src="' + plot + '", height="800", width="100%"></iframe>' st.markdown(iframe, unsafe_allow_html=True) ``` ### Solution Test if custom components or iframe support works with Graphistry. * For custom component, we need to know if Graphistry has a React/JS library that accepts some JSON input with data and configuration to display the graph in a div. * If not possible, then try to embed the HTML directly ### Additional context [Link to original discussion](https://discuss.streamlit.io/t/streamlit-graphistry-or-other-unsupported-media/2747)

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MDU6SXNzdWU2MTMwMTM3MzM=

Is there any method to configure access control ?

closed

NONE

Is there any method to configure access control ? if just share streamlit in workteam ,wish just can visit by using a password, such as Jupter notebook ,sets access control in a configure file.

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MDExOlB1bGxSZXF1ZXN0NDEzODA5NjQ4

Plugin CSS

closed

COLLABORATOR

This integrates @tvst's generated Streamlit CSS file. I also added some documentation to our iframe sandbox policy. @kantuni - I've moved your dataframe example into a separate python file (`selectable_dataframe_example.py`) so that we can keep the main example file for the tutorial.

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MDExOlB1bGxSZXF1ZXN0NDEzMjU2ODg2

User key support

closed

COLLABORATOR

If "key" is supplied, then ignore all other args when computing a component's widget_id. (This means that a component won't be re-mounted if its arguments change, allowing for things like animation and add_rows-esque functionality.)

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MDExOlB1bGxSZXF1ZXN0NDEzMjM0MTY3

Versioning, better component error handling, etc

closed

COLLABORATOR

A grab bag of little tweaks: - Simple versioning. Components send the API version they're targeting in the COMPONENT_READY message. - In the template project, don't automatically open the browser when we run yarn start - Catch and display component errors as <ErrorElement>s - Don't throw a "can't fetch component" error if we get disconnected from the server *after* having loaded that component

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MDExOlB1bGxSZXF1ZXN0NDEzMTA1Nzk0

fix: date of version 0.53.0

closed

CONTRIBUTOR

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MDExOlB1bGxSZXF1ZXN0NDEzMDY5MDI5

Selectable Data Table

closed

COLLABORATOR

There is some cleanup that I forgot to do, but otherwise - it's done.

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MDExOlB1bGxSZXF1ZXN0NDEzMDY4OTQ2

Setting textarea height and unit tests

closed

CONTRIBUTOR

**Issue:** This PR fixes #277 **Description:** - New parameter to set the height manually - If the height is already passed the user could change the height manually - Added unit testing --- **Contribution License Agreement** By submiting this pull request you agree that all contributions to this project are made under the Apache 2.0 license.

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MDU6SXNzdWU2MTE5MzA4OTY=

Streamlit app running inside Docker doesn't show logs

closed

NONE

# Summary I can't seem to manage to get logging working when running a streamlit app inside Docker. Neither logging calls nor prints are not shown on console or with `docker logs`. # Steps to reproduce 1. Clone git@github.com:danimateos/streamlitdockerlog.git, cd into directory 2. Docker build ``` docker build -t strtest:latest . ``` 3. Docker run ``` docker run -p 80:8501 strtest:latest ``` 4. Go to localhost on browser. 5. Watch docker logs: ``` docker logs [your_container_name] ``` ## Expected behavior: Three lines appear in the docker logs each time the browser tab is reloaded because of the following code in app.py: ```python logging.info('info') logging.error('error') print('print') ``` ## Actual behavior: Nothing appears with docker logs. When the app is run with `streamlit run app.py`, the three lines do appear. ## Is this a regression? Not that I know. # Debug info - Streamlit version: 0.58 - Python version: 3.8.2 - Using Conda? Yes, as described in the Dockerfile - OS version: Ubuntu 20.04 - Browser version: Chrome version 81.0.4044.122 (Official Build) (64-bit) # Additional information Possibly related to #1321 or #447

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MDExOlB1bGxSZXF1ZXN0NDEyOTY2MjUy

Bump https-proxy-agent to ^2.2.4

closed

COLLABORATOR

Added the required version to yarn resolutions.

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MDU6SXNzdWU2MTEzOTk3NjY=

HTML - Folium - Not able to display map properly on the app despite unsafe_allow_html=True

closed

NONE

I am creating an app using **streamlit** and **folium**. (I used `unsafe_allow_html=True` to make sure the map could be displayed in the app). My dataset contains 2000 rows. My deseriable output is a map of 2000 points, and if I click on each point, a pop up appears with information about address. - If I visualize everything **with** popup, the map **does not appear** on streamlit app. - If I visualize only 500 rows with popup, the map **appears** on streamlit app. - If I visualize everything **without** pop up, the map **appears** on streamlit app. Note that if I use folium alone, I could still manage to create an HTML map file of 2000 points with popup. It is just I could not visualize it on streamlit app. Could you have a check on this? Is it due to the size of my HTML?

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MDExOlB1bGxSZXF1ZXN0NDEyNTU2NzY0

Add "make mini-devel" to install minimal dev dependencies (i.e. doesn't install all the test dependencies)

closed

CONTRIBUTOR

This PR introduces the `make mini-devel` command to our Makefile. `make mini-devel` is the same as `make all-devel` but only installs dependencies you need to develop locally, assuming you don't need to run tests on your own machine. This is useful because our tests bring in a ton of dependencies that don't have much to do with the majority of development that our engineers do. For this to work, I moved the test dependencies out of Pipfile and into test-requirements.txt This is based on this discussion, in our old private eng forums (which is now deprecated!) https://discuss.streamlit.io/t/reducing-streamlit-dev-dependencies/2644/3

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MDExOlB1bGxSZXF1ZXN0NDEyNDczOTAw

Support Tornado 6+

closed

CONTRIBUTOR

Issue #1158 https://www.tornadoweb.org/en/stable/releases/v6.0.0.html

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MDExOlB1bGxSZXF1ZXN0NDEyNDExMjIy

Release 0.59.0

closed

CONTRIBUTOR

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MDExOlB1bGxSZXF1ZXN0NDEyNDA2ODUx

Clean up use of LoDash

closed

CONTRIBUTOR

While reviewing https://github.com/streamlit/streamlit/pull/1295 I noticed we're using LoDash's `flowRight` for apparently no reason. So I'm removing it here. @arraydude : I don't know LoDash well. Is there a reason why `flowRight` is preferable over pure function composition?

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MDExOlB1bGxSZXF1ZXN0NDEyMDYxODM4

Replace st.beta.*/st.experimental.* with st.beta_*/st.experimental_*

closed

CONTRIBUTOR

Problem: `st.beta` is confusing when you consider returned DGs and sidebar: ```py x = st.beta.color_picker() x.beta.color_picker() # ← Does not exist! x.color_picker() # ← Weirdly, exists! st.beta.sidebar.color_picker() # ← Does not exist! st.sidebar.beta.color_picker() # ← Does not exist! st.sidebar.color_picker() # ← Weirdly, exists! ``` This PR removes the `st.beta` and `st.experimental` namespaces and replaces them with simple `beta_` and `experimental_` prefixes. So you get this instead: ```py x = st.beta_color_picker() x.beta_color_picker() # ← Exists! YAY st.sidebar.beta_color_picker() # ← Exists! YAY ``` Cons: this is a little uglier than namespaces. Pros: solves the problem above, and is much simpler code.

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MDExOlB1bGxSZXF1ZXN0NDExNDk4NzUx

Bump jquery from 3.4.1 to 3.5.0 in /frontend

closed

CONTRIBUTOR

Bumps [jquery](https://github.com/jquery/jquery) from 3.4.1 to 3.5.0. <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/jquery/jquery/commit/7a0a850f3d41c0412609c1d32b1e602d4afe2f4e"><code>7a0a850</code></a> 3.5.0</li> <li><a href="https://github.com/jquery/jquery/commit/8570a08f6689223aa06ca8cc51d488c6d81d44f9"><code>8570a08</code></a> Release: Update AUTHORS.txt</li> <li><a href="https://github.com/jquery/jquery/commit/da3dd85b63c4e3a6a768132c2a83a1a6eec24840"><code>da3dd85</code></a> Ajax: Do not execute scripts for unsuccessful HTTP responses</li> <li><a href="https://github.com/jquery/jquery/commit/065143c2e93512eb0c82d1b344b71d06eb7cf01c"><code>065143c</code></a> Ajax: Overwrite s.contentType with content-type header value, if any</li> <li><a href="https://github.com/jquery/jquery/commit/1a4f10ddc37c34c6dc3a451ee451b5c6cf367399"><code>1a4f10d</code></a> Tests: Blacklist one focusin test in IE</li> <li><a href="https://github.com/jquery/jquery/commit/9e15d6b469556eccfa607c5ecf53b20c84529125"><code>9e15d6b</code></a> Event: Use only one focusin/out handler per matching window &amp; document</li> <li><a href="https://github.com/jquery/jquery/commit/966a70909019aa09632c87c0002c522fa4a1e30e"><code>966a709</code></a> Manipulation: Skip the select wrapper for &lt;option&gt; outside of IE 9</li> <li><a href="https://github.com/jquery/jquery/commit/1d61fd9407e6fbe82fe55cb0b938307aa0791f77"><code>1d61fd9</code></a> Manipulation: Make jQuery.htmlPrefilter an identity function</li> <li><a href="https://github.com/jquery/jquery/commit/04bf577e2f961c9dde85ddadc77f71bc7bc671cc"><code>04bf577</code></a> Selector: Update Sizzle from 2.3.4 to 2.3.5</li> <li><a href="https://github.com/jquery/jquery/commit/7506c9ca62a2f3ef773e19385918c31e9d62d412"><code>7506c9c</code></a> Build: Resolve Travis config warnings</li> <li>Additional commits viewable in <a href="https://github.com/jquery/jquery/compare/3.4.1...3.5.0">compare view</a></li> </ul> </details> <details> <summary>Maintainer changes</summary> <p>This version was pushed to npm by <a href="https://www.npmjs.com/~mgol">mgol</a>, a new releaser for jquery since your current version.</p> </details> <br /> [](https://help.github.com/articles/configuring-automated-security-fixes) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) - `@dependabot use these labels` will set the current labels as the default for future PRs for this repo and language - `@dependabot use these reviewers` will set the current reviewers as the default for future PRs for this repo and language - `@dependabot use these assignees` will set the current assignees as the default for future PRs for this repo and language - `@dependabot use this milestone` will set the current milestone as the default for future PRs for this repo and language You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/streamlit/streamlit/network/alerts). </details>

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MDExOlB1bGxSZXF1ZXN0NDExMjM1Mjk1

Change list() cast

closed

COLLABORATOR

--- **Issue:** [1397 - Multiselect check for defaults goes wrong if not a list](https://github.com/streamlit/streamlit/issues/1397) **Description:** - Use `list(iterable)` instead of `[iterable]` to avoid errors (see Issue) because if `iterable` is a tuple, then it converts not to a list, but to a list of tuple. Also [from SO](https://stackoverflow.com/questions/3790848/fastest-way-to-convert-an-iterator-to-a-list) it looks like a preferred practice overall --- **Contribution License Agreement** By submiting this pull request you agree that all contributions to this project are made under the Apache 2.0 license.

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MDExOlB1bGxSZXF1ZXN0NDExMjIyNDg4

Add theme for custom components

closed

CONTRIBUTOR

This adds `frontend/src/assets/css/custom_components_theme.scss` and tweaks a couple of things in our existing theme to make them reusable in the new file. The idea is that the Custom Components team should build a CSS file from the new SCSS file to ship with our boilerplate: ``` sass frontend/src/assets/css/custom_components_theme.scss streamlit_theme_css ``` (where `sass` [should first be installed](https://sass-lang.com/install))

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MDExOlB1bGxSZXF1ZXN0NDExMTQ0MDcy

Bump jquery to ^3.5.0

closed

COLLABORATOR

Fixes a security vulnerability.

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MDU6SXNzdWU2MDkzMjk3NjU=

make all-devel missing mypy-protobuf

closed

CONTRIBUTOR

# Summary When running `make all-devel` for first time, process fails because `mypy-protobuf` is not installed. # Steps to reproduce What are the steps we should take to reproduce the bug: ``` git clone streamlit make all-devel ``` ## Expected behavior: Would expect make process to build working environment ## Actual behavior: ``` protoc \ --proto_path=proto \ --python_out=lib \ --mypy_out=lib \ proto/streamlit/proto/*.proto protoc-gen-mypy: program not found or is not executable --mypy_out: protoc-gen-mypy: Plugin failed with status code 1. Makefile:197: recipe for target 'protobuf' failed make: *** [protobuf] Error 1 ``` ## Is this a regression? No # Debug info - Streamlit version: (get it with `$ streamlit version`) - Python version: (get it with `$ python --version`) - Using Conda? PipEnv? PyEnv? Pex? - OS version: - Browser version: # Additional information Fix appears to be `pip install mypy-protobuf`

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MDU6SXNzdWU2MDkwMTUxNDQ=

Multiselect check for defaults goes wrong if not a list

closed

COLLABORATOR

# Summary When using `st.multiselect()`, there's an error being thrown out if default values are given in a tuple instead of a list. **See additional info for a solution. I'm happy to do a PR if you're ok with my point.** # Steps to reproduce 1. Create an `app.py` with the following: ```python import streamlit as st INTENSITIES = ("a", "b", "c") st.multiselect( label="Choose among:", options=INTENSITIES, default=INTENSITIES, ) ``` 2. Now run `streamlit run app.py`. ## Expected behavior: The code above should work and print the following:  It does work if given `list` objects as in: ```python st.multiselect( label="Choose among:", options=list(INTENSITIES), default=list(INTENSITIES), ) ``` ## Actual behavior: Error shows: ```python StreamlitAPIException: Every Multiselect default value must exist in options ``` ## Is this a regression? Not sure about this. Didn't try before. # Debug info - Streamlit version: 0.58.0 - Python version: Python 3.6.9 :: Anaconda, Inc. - Using Conda - OS version: macOS Mojave 10.14.6 - Browser version: Google Chrome 81.0.4044.92 # Additional info Code responsible seems to [be here](https://github.com/streamlit/streamlit/blob/e1431cf04523a1e8f2a32eff1e223dae20219087/lib/streamlit/DeltaGenerator.py#L1685) when casting to list: ``` if not isinstance(default_values, list): default_values = [default_values] ``` Should rather be: ``` if not isinstance(default_values, list): default_values = list(default_values) ``` Otherwise, in the `tuple` case, `("a", "b", "c")` is converted to `[("a", "b", "c")]` hence the error.

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https://github.com/streamlit/streamlit/pull/1396

MDExOlB1bGxSZXF1ZXN0NDEwNDU3OTM5

"Vanilla" component template

closed

COLLABORATOR

- The Streamlit API is now encapsulated in "streamlit.ts", which doesn't use React. - Added VanillaComponent, an example component that doesn't use React.

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MDU6SXNzdWU2MDg1OTY1OTc=

pydeck_chart doesn't properly render 3D plots created using PointCloudLayer

closed

NONE

I have created the following example that shows that streamlit is not able to properly render a 3D plot using PointCloudLayer. # Code import streamlit as st import pandas as pd import numpy as np from sklearn.preprocessing import MinMaxScaler import pydeck MAPBOX_API_KEY='' @st.cache def genenerate_date(): data = pd.DataFrame(np.random.rand(100,3)) data.columns = ['x', 'y', 'z'] return data data_load_state = st.text('Loading data...') data = genenerate_date() data_load_state.text("Done! (using st.cache)") if st.checkbox('Show raw data'): st.subheader('Raw data') st.write(data) scaler = MinMaxScaler(feature_range=(0, 255)) rgb = pd.DataFrame(scaler.fit_transform(data)) rgb.columns = ['r','g','b'] rgb = rgb.astype(int) data = pd.concat([data, rgb], axis=1) target = list(data.mean()[['x','y','z']].values) view_state = pydeck.ViewState(target=target, controller=True, rotation_x=0, rotation_orbit=0, zoom=5) #view_state = pydeck.ViewState(offset=[0, 0], latitude=None, longitude=None, bearing=None, pitch=None, zoom=1) view = pydeck.View(type="OrbitView", controller=True) point_cloud_layer = pydeck.Layer( "PointCloudLayer", data=data, get_position=['x','y','z'],#[0:2]+['{} * 100000'.format(features[-1])], get_color=["r", "g", "b"], get_normal=[0, 0, 1], auto_highlight=True, pickable=True, point_size=1, radiusPixels=1, ) pydeck_obj = pydeck.Deck( map_style=None, mapbox_key=MAPBOX_API_KEY, initial_view_state=view_state, layers=[point_cloud_layer], views=[view] ) st.pydeck_chart(pydeck_obj=pydeck_obj) ''' st.deck_gl_chart(spec={'height':500, 'width':500, 'viewport':{'x':0, 'y':0, 'width':500, 'height':500}, 'layers':[{ 'data':data, 'type':'PointCloudLayer', 'get_position' : features, 'get_color' : ["r", "g", "b"], 'get_normal' : [0, 0, 1], 'point_size' : 1, 'radiusPixels':1 }]}) ''' I've also tried using `deck_gl_chart` function but that didn't work either. # Output <img width="758" alt="Screen Shot 2020-04-28 at 4 31 05 PM" src="https://user-images.githubusercontent.com/6896361/80534727-b3405600-896d-11ea-9a61-431c32941c24.png">

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MDExOlB1bGxSZXF1ZXN0NDEwMjcyMjE0

torch tensorbase

closed

CONTRIBUTOR

Issue #1268

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MDExOlB1bGxSZXF1ZXN0NDEwMjcyMDA5

socket hash func

closed

CONTRIBUTOR

Issue #852

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MDExOlB1bGxSZXF1ZXN0NDEwMjcxNTI0

Torch tensor hash_func

closed

CONTRIBUTOR

Issue #1388

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MDExOlB1bGxSZXF1ZXN0NDA5Nzc3OTgy

Allow serving components from a URL

closed

COLLABORATOR

- `yarn start` works to serve components - I renamed `connectToStreamlit()` -> `withStreamlitConnection()`

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MDU6SXNzdWU2MDc4NjIzNTg=

cannot cache function that does not accept an argument

closed

NONE

# Summary As per title. # Steps to reproduce I created a dummy app that had the following: ```python import streamlit as st @st.cache def load_data(): return 5 x = load_data() ``` ## Expected behavior: I expect the function to just be cached deterministically, as if I were using the `lru_cache` instead. It's nice to eliminate one more import line :smile:. ## Actual behavior: Instead, I see the following error: ``` InternalHashError: 'NoneType' object has no attribute 'startswith' While caching the body of load_data(), Streamlit encountered an object of type builtins.function, which it does not know how to hash. ``` ## Is this a regression? I think it _might_ be a regression, but I'm not 100% sure. # Debug info - Streamlit version: 0.57.3 - Python version: 3.8.1 - Using Conda - OS version: CentOS7 - Browser version: Chrome 81.0.4044.122

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MDU6SXNzdWU2MDc3MzEzNDU=

Quick wins

closed

CONTRIBUTOR

type: **epic** This epic contains a batch of issues that would be easy to tackle.

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MDU6SXNzdWU2MDc2NjIxNjQ=

Need hash func for Torch.Tensor

closed

CONTRIBUTOR

Here's a simple example of a program that can't be cached: ``` import torch import streamlit as st @st.cache def makeTensor(i,j): t = torch.zeros([i,j],dtype=torch.int32) return t st.title('Tensor test') st.write(makeTensor(1,2)) ``` which gives > UnhashableTypeError: Cannot hash object of type torch.Tensor, found in the return value of makeTensor(). From [comment](https://github.com/streamlit/streamlit/issues/1268#issuecomment-607569208) on #1268

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https://github.com/streamlit/streamlit/pull/1387

MDExOlB1bGxSZXF1ZXN0NDA4NzE1NzQy

Fix typos

closed

CONTRIBUTOR

**Issue:** Simple typos, didn't create issue **Description:** - In `advanced_caching.md`, deleted redundant example link - In `caching.md`, capitalized first letter of sentence - In `getting_started.md`, changed capitalization of deck.gl. From their documentation, it appears that it should either be all capitals or all lowercase - In `main_concepts.md`, changed 'that' to 'the' for proper grammar --- **Contribution License Agreement** By submiting this pull request you agree that all contributions to this project are made under the Apache 2.0 license.

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https://github.com/streamlit/streamlit/issues/1386

MDU6SXNzdWU2MDY1MTgyMDE=

Handle websocket connection timeouts gracefully

open

CONTRIBUTOR

From [discussion](https://discuss.streamlit.io/t/crosstalk-between-streamlit-sessions-with-multiple-users/319/13?u=jonathan_rhone) > what we were seeing was behavior due to how our load balancer was configured. We are running streamlit in a docker container on GKE behind a load balancer. Our websockets were timing out at 30s by default even if they were active (https://cloud.google.com/load-balancing/docs/backend-service#backend_service_settings 4). **The websocket connection breaking and instantly reconnecting in a browser caused some really odd behavior (multiple plots to load, sometimes certain plots would not load).**

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MDU6SXNzdWU2MDY0OTU2OTQ=

Need hash_func for type MappingProxy

closed

CONTRIBUTOR

```import streamlit as st from types import MappingProxyType class C(): a = 1 @st.cache(allow_output_mutation=True) def f(): return C.__dict__['a'] f() ``` raises `UnhashableType: Cannot hash object of type mappingproxy` Originated from #1244

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MDU6SXNzdWU2MDYxNzk2ODA=

Volunteer

closed

NONE

Hello everyone I am very much interested in contributing in streamlit.Can anyone guide me on how to get started?

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MDU6SXNzdWU2MDYxMTA2Mzk=

Deploying Streamlit on port 80

closed

NONE

Hi! I'm trying trying hard to redirect traffic from port 80 of my server to port 8501 where Streamlit runs by default. I tried both the methods described linked in the official faq ([here](https://github.com/streamlit/streamlit/wiki/FAQ)) aka the one with apache2 and the one with Nginx but after successfully using the reverse proxy ([here](https://discuss.streamlit.io/t/configuring-apache-2-4-for-proxy/1866/4)) the page gets stuck and never loads (as shown in the picture below) <img width="1197" alt="Schermata 2020-04-23 alle 22 28 09" src="https://user-images.githubusercontent.com/29484911/80186808-e0f46a80-860e-11ea-9181-0ff5a0875be8.png"> I successfully managed to use the following command on ubuntu to reroute traffic from port 80 to 8051 `sudo iptables -t nat -A PREROUTING -i eth0 -p tcp --dport 80 -j REDIRECT --to-port 8501` However I'm really looking forward to get it working with either apache2 or Nginx in order to use https. I'm currently using streamlit 0.58

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st.video() is not working with wmv file

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NONE

# Summary Hi all, I met a problem presenting a video. Basically I try to use the example code to present my video but brings up some bugs. I am not sure if it's my problem or something with the function. I appreciate any help! # Steps to reproduce My code is almost identical to the example code: st.subheader("Raw Audio") video_file = open('G:\\Video@2012.wmv', 'rb') video_bytes = video_file.read() st.video(video_bytes) Except for that my video lasts 36 seconds and is 1.67 MB ## Expected behavior: I expect it to show a video ## Actual behavior: AttributeError: 'EnumTypeWrapper' object has no attribute 'NATIVE' Traceback: File "C:\Users\ssxxz\AppData\Roaming\Python\Python36\site-packages\streamlit\ScriptRunner.py", line 322, in _run_script exec(code, module.__dict__) File "F:\Summer2019\moving_widge.py", line 185, in <module> st.video(video_bytes) File "C:\Users\ssxxz\AppData\Roaming\Python\Python36\site-packages\streamlit\DeltaGenerator.py", line 121, in wrapped_method return dg._enqueue_new_element_delta(marshall_element, delta_type, last_index) File "C:\Users\ssxxz\AppData\Roaming\Python\Python36\site-packages\streamlit\DeltaGenerator.py", line 342, in _enqueue_new_element_delta rv = marshall_element(msg.delta.new_element) File "C:\Users\ssxxz\AppData\Roaming\Python\Python36\site-packages\streamlit\DeltaGenerator.py", line 119, in marshall_element return method(dg, element, *args, **kwargs) File "C:\Users\ssxxz\AppData\Roaming\Python\Python36\site-packages\streamlit\DeltaGenerator.py", line 1561, in video media_proto.marshall_video(element.video, data, format, start_time) File "C:\Users\ssxxz\AppData\Roaming\Python\Python36\site-packages\streamlit\elements\media_proto.py", line 125, in marshall_video proto.type = Video_pb2.Video.Type.NATIVE ## Is this a regression? That is, did this use to work the way you expected in the past? No # Debug info - Streamlit version: (get it with `$ streamlit version`) 0.57.3 - Python version: (get it with `$ python --version`) 3.6.8 - Using Conda? PipEnv? PyEnv? Pex? Conda - OS version: Windows 10 - Browser version: Chrome: 81.0.4044.122 # Additional information If needed, add any other context about the problem here. For example, did this bug come from https://discuss.streamlit.io or another site? Link the original source here! Thank you so much！

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hashing pandas with spacy tokens

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NONE

# Summary I am generating a pandas data frame with one column being tokens from a spacy module. As it its quite a process to generate this table, I placed it on cache and end up with an error **InternalHashError: [E112]** # Steps to reproduce What are the steps we should take to reproduce the bug: Perform a nlp(document) or something win a function that is applied to a pandas columns with pd.DataFrame.progress_apply(...) (because I wanted to see the loading times on console). Specifically I saved in a column the tokens that passed a filtering function from a string of another column of the same pandas dataframe. ## Expected behavior: Have the DataFrame loaded ## Actual behavior: InternalHashError: [E112] Pickling a span is not supported, because spans are only views of the parent Doc and can't exist on their own. A pickled span would always have to include its Doc and Vocab, which has practically no advantage over pickling the parent Doc directly. So instead of pickling the span, pickle the Doc it belongs to or use Span.as_doc to convert the span to a standalone Doc object. While caching the body of get_interactions(), Streamlit encountered an object of type pandas.core.frame.DataFrame, which it does not know how to hash. ## Is this a regression? That is, did this use to work the way you expected in the past? yes / **NO** # Debug info - Streamlit version: 0.57.3 - Python version: 3.7.6 - Pandas version: 0.25.3 - Spacy version: 2.2.4 - tqdm Version: 4.42.0 - OS version: MacOS - Browser version: Chrome # Additional information I'm also having issues with loading times. Is it expected to get knocked out from a Streamlit session when having functions that take too long to execute?

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