The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Home Page: https://awesome-streamlit.org
License: Creative Commons Attribution Share Alike 4.0 International
Hello There,
I wrote a simple python code formatter app in Streamlit over the weekend and I'd be happy to contribute it to the gallery, if it's of any interest to anyone else:
Website: https://streamlit-python-formatter.herokuapp.com/
Repo: https://github.com/stabacco/streamlit-python-formatter
If you find this useful I'd be happy to submit a PR.
First off, thanks for the great resource!
I tried containerizing a simple demo myself, and can't get it working on a CentOS (though it works on Windows); however, your image works 👍
But an issue with the gallery piece (only spacy demo is working), as shown below:
Exact error message is:
URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1076)>
File "/usr/local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 306, in _run_script exec(code, module.__dict__)
File "/app/app.py", line 40, in <module> src.st_extensions.write_page(page)
File "/app/src/st_extensions.py", line 32, in write_page page.write()
File "/app/src/pages/gallery/index.py", line 51, in write python_code = get_file_content_as_string(run_app.url)
File "/usr/local/lib/python3.7/site-packages/streamlit/caching.py", line 544, in wrapped_func return get_or_set_cache()
File "/usr/local/lib/python3.7/site-packages/streamlit/caching.py", line 526, in get_or_set_cache return_value = func(*args, **kwargs)
File "/app/src/pages/gallery/index.py", line 122, in get_file_content_as_string data = urllib.request.urlopen(url).read()
File "/usr/local/lib/python3.7/urllib/request.py", line 222, in urlopen return opener.open(url, data, timeout)
File "/usr/local/lib/python3.7/urllib/request.py", line 525, in open response = self._open(req, data)
File "/usr/local/lib/python3.7/urllib/request.py", line 543, in _open '_open', req)
File "/usr/local/lib/python3.7/urllib/request.py", line 503, in _call_chain result = func(*args)
File "/usr/local/lib/python3.7/urllib/request.py", line 1360, in https_open context=self._context, check_hostname=self._check_hostname)
File "/usr/local/lib/python3.7/urllib/request.py", line 1319, in do_open raise URLError(err)There is an issue with the certificate on the https://awesome-streamlit.org/ website, probably outdated?
From what I can tell the Gallery radio button in the sidebar directs users to the interactive gaussian demo, but other examples are not visible.
When using page names with spaces, the application can not start. Example of the error message below.
File "C:\Users\fches\Documents\_Programming\02_Python\tests\streamlit\LuXRD\app.py", line 7 import src.pages.Processed samples as Processed samples ^ SyntaxError: invalid syntax
Fix being worked on.
I'm using a Python3.7 conda environment with streamlit installed:
$ streamlit --version
Streamlit, version 0.57.3
$ python --version
Python 3.7.7
$ pip freeze | grep awesome-streamlit
awesome-streamlit==20191018.1However, if I try to import it in the Python repl:
import awesome_streamlit as astI get
ModuleNotFoundError: No module named 'awesome_streamlit.database'
Hi, I tried running the first bokeh demo from the gallery. I was able to launch the app, but the bokeh plot was not displayed.
Code and expected result:
The outcome was just a blank streamlit app.
I'll follow-up if I find a fix
Hi Marc,
Hope you are well.
Thanks for a well-made streamlit application. I'm learning the best practices of the library, and I was wondering how to switch between the toml and config files in production and development.
Best regards
I am trying to deploy my app via gitlab CI on AWS. But it get the following error and I think it has issues with the setup.py file:
Hi Marc,
Hope you are well.
Thanks for this amazing resource.
I have found many tutorials for deploying streamlit applications on cloud (Heroku, AWS, ...) but any for standalone servers. I have an Apache server running web applications on port 80 and would like to deploy streamlit as a subdomain. Do you have a tutorial to do this?
Sorry if it is a silly question but I'm used to working with Flask applications, there is a service like mod_wsgi for deploying streamlit with Apache?
Cheers!
Thanks for the great work!
Regarding the integrated debugging tutorial:
When I move to other pages it does not stop at the breakpoint in that page file. It works in the main file which is ran with
streamlit run src/main.py
But not with the pages that are called from main.
Has anyone managed to fix this?
A question regarding the bokeh.models.Div workaround for running custom HTML and JS.
I am trying to display a pyLDAvis output, and I am aware the streamlit does not support this currently. I have been attempting to use the workaround in the Custom Widgets Hack, but it does not seem to work by passing in the JS and HTML outputs from the pyLDAvis.save_html() output. Do you know of any workaround that could get the display running? I have attached a sample output from pyLDAvis.save_html().
Any guidance is greatly appreciated.
lda_vis.zip
When I run my awesome-streamlit docker container locally or on Azure it's snappy. But over time it gets unresponsive.
When the docker container is just run
docker run -it -p 80:80 --entrypoint "streamlit" marcskovmadsen/awesome-streamlit:latest run app.pyI can navigate from the Home to the Vision page in much less than a second.
It's the same when the container is deployed to https://awesome-streamlit.azurewebsites.net
But after some time the response time increases on Azure but not locally. For example after runing 30 minutes in Azure the response time is like 8 seconds. And in the end it gets so unresponsive that nobody would ever wait on it.
The resources and gallery screens throw an error for me.
I'm just beginning to use streamlit and was wondering how to use it from a docker container, somehow I found your project and lots of responses.
However I have trouble using your docker app and feel like I might be missing something:
docker run -ti -p 80:80 --entrypoint "streamlit" marcskovmadsen/awesome-streamlit:latest run app.py
Initialized tornado logs
Server state: None -> State.INITIAL
Creating new context for ws PREHEATED_REPORT_SESSION
No singleton. Registering one.
Watcher created for /app/app.py
ReportSession initialized (id=0)
Beginning script thread
Starting server...
Running script RerunData(widget_state=None)
Serving static content from /usr/local/lib/python3.7/site-packages/streamlit/static
OnScriptRunnerEvent: ScriptRunnerEvent.SCRIPT_STARTED
New browser connection: gather_usage_stats=True, sharing_enabled=False, max_cached_message_age=2
Server started on port 80
Server state: State.INITIAL -> State.WAITING_FOR_FIRST_BROWSER
You can now view your Streamlit app in your browser.
URL: http://0.0.0.0:80
Hashing arguments to set_logging_format of 213 bytes.
Hashing function set_logging_format in 170 bytes.
Cache key: 58a14a7193f513268e179c87de37b6f5
Memory cache MISS: 58a14a7193f513268e179c87de37b6f5
2019-10-30 09:45:29,478 streamlit.ReportSession: OnScriptRunnerEvent: ScriptRunnerEvent.SCRIPT_STOPPED_WITH_SUCCESS
2019-10-30 09:45:29,478 streamlit.ReportSession: OnScriptRunnerEvent: ScriptRunnerEvent.SHUTDOWNI actually can't reach the 0.0.0.0 URL.
Is there something obvious I missed ?
Thanks you for your help
I was looking at this line and was confused why you had to do that.
I feel like whatever you're trying to accomplish is something which Streamlit should fix automatically. Could you please share some insight?
Thanks!
Adrien
Extend Readme.md with description how to install awesome-streamlit via anaconda.
Commands would be:
Prerequisite:
commands:
...
conda create -n awesome-streamlit python=3.7.4 anaconda
activate awesome-streamlit
...
Hi, great repo !
Just a small mistake in the Readme.md,
On Linux, OsX or in a Windows Git Bash terminal it's
source .venv/bin/activate(instead of Scripts)
Have a great day,
On my laptop I can access it
On my youngest and oldest sons pc's I cannot access the site
I want to add my personal project as a contribution
Link: https://github.com/jai-dewani/DeepNeural-Net-Visualiser
Hosted Link: https://visualize-neural-network.herokuapp.com/
The hosted version may take some time to warm up because it is hosted on free tier of Heroku
thanks for releasing this awesome repo - it's very helpful!
I'd greatly appreciate some clarification on a basic Streamlit concept: I have a Streamlit app running on my laptop. I'd like to share the url with some friends, and would like the computation of any query based on the user inputs from each instance of the app to run in parallel, so any user would have to wait the same amount of time as a single user of the app.
Does Streamlit already handle this (via Tornado), or do I have to build in concurrent computation in my code?
I'm posting this query here as you have made an app available to multiple users that are able to use the app.
I hope my question makes sense. Looking forward to your reply.
Hello! I would like to contribute my streamlit project that was done for a school course!
Website: https://playstore-analytics.herokuapp.com/
Github link: https://github.com/lyqht/googleplaystore-analytics
Please guide me on how to do this and if i should make any revisions, thank you!
When I navigate away from a page like the resources page or the gallery the multiselect does not work as expected.
To reproduce this
6. Verify in the Image above the "Marc Skov Madsen" is selected as Author but everything is refers to the SpacyIO application of Ines.
Hi, I also want to contribute my interactive project to the gallery!
Web: https://nyc-airbnb-analysis.herokuapp.com/
Github: https://github.com/fallenleaves404/NYC_Airbnb_Analysis
If I need some revision, please let me know!
And also thanks to @lyqht, for inspiring me to build a project
Hello Marc,
I read your very nice hack to create a login widget (gallery/custom_widget_hack/custom_login_widget.py)
I need a way to "unfocus" all the buttonson the form. (in javascript document.activeElement.blur())
any idea if I can use the bokeh_chart hack to run this javascript line?
I tried and I can't find a way.
Is the webapp for awesome streamlit down?
I am following your docker image:
sudo docker run -it -p 80:80 --entrypoint "streamlit" marcskovmadsen/awesome-streamlit:latest run app.py
when I run I get this output:
You can now view your Streamlit app in your browser.
URL: http://0.0.0.0:80
My question is this app is on a ubuntu PC and runs successfully on localhost.
But when I try to connect to this app using <Ubuntu_PC_ExternalIP>:80 through another wifi network. I don't get any results. Why is that? How can I fix it ?
Hi!
I just fount out about streamlit and this project, and I'm evaluating using it for my next project.
Before diving in, I was browsing projects made with streamlit, starring from awesome-streamlit.org.
Sadly, I encounter many problems in doing that:
Not a great advertisement of the product, I must say!
Is this a problem with streamlit or is it that the hosting is crippled and doesn't handle the traffic well?
EDIT: Just tried cloning the repo and running locally, it works fine! so it's something related to the network (not on my side, I tried with both ADSL and LTE connections, same result) or hosting
I installed anaconda navigator and created a new enviroment with Python version 3.8.2.
I launched the anaconda navigator prompt and did:
conda activate awesome-streamlit
Once the environment was activated, I changed to the directory to where awesome-streamlit is present and did:
(awesome-streamlit) C:\Users\kashy\OneDrive\Desktop\ediapp>pip install -r requirements.txt
Following which, I start getting the error:
(awesome-streamlit) C:\Users\kashy\OneDrive\Desktop\ediapp>pip install -r requirements.txt
Collecting streamlit==0.49.0
Using cached streamlit-0.49.0-py2.py3-none-any.whl (5.1 MB)
Collecting invoke==1.3.0
Using cached invoke-1.3.0-py3-none-any.whl (207 kB)
Collecting pandas==0.24.2
Downloading pandas-0.24.2.tar.gz (11.8 MB)
|████████████████████████████████| 11.8 MB 2.0 kB/s
Collecting xlrd==1.2.0
Using cached xlrd-1.2.0-py2.py3-none-any.whl (103 kB)
Collecting pytest
Using cached pytest-5.4.2-py3-none-any.whl (247 kB)
Collecting pytest-sugar
Using cached pytest-sugar-0.9.3.tar.gz (12 kB)
Collecting pytest-mock
Using cached pytest_mock-3.1.0-py2.py3-none-any.whl (10 kB)
Collecting pytest-cov
Using cached pytest_cov-2.8.1-py2.py3-none-any.whl (18 kB)
Requirement already satisfied: isort>=4.3.15 in c:\users\kashy\anaconda3\envs\awesome-streamlit\lib\site-packages (from -r ./requirements_base.txt (line 22)) (4.3.21)
Requirement already satisfied: pylint in c:\users\kashy\anaconda3\envs\awesome-streamlit\lib\site-packages (from -r ./requirements_base.txt (line 23)) (2.5.0)
Collecting pylint2junit
Using cached pylint2junit-1.0.1-py3-none-any.whl (6.5 kB)
Collecting black
Using cached black-19.10b0-py36-none-any.whl (97 kB)
Collecting autoflake
Using cached autoflake-1.3.1.tar.gz (17 kB)
Collecting coverage
Downloading coverage-5.1-cp38-cp38-win_amd64.whl (206 kB)
|████████████████████████████████| 206 kB 2.2 MB/s
Collecting mypy
Downloading mypy-0.770-cp38-cp38-win_amd64.whl (7.8 MB)
|████████████████████████████████| 7.8 MB 3.3 MB/s
Collecting bandit
Using cached bandit-1.6.2-py2.py3-none-any.whl (122 kB)
Collecting Sphinx==1.8.4
Using cached Sphinx-1.8.4-py2.py3-none-any.whl (3.1 MB)
Collecting sphinx_rtd_theme
Using cached sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB)
Collecting recommonmark
Using cached recommonmark-0.6.0-py2.py3-none-any.whl (10 kB)
Collecting sphinx-autobuild
Using cached sphinx-autobuild-0.7.1.tar.gz (14 kB)
Collecting doc8
Using cached doc8-0.8.0-py2.py3-none-any.whl (19 kB)
Collecting spacy==2.2.1
Downloading spacy-2.2.1.tar.gz (5.8 MB)
|████████████████████████████████| 5.8 MB 218 kB/s
Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... error
ERROR: Command errored out with exit status 1:
command: 'C:\Users\kashy\anaconda3\envs\awesome-streamlit\python.exe' 'C:\Users\kashy\anaconda3\envs\awesome-streamlit\lib\site-packages\pip' install --ignore-installed --no-user --prefix 'C:\Users\kashy\AppData\Local\Temp\pip-build-env-q38svyds\normal' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- wheel 'cymem<2.1.0,>=2.0.2' 'preshed<3.1.0,>=3.0.2' 'thinc<7.2.0,>=7.1.1' 'cython>=0.25' 'murmurhash<1.1.0,>=0.28.0'
cwd: None
Complete output (215 lines):
Collecting wheel
Using cached wheel-0.34.2-py2.py3-none-any.whl (26 kB)
Collecting cymem<2.1.0,>=2.0.2
Downloading cymem-2.0.3-cp38-cp38-win_amd64.whl (33 kB)
Collecting preshed<3.1.0,>=3.0.2
Downloading preshed-3.0.2-cp38-cp38-win_amd64.whl (115 kB)
Collecting thinc<7.2.0,>=7.1.1
Downloading thinc-7.1.1.tar.gz (1.9 MB)
Collecting cython>=0.25
Downloading Cython-0.29.17-cp38-cp38-win_amd64.whl (1.7 MB)
Collecting murmurhash<1.1.0,>=0.28.0
Downloading murmurhash-1.0.2-cp38-cp38-win_amd64.whl (20 kB)
Collecting blis<0.5.0,>=0.4.0
Downloading blis-0.4.1-cp38-cp38-win_amd64.whl (5.0 MB)
Collecting wasabi<1.1.0,>=0.0.9
Using cached wasabi-0.6.0-py3-none-any.whl (20 kB)
Collecting srsly<1.1.0,>=0.0.6
Downloading srsly-1.0.2-cp38-cp38-win_amd64.whl (181 kB)
Collecting numpy>=1.7.0
Downloading numpy-1.18.4-cp38-cp38-win_amd64.whl (12.8 MB)
Collecting plac<1.0.0,>=0.9.6
Using cached plac-0.9.6-py2.py3-none-any.whl (20 kB)
Collecting tqdm<5.0.0,>=4.10.0
Using cached tqdm-4.46.0-py2.py3-none-any.whl (63 kB)
Building wheels for collected packages: thinc
Building wheel for thinc (setup.py): started
Building wheel for thinc (setup.py): finished with status 'error'
ERROR: Command errored out with exit status 1:
command: 'C:\Users\kashy\anaconda3\envs\awesome-streamlit\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\kashy\\AppData\\Local\\Temp\\pip-install-062p5m4u\\thinc\\setup.py'"'"'; __file__='"'"'C:\\Users\\kashy\\AppData\\Local\\Temp\\pip-install-062p5m4u\\thinc\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\kashy\AppData\Local\Temp\pip-wheel-shptm3u2'
cwd: C:\Users\kashy\AppData\Local\Temp\pip-install-062p5m4u\thinc\
Complete output (166 lines):
running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-3.8
creating build\lib.win-amd64-3.8\thinc
copying thinc\about.py -> build\lib.win-amd64-3.8\thinc
copying thinc\api.py -> build\lib.win-amd64-3.8\thinc
copying thinc\check.py -> build\lib.win-amd64-3.8\thinc
copying thinc\compat.py -> build\lib.win-amd64-3.8\thinc
copying thinc\describe.py -> build\lib.win-amd64-3.8\thinc
copying thinc\exceptions.py -> build\lib.win-amd64-3.8\thinc
copying thinc\i2v.py -> build\lib.win-amd64-3.8\thinc
copying thinc\loss.py -> build\lib.win-amd64-3.8\thinc
copying thinc\misc.py -> build\lib.win-amd64-3.8\thinc
copying thinc\rates.py -> build\lib.win-amd64-3.8\thinc
copying thinc\t2t.py -> build\lib.win-amd64-3.8\thinc
copying thinc\t2v.py -> build\lib.win-amd64-3.8\thinc
copying thinc\v2v.py -> build\lib.win-amd64-3.8\thinc
copying thinc\__init__.py -> build\lib.win-amd64-3.8\thinc
creating build\lib.win-amd64-3.8\thinc\tests
copying thinc\tests\conftest.py -> build\lib.win-amd64-3.8\thinc\tests
copying thinc\tests\strategies.py -> build\lib.win-amd64-3.8\thinc\tests
copying thinc\tests\test_api_funcs.py -> build\lib.win-amd64-3.8\thinc\tests
copying thinc\tests\test_util.py -> build\lib.win-amd64-3.8\thinc\tests
copying thinc\tests\util.py -> build\lib.win-amd64-3.8\thinc\tests
copying thinc\tests\__init__.py -> build\lib.win-amd64-3.8\thinc\tests
creating build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_about.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_affine.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_beam_search.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_check_exceptions.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_difference.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_feature_extracter.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_hash_embed.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_imports.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_linear.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_loss.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_mem.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_model.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_ops.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_pickle.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_pooling.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_pytorch_wrapper.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_rates.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\test_rnn.py -> build\lib.win-amd64-3.8\thinc\tests\unit
copying thinc\tests\unit\__init__.py -> build\lib.win-amd64-3.8\thinc\tests\unit
creating build\lib.win-amd64-3.8\thinc\tests\integration
copying thinc\tests\integration\test_affine_learns.py -> build\lib.win-amd64-3.8\thinc\tests\integration
copying thinc\tests\integration\test_basic_tagger.py -> build\lib.win-amd64-3.8\thinc\tests\integration
copying thinc\tests\integration\test_batch_norm.py -> build\lib.win-amd64-3.8\thinc\tests\integration
copying thinc\tests\integration\test_feed_forward.py -> build\lib.win-amd64-3.8\thinc\tests\integration
copying thinc\tests\integration\test_mnist.py -> build\lib.win-amd64-3.8\thinc\tests\integration
copying thinc\tests\integration\test_pickle.py -> build\lib.win-amd64-3.8\thinc\tests\integration
copying thinc\tests\integration\test_roundtrip_bytes.py -> build\lib.win-amd64-3.8\thinc\tests\integration
copying thinc\tests\integration\test_shape_check.py -> build\lib.win-amd64-3.8\thinc\tests\integration
copying thinc\tests\integration\__init__.py -> build\lib.win-amd64-3.8\thinc\tests\integration
creating build\lib.win-amd64-3.8\thinc\tests\linear
copying thinc\tests\linear\test_avgtron.py -> build\lib.win-amd64-3.8\thinc\tests\linear
copying thinc\tests\linear\test_linear.py -> build\lib.win-amd64-3.8\thinc\tests\linear
copying thinc\tests\linear\test_sparse_array.py -> build\lib.win-amd64-3.8\thinc\tests\linear
copying thinc\tests\linear\__init__.py -> build\lib.win-amd64-3.8\thinc\tests\linear
creating build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\__init__.py -> build\lib.win-amd64-3.8\thinc\linear
creating build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\mem.py -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\pooling.py -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\train.py -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\util.py -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\vec2vec.py -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\vecs2vec.py -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\vecs2vecs.py -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\_lsuv.py -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\__init__.py -> build\lib.win-amd64-3.8\thinc\neural
creating build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\datasets.py -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\hpbff.py -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\load_nlp.py -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\visualizer.py -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\wrappers.py -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\__init__.py -> build\lib.win-amd64-3.8\thinc\extra
creating build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\affine.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\attention.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\batchnorm.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\convolution.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\difference.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\elu.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\embed.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\encoder_decoder.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\feature_extracter.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\feed_forward.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\function_layer.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\hash_embed.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\layernorm.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\maxout.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\model.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\multiheaded_attention.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\relu.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\resnet.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\rnn.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\selu.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\softmax.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\static_vectors.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
copying thinc\neural\_classes\__init__.py -> build\lib.win-amd64-3.8\thinc\neural\_classes
creating build\lib.win-amd64-3.8\thinc\extra\_vendorized
copying thinc\extra\_vendorized\keras_datasets.py -> build\lib.win-amd64-3.8\thinc\extra\_vendorized
copying thinc\extra\_vendorized\keras_data_utils.py -> build\lib.win-amd64-3.8\thinc\extra\_vendorized
copying thinc\extra\_vendorized\keras_generic_utils.py -> build\lib.win-amd64-3.8\thinc\extra\_vendorized
copying thinc\extra\_vendorized\__init__.py -> build\lib.win-amd64-3.8\thinc\extra\_vendorized
creating build\lib.win-amd64-3.8\thinc\extra\wrapt
copying thinc\extra\wrapt\decorators.py -> build\lib.win-amd64-3.8\thinc\extra\wrapt
copying thinc\extra\wrapt\importer.py -> build\lib.win-amd64-3.8\thinc\extra\wrapt
copying thinc\extra\wrapt\wrappers.py -> build\lib.win-amd64-3.8\thinc\extra\wrapt
copying thinc\extra\wrapt\__init__.py -> build\lib.win-amd64-3.8\thinc\extra\wrapt
copying thinc\linalg.pyx -> build\lib.win-amd64-3.8\thinc
copying thinc\structs.pyx -> build\lib.win-amd64-3.8\thinc
copying thinc\typedefs.pyx -> build\lib.win-amd64-3.8\thinc
copying thinc\cpu.pxd -> build\lib.win-amd64-3.8\thinc
copying thinc\linalg.pxd -> build\lib.win-amd64-3.8\thinc
copying thinc\structs.pxd -> build\lib.win-amd64-3.8\thinc
copying thinc\typedefs.pxd -> build\lib.win-amd64-3.8\thinc
copying thinc\__init__.pxd -> build\lib.win-amd64-3.8\thinc
copying thinc\compile_time_constants.pxi -> build\lib.win-amd64-3.8\thinc
copying thinc\linalg.cpp -> build\lib.win-amd64-3.8\thinc
copying thinc\structs.cpp -> build\lib.win-amd64-3.8\thinc
copying thinc\typedefs.cpp -> build\lib.win-amd64-3.8\thinc
copying thinc\linear\avgtron.pyx -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\features.pyx -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\linear.pyx -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\serialize.pyx -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\sparse.pyx -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\avgtron.pxd -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\features.pxd -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\serialize.pxd -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\sparse.pxd -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\__init__.pxd -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\avgtron.cpp -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\features.cpp -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\linear.cpp -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\serialize.cpp -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\linear\sparse.cpp -> build\lib.win-amd64-3.8\thinc\linear
copying thinc\neural\ops.pyx -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\optimizers.pyx -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\_aligned_alloc.pyx -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\cpu.pxd -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\ops.pxd -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\__init__.pxd -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\ops.cpp -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\optimizers.cpp -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\neural\_aligned_alloc.cpp -> build\lib.win-amd64-3.8\thinc\neural
copying thinc\extra\cache.pyx -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\eg.pyx -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\mb.pyx -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\search.pyx -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\cache.pxd -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\eg.pxd -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\mb.pxd -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\search.pxd -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\__init__.pxd -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\cache.cpp -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\eg.cpp -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\mb.cpp -> build\lib.win-amd64-3.8\thinc\extra
copying thinc\extra\search.cpp -> build\lib.win-amd64-3.8\thinc\extra
running build_ext
error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/
----------------------------------------
ERROR: Failed building wheel for thinc
Running setup.py clean for thinc
Failed to build thinc
Installing collected packages: wheel, cymem, murmurhash, preshed, numpy, blis, wasabi, srsly, plac, tqdm, thinc, cython
Running setup.py install for thinc: started
Running setup.py install for thinc: finished with status 'error'
ERROR: Command errored out with exit status 1:
command: 'C:\Users\kashy\anaconda3\envs\awesome-streamlit\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\kashy\\AppData\\Local\\Temp\\pip-install-062p5m4u\\thinc\\setup.py'"'"'; __file__='"'"'C:\\Users\\kashy\\AppData\\Local\\Temp\\pip-install-062p5m4u\\thinc\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\kashy\AppData\Local\Temp\pip-record-du2vb3ti\install-record.txt' --single-version-externally-managed --prefix 'C:\Users\kashy\AppData\Local\Temp\pip-build-env-q38svyds\normal' --compile --install-headers 'C:\Users\kashy\AppData\Local\Temp\pip-build-env-q38svyds\normal\Include\thinc'
cwd: C:\Users\kashy\AppData\Local\Temp\pip-install-062p5m4u\thinc\
Complete output (5 lines):
running install
running build
running build_py
running build_ext
error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/
----------------------------------------
ERROR: Command errored out with exit status 1: 'C:\Users\kashy\anaconda3\envs\awesome-streamlit\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\kashy\\AppData\\Local\\Temp\\pip-install-062p5m4u\\thinc\\setup.py'"'"'; __file__='"'"'C:\\Users\\kashy\\AppData\\Local\\Temp\\pip-install-062p5m4u\\thinc\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\kashy\AppData\Local\Temp\pip-record-du2vb3ti\install-record.txt' --single-version-externally-managed --prefix 'C:\Users\kashy\AppData\Local\Temp\pip-build-env-q38svyds\normal' --compile --install-headers 'C:\Users\kashy\AppData\Local\Temp\pip-build-env-q38svyds\normal\Include\thinc' Check the logs for full command output.
----------------------------------------
ERROR: Command errored out with exit status 1: 'C:\Users\kashy\anaconda3\envs\awesome-streamlit\python.exe' 'C:\Users\kashy\anaconda3\envs\awesome-streamlit\lib\site-packages\pip' install --ignore-installed --no-user --prefix 'C:\Users\kashy\AppData\Local\Temp\pip-build-env-q38svyds\normal' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- wheel 'cymem<2.1.0,>=2.0.2' 'preshed<3.1.0,>=3.0.2' 'thinc<7.2.0,>=7.1.1' 'cython>=0.25' 'murmurhash<1.1.0,>=0.28.0' Check the logs for full command output.
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