notnews
classifiers for soft news based on the story text and the url structure for both the US and UK news media.
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classifiers for soft news based on the story text and the url structure for both the US and UK news media.
Basic Info
- Host: GitHub
- Owner: notnews
- License: mit
- Language: Jupyter Notebook
- Default Branch: master
- Homepage: https://notnews-notnews-streamlitstreamlit-app-u8j3a6.streamlit.app/
- Size: 42.1 MB
Statistics
- Stars: 7
- Watchers: 2
- Forks: 2
- Open Issues: 0
- Releases: 1
Created almost 6 years ago
· Last pushed over 1 year ago
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Readme
License
Citation
README.rst
notnews: predict soft news using story text and the url structure
=================================================================
.. image:: https://github.com/notnews/notnews/workflows/test/badge.svg
:target: https://github.com/notnews/notnews/actions?query=workflow%3Atest
.. image:: https://img.shields.io/pypi/v/notnews.svg
:target: https://pypi.python.org/pypi/notnews
.. image:: https://readthedocs.org/projects/notnews/badge/?version=latest
:target: http://notnews.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://static.pepy.tech/badge/notnews
:target: https://pepy.tech/project/notnews
The package provides classifiers for soft news based on the story text and the url structure for both the US and UK news media. We provide also provide a way to infer the 'kind' of news---Arts, Books, Science, Sports, Travel, etc.---for the US news media.
Streamlit App: https://notnews-notnews-streamlitstreamlit-app-u8j3a6.streamlit.app/
Quick Start
-----------
::
>>> import pandas as pd
>>> from notnews import *
>>> # Get help
>>> help(soft_news_url_cat_us)
Help on method soft_news_url_cat in module notnews.soft_news_url_cat:
soft_news_url_cat(df, col='url') method of builtins.type instance
Soft News Categorize by URL pattern.
Using the URL pattern to categorize the soft/hard news of the input
DataFrame.
Args:
df (:obj:`DataFrame`): Pandas DataFrame containing the URL
column.
col (str or int): Column's name or location of the URL in
DataFrame (default: url).
Returns:
DataFrame: Pandas DataFrame with additional columns:
- `soft_lab` set to 1 if URL match with soft news URL pattern.
- `hard_lab` set to 1 if URL match with hard news URL pattern.
>>> # Load data
>>> df = pd.read_csv('./notnews/tests/sample_us.csv')
>>> df
src url text
0 nyt http://www.nytimes.com/2017/02/11/us/politics/... Mr. Kushner on something of a crash course in ...
1 huffingtonpost http://grvrdr.huffingtonpost.com/302/redirect?... Authorities are still searching for a man susp...
2 nyt http://www.nytimes.com/2016/09/19/us/politics/... Photo WASHINGTON In releasing a far more so...
3 google http://www.foxnews.com/world/2016/07/17/turkey... The Turkish government on Sunday ratcheted up ...
4 nyt http://www.nytimes.com/interactive/2016/08/29/... NYTimes.com no longer supports Internet Explor...
5 yahoo https://www.yahoo.com/news/pittsburgh-symphony... PITTSBURGH AP Pittsburgh Symphony Orchestra ...
6 foxnews http://www.foxnews.com/politics/2016/08/13/cli... Hillary Clintons campaign is questioning a rep...
7 foxnews http://www.foxnews.com/us/2017/04/15/april-gir... April the giraffe has given birth at a New Yor...
8 foxnews http://www.foxnews.com/politics/2017/05/03/hil... Want FOX News Halftime Report in your inbox ev...
9 nyt http://www.nytimes.com/2016/09/06/obituaries/p... Shes an extremely liberated woman Ms. DeCrow s...
>>>
>>> # Get the Soft News URL category
>>> df_soft_news_url_cat_us = soft_news_url_cat_us(df, col='url')
>>> df_soft_news_url_cat_us
src url text soft_lab hard_lab
0 nyt http://www.nytimes.com/2017/02/11/us/politics/... Mr. Kushner on something of a crash course in ... NaN 1.0
1 huffingtonpost http://grvrdr.huffingtonpost.com/302/redirect?... Authorities are still searching for a man susp... NaN NaN
2 nyt http://www.nytimes.com/2016/09/19/us/politics/... Photo WASHINGTON In releasing a far more so... NaN 1.0
3 google http://www.foxnews.com/world/2016/07/17/turkey... The Turkish government on Sunday ratcheted up ... NaN 1.0
4 nyt http://www.nytimes.com/interactive/2016/08/29/... NYTimes.com no longer supports Internet Explor... NaN 1.0
5 yahoo https://www.yahoo.com/news/pittsburgh-symphony... PITTSBURGH AP Pittsburgh Symphony Orchestra ... 1.0 NaN
6 foxnews http://www.foxnews.com/politics/2016/08/13/cli... Hillary Clintons campaign is questioning a rep... NaN 1.0
7 foxnews http://www.foxnews.com/us/2017/04/15/april-gir... April the giraffe has given birth at a New Yor... NaN NaN
8 foxnews http://www.foxnews.com/politics/2017/05/03/hil... Want FOX News Halftime Report in your inbox ev... NaN 1.0
9 nyt http://www.nytimes.com/2016/09/06/obituaries/p... Shes an extremely liberated woman Ms. DeCrow s... NaN NaN
>>>
Installation
------------
Installation is as easy as typing in:
::
pip install notnews
API
---
1. **soft_news_url_cat_us** Uses URL patterns in prominent outlets to classify the type of news. It is based on a slightly amended version of the regular expression used to classify news, and non-news in `Exposure to ideologically diverse news and opinion on Facebook `__ by Bakshy, Messing, and Adamic in Science in 2015. Our only amendment: sport rather than sports. The classifier success is liable to vary over time and across outlets.
- **Arguments:**
- ``df``:
- ``url``: column with the domain names/URLs.
Default is ``url``
- **What it does:**
- converts url to lower case
- regex
::
URL containing any of the following words is classified as soft news:
sport|entertainment|arts|fashion|style|lifestyle|leisure|celeb|movie|music|gossip|food|travel|horoscope|weather|gadget
URL conta ining any of following words is classified as hard news:
politi|usnews|world|national|state|elect|vote|govern|campaign|war|polic|econ|unemploy|racis|energy|abortion|educa|healthcare|immigration
- **Output:**
- Given both the regex can return true, the potential set is: soft, hard, soft and hard, or empty string.
- By default it creates two columns, ```hard_lab``` and ```soft_lab```
- **Examples:**
::
>>> import pandas as pd
>>> from notnews import soft_news_url_cat_us
>>>
>>> df = pd.DataFrame([{'url': 'http://nytimes.com/sports/'}])
>>> df
url
0 http://nytimes.com/sports/
>>>
>>> soft_news_url_cat_us(df)
url soft_lab hard_lab
0 http://nytimes.com/sports/ 1 None
2. **pred_soft_news_us**: We use data from NY Times to train a `model `__. The function
uses the trained model to predict soft news.
- **Arguments:**
- ``df``: pandas dataframe. No default.
- ``text``: column with the story text.
- **Functionality:**
- Normalizes the text and gets the bi-grams and tri-grams
- Outputs calibrated probability of soft news using the trained model
- **Output**
- Appends a column with probability of soft news (``prob_soft_news_us``)
- **Examples:**
::
>>> import pandas as pd
>>> from notnews import pred_soft_news_us
>>>
>>> df = pd.read_csv('notnews/tests/sample_us.csv')
>>> df
src url text
0 nyt http://www.nytimes.com/2017/02/11/us/politics/... Mr. Kushner on something of a crash course in ...
1 huffingtonpost http://grvrdr.huffingtonpost.com/302/redirect?... Authorities are still searching for a man susp...
2 nyt http://www.nytimes.com/2016/09/19/us/politics/... Photo WASHINGTON In releasing a far more so...
3 google http://www.foxnews.com/world/2016/07/17/turkey... The Turkish government on Sunday ratcheted up ...
4 nyt http://www.nytimes.com/interactive/2016/08/29/... NYTimes.com no longer supports Internet Explor...
5 yahoo https://www.yahoo.com/news/pittsburgh-symphony... PITTSBURGH AP Pittsburgh Symphony Orchestra ...
6 foxnews http://www.foxnews.com/politics/2016/08/13/cli... Hillary Clintons campaign is questioning a rep...
7 foxnews http://www.foxnews.com/us/2017/04/15/april-gir... April the giraffe has given birth at a New Yor...
8 foxnews http://www.foxnews.com/politics/2017/05/03/hil... Want FOX News Halftime Report in your inbox ev...
9 nyt http://www.nytimes.com/2016/09/06/obituaries/p... Shes an extremely liberated woman Ms. DeCrow s...
>>>
>>> pred_soft_news_us(df)
Using model data from /opt/notebooks/not_news/notnews_pub/notnews/data/us_model/nyt_us_soft_news_classifier.joblib...
Using vectorizer data from /opt/notebooks/not_news/notnews_pub/notnews/data/us_model/nyt_us_soft_news_vectorizer.joblib...
Loading the model and vectorizer data file...
src url text prob_soft_news_us
0 nyt http://www.nytimes.com/2017/02/11/us/politics/... Mr. Kushner on something of a crash course in ... 0.175099
1 huffingtonpost http://grvrdr.huffingtonpost.com/302/redirect?... Authorities are still searching for a man susp... 0.044617
2 nyt http://www.nytimes.com/2016/09/19/us/politics/... Photo WASHINGTON In releasing a far more so... 0.010398
3 google http://www.foxnews.com/world/2016/07/17/turkey... The Turkish government on Sunday ratcheted up ... 0.011246
4 nyt http://www.nytimes.com/interactive/2016/08/29/... NYTimes.com no longer supports Internet Explor... 0.021861
5 yahoo https://www.yahoo.com/news/pittsburgh-symphony... PITTSBURGH AP Pittsburgh Symphony Orchestra ... 0.372437
6 foxnews http://www.foxnews.com/politics/2016/08/13/cli... Hillary Clintons campaign is questioning a rep... 0.077207
7 foxnews http://www.foxnews.com/us/2017/04/15/april-gir... April the giraffe has given birth at a New Yor... 0.481287
8 foxnews http://www.foxnews.com/politics/2017/05/03/hil... Want FOX News Halftime Report in your inbox ev... 0.004383
9 nyt http://www.nytimes.com/2016/09/06/obituaries/p... Shes an extremely liberated woman Ms. DeCrow s... 0.694037
>>>
3. **pred_what_news_us**: We use a `model `__ trained on the
`annotated NY Times corpus `__ to predict the
type of news---Arts, Books, Business Finance, Classifieds, Dining, Editorial, Foreign News, Health, Leisure,
Local, National, Obits, Other, Real Estate, Science, Sports, Style, and Travel.
- **Arguments:**
- ``df``: pandas dataframe. No default.
- ``text``: column with the story text.
- **Functionality:**
- Normalizes the text and gets the bi-grams and tri-grams
- Outputs calibrated probability of the type of news using the trained model
- **Output**
- Appends a column of predicted catetory (``pred_what_news_us``) and the columns for probability of each category.
(``prob_*``)
- **Examples:**
::
>>> import pandas as pd
>>> from notnews import pred_what_news_us
>>>
>>> df = pd.read_csv('notnews/tests/sample_us.csv')
>>> df
src url text
0 nyt http://www.nytimes.com/2017/02/11/us/politics/... Mr. Kushner on something of a crash course in ...
1 huffingtonpost http://grvrdr.huffingtonpost.com/302/redirect?... Authorities are still searching for a man susp...
2 nyt http://www.nytimes.com/2016/09/19/us/politics/... Photo WASHINGTON In releasing a far more so...
3 google http://www.foxnews.com/world/2016/07/17/turkey... The Turkish government on Sunday ratcheted up ...
4 nyt http://www.nytimes.com/interactive/2016/08/29/... NYTimes.com no longer supports Internet Explor...
5 yahoo https://www.yahoo.com/news/pittsburgh-symphony... PITTSBURGH AP Pittsburgh Symphony Orchestra ...
6 foxnews http://www.foxnews.com/politics/2016/08/13/cli... Hillary Clintons campaign is questioning a rep...
7 foxnews http://www.foxnews.com/us/2017/04/15/april-gir... April the giraffe has given birth at a New Yor...
8 foxnews http://www.foxnews.com/politics/2017/05/03/hil... Want FOX News Halftime Report in your inbox ev...
9 nyt http://www.nytimes.com/2016/09/06/obituaries/p... Shes an extremely liberated woman Ms. DeCrow s...
>>>
>>> pred_what_news_us(df)
Using model data from /opt/notebooks/not_news/notnews_pub/notnews/data/us_model/nyt_us_classifier.joblib...
Using vectorizer data from /opt/notebooks/not_news/notnews_pub/notnews/data/us_model/nyt_us_vectorizer.joblib...
Loading the model and vectorizer data file...
src url text ... prob_sports prob_style prob_travel
0 nyt http://www.nytimes.com/2017/02/11/us/politics/... Mr. Kushner on something of a crash course in ... ... 0.000000 0.037708 0.000000
1 huffingtonpost http://grvrdr.huffingtonpost.com/302/redirect?... Authorities are still searching for a man susp... ... 0.000505 0.000243 0.000416
2 nyt http://www.nytimes.com/2016/09/19/us/politics/... Photo WASHINGTON In releasing a far more so... ... 0.000000 0.051815 0.000000
3 google http://www.foxnews.com/world/2016/07/17/turkey... The Turkish government on Sunday ratcheted up ... ... 0.001302 0.001378 0.000040
4 nyt http://www.nytimes.com/interactive/2016/08/29/... NYTimes.com no longer supports Internet Explor... ... 0.003500 0.010600 0.000973
5 yahoo https://www.yahoo.com/news/pittsburgh-symphony... PITTSBURGH AP Pittsburgh Symphony Orchestra ... ... 0.161347 0.009316 0.000476
6 foxnews http://www.foxnews.com/politics/2016/08/13/cli... Hillary Clintons campaign is questioning a rep... ... 0.006366 0.003844 0.005973
7 foxnews http://www.foxnews.com/us/2017/04/15/april-gir... April the giraffe has given birth at a New Yor... ... 0.000808 0.047357 0.015018
8 foxnews http://www.foxnews.com/politics/2017/05/03/hil... Want FOX News Halftime Report in your inbox ev... ... 0.000626 0.000459 0.000000
9 nyt http://www.nytimes.com/2016/09/06/obituaries/p... Shes an extremely liberated woman Ms. DeCrow s... ... 0.000000 0.019162 0.000000
[10 rows x 22 columns]
>>>
4. **soft_news_url_cat_uk** Uses URL patterns in prominent outlets to classify the type of news. It is based on a slightly amended version of the regular expression used to classify news, and non-news in Exposure to ideologically diverse news and opinion on Facebook by Bakshy, Messing, and Adamic. Science. 2015. Amendment: sport rather than sports. The classifier success is liable to vary over time and across outlets.
- **Arguments:**
- ``df``: pandas dataframe. No default.
- ``url``: column with the domain names/URLs.
Default is ``url``
- **What it does:**
- converts url to lower case
- regex
::
URL containing any of the following words is classified as soft news:
sport|entertainment|arts|fashion|style|lifestyle|leisure|celeb|movie|music|gossip|food|travel|horoscope|weather|gadget
URL containing any of following words is classified as hard news:
politi|usnews|world|national|state|elect|vote|govern|campaign|war|polic|econ|unemploy|racis|energy|abortion|educa|healthcare|immigration
- **Output:**
- Given both the regex can return true, the potential set is: soft, hard, soft and hard, or empty string.
- By default it creates two columns, ```hard_lab``` and ```soft_lab```
- **Examples:**
::
>>> import pandas as pd
>>> from notnews import soft_news_url_cat_uk
>>>
>>> df = pd.DataFrame([{'url': 'https://www.theguardian.com/us/sport'}])
>>> df
url
0 https://www.theguardian.com/us/sport
>>>
>>> soft_news_url_cat_uk(df)
url soft_lab hard_lab
0 https://www.theguardian.com/us/sport 1 None
>>>
5. **pred_soft_news_uk**: We use the `model `__
to predict soft news for UK news media.
- **Arguments:**
- ``df``: pandas dataframe. No default.
- ``text``: column with the story text.
- **Functionality:**
- Normalizes the text and gets the bi-grams and tri-grams
- Outputs calibrated probability of soft news using the trained model
- **Output**
- Appends a column with probability of soft news (``prob_soft_news_uk``)
- **Examples:**
::
>>> import pandas as pd
>>> from notnews import pred_soft_news_uk
>>>
>>> df = pd.read_csv('notnews/tests/sample_uk.csv')
>>> df
src_name url text
0 your local guardian http://www.yourlocalguardian.co.uk/news/local/... friday octob comment say speed bump dug counci...
1 liverpool daily post http://icliverpool.icnetwork.co.uk/0100news/03... man shot dead takeaway four mask gunmen victim...
2 the daily telegraph http://telegraph.feedsportal.com/c/32726/f/534... euromillion jackpot reach imag euromillion tic...
3 liverpool echo http://icliverpool.icnetwork.co.uk/0100news/03... father one three men kill last summer riot sai...
4 the daily telegraph http://telegraph.feedsportal.com/c/32726/f/579... duchess cambridg rush duchess cambridg yet nam...
5 buckingham today http://www.buckinghamtoday.co.uk/latest-scotti... man accus murder nineyearold girl innoc court ...
6 northumberland gazette http://www.northumberlandgazette.co.uk/latest-... singersongwrit ami winehous appeal fine mariju...
7 daily record http://www.dailyrecord.co.uk/entertainment/ent... apr beverley lyon laura sutherland former crea...
8 international business times http://www.ibtimes.com/articles/331256/2012042... deep valu found small medtech jason mill sourc...
9 the daily mail http://www.dailymail.co.uk/news/article-252383... ca nt afford third child foot bill key down st...
>>>
>>> pred_soft_news_uk(df)
Using model data from /opt/notebooks/not_news/notnews/notnews/data/uk_model/url_uk_classifier.joblib...
Using vectorizer data from /opt/notebooks/not_news/notnews/notnews/data/uk_model/url_uk_vectorizer.joblib...
Loading the model and vectorizer data file...
src_name url text prob_soft_news_uk
0 your local guardian http://www.yourlocalguardian.co.uk/news/local/... friday octob comment say speed bump dug counci... 0.152979
1 liverpool daily post http://icliverpool.icnetwork.co.uk/0100news/03... man shot dead takeaway four mask gunmen victim... 0.038663
2 the daily telegraph http://telegraph.feedsportal.com/c/32726/f/534... euromillion jackpot reach imag euromillion tic... 0.944237
3 liverpool echo http://icliverpool.icnetwork.co.uk/0100news/03... father one three men kill last summer riot sai... 0.119689
4 the daily telegraph http://telegraph.feedsportal.com/c/32726/f/579... duchess cambridg rush duchess cambridg yet nam... 0.903285
5 buckingham today http://www.buckinghamtoday.co.uk/latest-scotti... man accus murder nineyearold girl innoc court ... 0.049645
6 northumberland gazette http://www.northumberlandgazette.co.uk/latest-... singersongwrit ami winehous appeal fine mariju... 0.070025
7 daily record http://www.dailyrecord.co.uk/entertainment/ent... apr beverley lyon laura sutherland former crea... 0.926814
8 international business times http://www.ibtimes.com/articles/331256/2012042... deep valu found small medtech jason mill sourc... 0.491505
9 the daily mail http://www.dailymail.co.uk/news/article-252383... ca nt afford third child foot bill key down st... 0.004905
>>>
Command Line
------------
We also implement the scripts to process the input file in the CSV format:
1. **soft_news_url_cat_us**
::
usage: soft_news_url_cat_us [-h] [-o OUTPUT] [-u URL] input
US Soft News Category by URL pattern
positional arguments:
input Input file
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
Output file with category data
-u URL, --url URL Name or index location of column contains the domain
or URL (default: url)
2. **pred_soft_news_us**
::
usage: pred_soft_news_us [-h] [-o OUTPUT] [-t TEXT] input
Predict Soft News by text using NYT Soft News model
positional arguments:
input Input file
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
Output file with prediction data
-t TEXT, --text TEXT Name or index location of column contains the text
(default: text)
3. **pred_what_news_us**
::
usage: pred_what_news_us [-h] [-o OUTPUT] [-t TEXT] input
Predict What News by text using NYT What News model
positional arguments:
input Input file
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
Output file with prediction data
-t TEXT, --text TEXT Name or index location of column contains the text
(default: text)
4. **soft_news_url_cat_uk**
::
usage: soft_news_url_cat_uk [-h] [-o OUTPUT] [-u URL] input
UK Soft News Category by URL pattern
positional arguments:
input Input file
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
Output file with category data
-u URL, --url URL Name or index location of column contains the domain
or URL (default: url)
5. **pred_soft_news_uk**
::
usage: pred_soft_news_uk [-h] [-o OUTPUT] [-t TEXT] input
Predict Soft News by text using UK URL Soft News model
positional arguments:
input Input file
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
Output file with prediction data
-t TEXT, --text TEXT Name or index location of column contains the text
(default: text)
Underlying Data
---------------
* For more information about how to get the underlying data for UK model, see `here `__. For information about the data underlying the US model, see `here `__
Applications
------------
We use the model to estimate the supply of not news in the `US `__ and the `UK `__.
Documentation
-------------
For more information, please see `project documentation `__.
Owner
- Name: Not News
- Login: notnews
- Kind: organization
- Website: http://notnews.github.io
- Repositories: 15
- Profile: https://github.com/notnews
News about news
GitHub Events
Total
- Delete event: 2
- Issue comment event: 1
- Push event: 2
- Pull request event: 3
- Create event: 1
Last Year
- Delete event: 2
- Issue comment event: 1
- Push event: 2
- Pull request event: 3
- Create event: 1
Committers
Last synced: over 3 years ago
All Time
- Total Commits: 33
- Total Committers: 3
- Avg Commits per committer: 11.0
- Development Distribution Score (DDS): 0.394
Top Committers
| Name | Commits | |
|---|---|---|
| ***** | g****7@g****m | 20 |
| Suriyan Laohaprapanon | s****t@g****m | 10 |
| Snyk bot | s****t@s****o | 3 |
Committer Domains (Top 20 + Academic)
snyk.io: 1
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 13
- Average time to close issues: N/A
- Average time to close pull requests: 20 days
- Total issue authors: 0
- Total pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 0.08
- Merged pull requests: 10
- Bot issues: 0
- Bot pull requests: 5
Past Year
- Issues: 0
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 24 days
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.5
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 2
Top Authors
Issue Authors
Pull Request Authors
- dependabot[bot] (6)
- soodoku (4)
- snyk-bot (4)
Top Labels
Issue Labels
Pull Request Labels
dependencies (6)
Packages
- Total packages: 1
-
Total downloads:
- pypi 188 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 3
- Total maintainers: 2
pypi.org: notnews
Predict Soft News
- Homepage: https://github.com/notnews/notnews
- Documentation: https://notnews.readthedocs.io/
- License: MIT
-
Latest release: 0.2.2
published almost 5 years ago
Rankings
Dependent packages count: 10.1%
Forks count: 19.2%
Stargazers count: 19.4%
Dependent repos count: 21.6%
Average: 23.0%
Downloads: 44.9%
Last synced:
12 months ago
Dependencies
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streamlit/requirements.txt
pypi
- Cython >=0.28.5
- joblib *
- nltk *
- notnews *
- numpy ==1.22.0
- pandas >=1.3.0
- scikit-learn ==1.5.0
- setuptools >=65.5.1
- sphinx ==6.1.3
- sphinx-rtd-theme ==1.2.0
- streamlit *
- tqdm *