Saravanan666/pypi-org huggingface dataset:
Package: media-manager
Media ManagerVersion: 0.75.3Manage your mediaAutomatically clean file namesSet Title and Comment metadata to match filenameApply subtitles in media's "Sub" directory automaticallyMove media to desired destinationOptionally optimize your media with the latest HEVC codecSupports Media:MKVMP4This repository is actively maintained - Contributions are welcome!Usage:Short FlagLong FlagDescription-h--helpSee usage--subtitleApply Subtitle in local "Sub" directory--optimizeOptimize video for streaming in HEVC--media-directoryMove media to directory--music-directoryMove music to directory--tv-directoryMove series to directory-d--directoryDirectory to scan for media-v--verboseShow Output of FFMPEGExample:media-manager-d"/home/User/Downloads"-m"/media/Movies"-t"/media/TV"-sBefore/home/User/Downloads/The.Lion.King.1993.1080p.[TheBay].YIFY/The.Lion.King.1993.1080p.[TheBay].YIFY.mp4After/media/The Lion King 1993 1080p/The Lion King 1993 1080p.mp4Installation Instructions:Install Python Packagepython-mpipinstallmedia-managerGeniusbot ApplicationUse with a GUI through GeniusbotVisit ourGitHubfor more informationInstallation Instructions with Geniusbot:Install Python Packagepython-mpipinstallgeniusbotRepository Owners:
Package: media-mgmt-cli
Media MGMT CLISummaryA simple CLI to search and manage media asset locally and in S3PyPI projectBased on cookiecutter templatewilliam-cass-wright/click-appRewrite of original projectwilliam-cass-wright/media_mgmt_cliInstalling Media MGMT CLI and Supported Versionsmmgmt is available on PyPI:python-mpipinstallmedia-mgmt-cliMedia MGMT CLI officially supports Python 3.8+.Supported Features & Best–PracticesFor help, run:mmgmt--helpYou can also use:python-mmedia_mgmt_cli--helpCommands:Usage:mmgmt[OPTIONS]COMMAND[ARGS]...AsimpleCLItosearchandmanagemediaassetsinS3andlocally.Setupwith`mmgmtconfigure`Options:--versionShowtheversionandexit.-h,--helpShowthismessageandexit.

Commands:configureprintprojectconfigs&setconfigsmanuallydeletedeletefilefromcloudstorage-TODO-downloaddownloadobjectfromcloudstorageget-statusgetobjectheadfromcloudstoragehellotestendpointlslistfilesinlocation(local,s3,orglobal)searchsearchfilesinlocaldirectoryandcloudstorageuploaduploadfiletocloudstorageDevelopmentTo contribute to this tool, first checkout the code:gitclonehttps://github.com/will-wright-eng/media-mgmt-cli.gitcdmedia-mgmt-cliThen create a new virtual environment:python-mvenvvenvsourcevenv/bin/activateNow install the dependencies and test dependencies:pipinstall-e'.[test]'To run the tests:pytestInstall pre-commit before submitting a PR:brewinstallpre-commit
pre-commitinstall
Package: mediamosa
mediamosa is a python wrapper for accessing a mediamosa
(http://www.mediamosa.org) api.InstallationInstall mediamosa as follows:pip install mediamosaGetting StartedStart by creating a connection to a mediamosa api.>>>frommediamosa.apiimportMediaMosaAPI>>>api=MediaMosaAPI('http://apivideo.ugent.be')>>>api.authenticate('USERNAME','PASSWORD')Truethe .authentication() method returns a boolean indicating if the
username and password were accepted by the server.You can now query your assets>>>api.asset_list()[<mediamosa.resources.AssetGAKkgcmMPaIZdMl3dczqUESA>,<mediamosa.resources.AssetKWdqPljZge6ESLWbPdEEcG0j>,<mediamosa.resources.Assetd1bbGsmEjXmeSfM8PGT5uRjB>,<mediamosa.resources.AssetuKgRwHGTidLLiTiSUQu26buN>,<mediamosa.resources.Assetx2XRGwefXfNvoRNYLJjfWS5O>,<mediamosa.resources.AssetONZDQiGfhTf8OcsKumKISpOy>,<mediamosa.resources.AssetA1lkCZclpXaWSLE9RPK4Pthk>,<mediamosa.resources.AssetA2TmfbWMcMU6r8jWHOS2JEsf>,<mediamosa.resources.AssetB7zsZXLvnnLCCIyJOrCQxxRl>,<mediamosa.resources.AssetC2VNSEfaeMc7ToOeirEqiztz>,...]Each direct child of an <item> can be accessed as an attribute:>>>asset=api.asset_list()[0]>>>asset.dublin_core.get('title')u'big buck bunny 'You can also indiviually request specific assets by querying the api
object:>>>api.asset('ONZDQiGfhTf8OcsKumKISpOy')<mediamosa.resources.AssetONZDQiGfhTf8OcsKumKISpOy>Mediafiles connected to the asset can also be queried:>>>asset.list_mediafiles()[<mediamosa.resources.Mediafile(mp4)Yb8peCXknRXIhimONUUzkuBT>]>>>mediafile=asset.list_mediafiles()[0]>>>mediafile.filenameu'bigbuckbunny30sec.mp4'>>>mediafile.is_downloadableTrueYou can also individually request mediafiles by querying the api
object:>>>api.mediafile('Yb8peCXknRXIhimONUUzkuBT')<mediamosa.resources.Mediafile(mp4)Yb8peCXknRXIhimONUUzkuBT>Playing a mediafile is done as follows:>>>mediafile.play()u'<script type="text/javascript">...'This will by default return javascript code necessary to play the
mediafile.ErrorsIf anything goes wrong with executing the queries, the API will throw
a mediamosa.api.ApiException.Bugs and Feature requestsWarningThe API wrapper is in early stages of development and will require a few
more iterations to be considered stableFor help, issues and feature requests, please go tohttp://www.github.com/UGentPortaal/python-mediamosa.ContributingPull requests may be submitted to the develop branch at our github
project. Make sure the code and functionality are sufficiently
documented.
Package: medianasms
Mediana SMS api SDKThis repository contains open source Python client formediana_smsapi. Documentation can be found at:http://docs.medianasms.com.Installationyou can install this package with either pip:pipinstallmedianasmsor running bellow command after downloading source:pythonsetup.pyinstallExamplesFor using sdk, you have to create a client instance that gives you available methods on APIfrommedianasmsimportClient# you api key that generated from panelapi_key="api-key"# create client instancesms=Client(api_key)...Credit check# return float64 type credit amountcredit=sms.get_credit()Send one to manyFor sending sms, obviously you needoriginatornumber,recipientsandmessage.bulk_id=sms.send("+9810001",# originator["98912xxxxxxx"],# recipients"mediana is awesome"# message)If send is successful, a unique tracking code returned and you can track your message status with that.Get message summerybulk_id="message-tracking-code"message=sms.get_message(bulk_id)print(message.status)# get message statusprint(message.cost)# get message costprint(message.payback)# get message paybackGet message delivery statusesbulk_id="message-tracking-code"statuses,pagination_info=sms.fetch_statuses(bulk_id,0,10)# you can loop in messages statuses listforstatusinstatuses{print("Recipient:%s, Status:%s"%(status.recipient,status.status))}print("Total: ",pagination_info.total)Inbox fetchfetch inbox messagesmessages,pagination_info=sms.fetch_inbox(0,10)formessageinmessages{print("Received message%sfrom number%sin line%s"%(message.message,message.sender,message.number))}Pattern createFor sending messages with predefined pattern(e.g. verification codes, ...), you hav to create a pattern. a pattern at least have a parameter. parameters defined with%param_name%.pattern=sms.create_pattern(r"%name% is awesome",False)print(pattern.code)Send with patternpattern_values={"name":"Mediana",}bulk_id=sms.send_pattern("t2cfmnyo0c",# pattern code"+9810001",# originator"98912xxxxxxx",# recipientpattern_values,# pattern values)Error checkingfrommedianasmsimportHTTPError,Error,ResponseCodetry:bulk_id=sms.send("9810001",["98912xxxxx"],"mediana is awesome")exceptErrorase:# mediana sms errorprint("Error handled => code:%s, message:%s"%(e.code,e.message))ife.code==ResponseCode.ErrUnprocessableEntity.value:forfieldine.message:print("Field:%s, Errors:%s"%(field,e.message[field]))exceptHTTPErrorase:# http error like network error, not found, ...print("Error handled => code:%s"%(e))
Package: mediantracker
Track the median of a stream of values “on-line” in reasonably efficient
fashion.Usage:from mediantracker import MedianTracker
tracker = MedianTracker()
tracker.add(1)
tracker.add(2)
tracker.add(3)
tracker.add(4)
assert tracker.lower_median() == 2
assert tracker.upper_median() == 3MedianTrackersupports efficient median queries on and dynamic
additions to a list of values. It provides both the lower and upper median
of all values seen so far. Any__cmp__()-able object can be tracked,
in addition to numeric types.add()takeslog(n)time for a tracker
withnitems;lower_median()andupper_median()run in constant
time. Since all values must be stored, memory usage is proportional to the
number of values added (O(n)).The values can be accessed via iteration over theMedianTracker,
though they are not ordered in any particular way:sum = 0.0
for val in tracker:
    sum += val
mean = sum / len(tracker)Use this module if you are processing values “on-line,” one at a time, as
they arrive, and need to know the new median after each new value (or
batch of values). If you just want the median of a whole list, there are
much more efficient linear-time median (or more general k-th smallest
selection) algorithms. Using this module will takeO(nlogn)time and an
extraO(n)space to compute the median ofnitems. On the other hand,
aMedianTrackerwill only takeO(nlogn + m)time for any sequence ofnadds andmmedian queries, whereas running a traditional
non-incremental median algorithmmtimes would takeO(n*m).Finally, some sources define the median of an even-length list to be the
average of the middle two values. This is easily and efficiently computed
(in constant time):tracker = MedianTracker([1, 2, 3, 4])
median = (tracker.lower_median() + tracker.upper_median()) / 2.0
assert median == 2.5
Package: media-parser
Media ParserServer for parse Media by URL.Supported mediasYoutubeTiktokInstagramTwitterRedditPinterestInstallation and Configuration ServerUse thedocker-compose.ymlfile to run the server.version:"3.8"service:media-parser:image:ghcr.io/jag-k/media-parser:latestports:-8000:8000environment:# Sentry integration (optional)SENTRY_DSN:"https://abcabc@sentry.io/2"SENTRY_ENVIRONMENT:"dev"# Enable sentry user feedback (optional)SENTRY_ORGANISATION_SLUG:"sentry"SENTRY_PROJECT_SLUG:"media-parser"SENTRY_AUTH_TOKEN:"..."# with scope project:writeSENTRY_API_HOST:"https://api.sentry.io/"# DatabaseMONGO_URL:"mongodb://mongodb:27017"MONGO_DATABASE:"test"volumes:-./config:/configmongodb:image:mongo:latestvolumes:-./data:/data/dbParsers ConfigurationAll configs for parsers stored inconfig/parsers.json. JSON Schema for
this:schemas/parser_schema.json.To enable parser, you need to add config for this parser.
If parser hasn't config, liketiktokset an empty object ({}) to enable it.Example:// config/parsers.json
{
    "$schema": "https://raw.github.com/jag-k/media-parsers/blob/main/schemas/parser_schema.json",
    "instagram": {
        // Optional
        "instagram_saas_token": "asdasd"
    },
    "reddit": {
        "client_id": "",
        "client_secret": "",
        // Optional
        "user_agent": "video downloader (by u/Jag_k)"
    },
    "tiktok": {},
    "twitter": {
        "twitter_bearer_token": "asdasd"
    },
    "youtube": {}
}Or you can use YAML file likeconfig/parsers.yamlorconfig/parsers.yml:# config/parsers.yml$schema:"https://raw.github.com/jag-k/media-parsers/blob/main/schemas/parser_schema.json"instagram:# Optionalinstagram_saas_token:"asdasd"reddit:client_id:""client_secret:""# Optionaluser_agent:"videodownloader(byu/Jag_k)"tiktok:{}twitter:twitter_bearer_token:"asdasd"youtube:{}UsageAPI documentation available on/docsendpoint.ClientsInstallationpoetryaddmedia-parser# or pip install media-parserUsagefrommedia_parserimportClient,FeedbackTypesclient=Client(url="http://localhost:8000")asyncdefmain():# Get all mediamedia=awaitclient.parse("https://www.youtube.com/watch?v=9bZkp7q19f0",user="jag-k")print(media)# If media is incorrect, you can send feedbackawaitclient.send_feedback(media,"jag-k",FeedbackTypes.wrong_media)if__name__=='__main__':importasyncioasyncio.run(main())LicenseMIT
Package: mediapills.console
CAUTION!MediaPills Console package is on "active development".InstallThese instructions will install package. This is a Python package that supports Python 3 on Linux, MacOS and Windows. We recommend using Python 3.6 or higher.Linux and MacOSTo install package run:python3 -m venv mediapills

source mediapills/bin/activate

pip install git+ssh://git@github.com/mediapills/console.git@main#egg=mediapills.consoleWindows (CMD/PowerShell)To install package on Windows (CMD/PowerShell)To install package run:python3 -m venv mediapills

./mediapills/bin/activate

pip install git+ssh://git@github.com/mediapills/console.git@main#egg=mediapills.console
Package: mediapills.core
InstallThese instructions will install package. This is a Python package that supports Python 3 on Linux, MacOS and Windows. We recommend using Python 3.6 or higher.Linux and Mac OSTo install package run:python3 -m venv mediapills

source mediapills/bin/activate

pip install git+ssh://git@github.com/mediapills/core.git@dev#egg=mediapills.coreWindows (CMD/PowerShell)To install package on Windows (CMD/PowerShell)To install package run:python3 -m venv mediapills

./mediapills/bin/activate

pip install git+ssh://git@github.com/mediapills/core.git@dev#egg=mediapills.core
Package: mediapills.http-foundation
InstallThese instructions will install package. This is a Python package that supports Python 3 on Linux, MacOS and Windows. We recommend using Python 3.6 or higher.Linux and MacOSTo install package run:python3 -m venv mediapills

source mediapills/bin/activate

pip install git+ssh://git@github.com/mediapills/http_foundation.git@0.0.1#egg=mediapills.http_foundationWindows (CMD/PowerShell)To install package on Windows (CMD/PowerShell)To install package run:python3 -m venv mediapills

./mediapills/bin/activate

pip install git+ssh://git@github.com/mediapills/http_foundation.git@0.0.1#egg=mediapills.http_foundation
Package: mediapipeface
mediapipefaceThis is a package using mediapipe for face detection and mesh creation.It has two modules:1. facedetectmodule for face detection from video/webcam
2. facemeshmodule for generating module from video/webcamWorks well using mp4 videos.installationRun the following to install:pipinstallmediapipefaceusageimportfacedetectmoduleasfdmfdm.main('sample.mp4')develop$pipinstall-e.[dev]
Package: mediapipe-rpi3
MediaPipe Python Package (Unofficial) for RaspberryPi OS(32 bit) on Raspberry Pi 3 / 4Project Homepage :https://github.com/google/mediapipeInstallationInstall FFmpeg and OpenCV from official repositoryORBuild from sources using thisGuide.sudo apt install ffmpeg python3-opencv python3-pipNote: FFmpeg and OpenCV from official repository have been built with less optimisations. It is recommended to build from sources with the supported optimisations.Install dependency packagessudo apt install libxcb-shm0 libcdio-paranoia-dev libsdl2-2.0-0 libxv1  libtheora0 libva-drm2 libva-x11-2 libvdpau1 libharfbuzz0b libbluray2 libatlas-base-dev libhdf5-103 libgtk-3-0 libdc1394-22 libopenexr23For Raspberry Pi 43. Install packagesudo pip3 install mediapipe-rpi4To Uninstall packagesudo pip3 uninstall mediapipe-rpi4For Raspberry Pi 33. Install packagesudo pip3 install mediapipe-rpi3To Uninstall packagesudo pip3 uninstall mediapipe-rpi3
Package: mediapipe-rpi4
MediaPipe Python Package (Unofficial) for RaspberryPi OS(32 bit) on Raspberry Pi 3 / 4Project Homepage :https://github.com/google/mediapipeInstallation1. Install FFmpeg and OpenCV from official repositoryORBuild from sources using thisGuide.sudo apt install ffmpeg python3-opencv python3-pipNote: FFmpeg and OpenCV from official repository have been built with less optimisations. It is recommended to build from sources with the supported optimisations.2. Install dependency packagessudo apt install libxcb-shm0 libcdio-paranoia-dev libsdl2-2.0-0 libxv1  libtheora0 libva-drm2 libva-x11-2 libvdpau1 libharfbuzz0b libbluray2 libatlas-base-dev libhdf5-103 libgtk-3-0 libdc1394-22 libopenexr23For Raspberry Pi 43. Install packagesudo pip3 install mediapipe-rpi4To Uninstall packagesudo pip3 uninstall mediapipe-rpi4For Raspberry Pi 33. Install packagesudo pip3 install mediapipe-rpi3To Uninstall packagesudo pip3 uninstall mediapipe-rpi3
Package: mediaplanning
Python package for media planningCurrently supports the following:CTR, Clicks, Impressions, CPM, Cost, CPA, Conversions, GRPs, Reach, Frequency, OTS, CPP, BDI, CDI, BOI and Adstock.Change Log0.0.5 (2020/08/30)Fourth Release0.0.4 (2020/08/30)Third Release0.0.3 (2020/08/29)Second Release0.0.2 (2020/08/26)First Release0.0.1 This version was not released for public
Package: media-preprocessor
Overview:
The objective of this package, as the name suggest, is to act as a media pre-processing tool. It simplifies the process of importing media to the python environment.
It takes input from the user in the form of images or video capture and lets the user define certain parameters, pertaining to which the function gives the output. The package primarily consists of two functions:img_pre()nbg_vc()
Functions:img_pre(location, shape, edges)This function takes input from the user in the form of images and performs pre-processing operations on it like reshape, resize (1:1 ratio) and standardize. It also gives the users an option to remove the background from the images and retain only the edges of the subject of the image.Parameters:
•	location (string)
input folder path of where the images are stored•	shape (integer)
input desired shape of image•	edges (boolean)
False: original pictures after pre-processing
True: output images have edges of the subject without the background
2.	nbg_vc(shape)
It allows the user to capture video using their webcam and removes the background by only capturing objects that move in the frame.Parameters:
shape (integer): defines shape of the desired output image.
Package: media-profile-summaries-evaluation
Media Profile Summaries EvaluationAutomated evaluation of media profile summaries. Datasets are expected to include the predicted summary, the input evidence (prompt), and the expected summary.Setuppoetryinstall--withdevUsagepoetryrunpythonscripts/evaluate.pyYou must have access to an instance of bowler hat.Seebowlerhatsection in config andbowlerhat.Clientfor more informationevaluate.pyis configured with hydra (python evaluate.py --helpfor config options)Datasets are loaded from file or hugging face hub viadatasets.load_dataset
Package: mediapy
Read/write/show images and videos in an IPython/Jupyter notebook.[GitHub source][API docs][Colab example]Examples:See the notebookmediapy_examples.ipynbImages:!pipinstall-qmediapyimportmediapyasmediaimportnumpyasnpimage=media.read_image('https://github.com/hhoppe/data/raw/main/image.png')print(image.shape,image.dtype)# It is a numpy array.media.show_image(image)checkerboard=np.kron([[0,1]*16,[1,0]*16]*16,np.ones((4,4)))media.show_image(checkerboard)media.show_image(media.color_ramp((128,128)),height=48,title='ramp')images={'original':image,'brightened':media.to_float01(image)*1.5,}media.show_images(images)media.write_image('/tmp/checkerboard.png',checkerboard)Videos:url='https://github.com/hhoppe/data/raw/main/video.mp4'video=media.read_video(url)print(video.shape,video.dtype)# It is a numpy array.print(video.metadata.fps)# The 'metadata' attribute includes framerate.media.show_video(video)# Play the video using the retrieved framerate.media.show_images(video,height=80,columns=4)# Show frames side-by-side.video=media.moving_circle((128,128),num_images=10)media.show_video(video,fps=10)media.write_video('/tmp/video.mp4',video,fps=60)# Darken a video frame-by-frame:filename_in='/tmp/video.mp4'filename_out='/tmp/out.mp4'withmedia.VideoReader(filename_in)asr:print(f'shape={r.shape}fps={r.fps}bps={r.bps}')darken_image=lambdaimage:media.to_float01(image)*0.5withmedia.VideoWriter(filename_out,shape=r.shape,fps=r.fps,bps=r.bps)asw:forimageinr:w.add_image(darken_image(image))media.show_video(media.read_video(filename_out),fps=60)Setup:Video I/O relies on the external programffmpeg, which must be present in
the system PATH.  On Unix, it can be installed using:aptinstallffmpegor within a notebook using:!command-vffmpeg>/dev/null||(aptupdate&&aptinstall-yffmpeg)
Package: mediaquery
A simple wrapper for mediainfo toolPrerequisitesThis tool needs mediainfo to be installed inorder to work properly.On Ubuntu/Debian:sudo apt install mediainfoOn Mac:brew install mediainfoUsageTo get all available info about a video file. It works with all media types.mediaquery --file="some video.mp4" track --type={General/Audio/Video} --list-keysTo get info about one particular key:mediaquery --file="some video.mp4" track --type={General/Audio/Video} --key=DurationBuild Debpython setup.py --command-packages=stdeb.command bdist_debInstall Debsudo apt install python3-pymongo python3-gridfs python3-pymongo-ext python3-bson
sudo dpkg -i python3-mediaquery_0.1.5-1_all.deb
Package: media-recommender
Media RecommenderProvides recommendation for movies, videos games and booksPrerequisitePython 3.6or above installedPackage managerpipinstalledInstall Media Recommenderpip install media-recommenderRun the back-end serverfrom mediarecommender import MediaRecommender

mr = MediaRecommender()
mr.run()IMPORTANT: Put the above code in a .py file and run it, DO NOT run them directly in Python interactive shellLaunch the web applicationOpen the url prompted after running the server
Package: mediascope-api-lib
Mediascope API LibPython библиотека для работы с Mediascope Delivery API (https://api.mediascope.net)Библиотека позволяет упростить работу пользователей с Mediascope Delivery API (API) при работе с данными Web-Index.
В первую очередь библиотека предназначена для использования совместно с Mediascope Jupyter
ноутбуками (https://github.com/MEDIASCOPE-JSC/mediascope-jupyter).Основные возможностиавторизация, получение и обновление токена доступаформирование заданий с использованием SQL выраженийотправка заданий на расчет и ожидание результатапреобразование результата в pandas DataFrameрасчет дополнителных статистик на базе полученных результатовИспользованиеДля работы с Mediascope API вам потребуются данные для доступа к API:username - имя пользователя для доступа к Mediascope APIpassw - пароль для доступа к Mediascope APIclient_id - идентификатор клиентаclient_secret - ключ для доступа к APIauth_server - адрес сервера аутентификацииroot_url - адрес Mediascope APIДанную информацию вы можете получить у менеджеров Mediascope.КонфигурацияСоздайте файл в корне проекта:settings.jsonсо следующими параметрами:{"username":"you username","passw":"you password","client_id":"client_id","client_secret":"00000000-0000-0000-0000-000000000000","auth_server":"https://auth.mediascope.net/.....","root_url":"https://api.mediascope.net/...."}и укажите актуальную информацию для доступа.ИспользованиеПримеры работы с данными через Mediascope API приведены в проекте:https://github.com/MEDIASCOPE-JSC/mediascope-jupyter
Package: mediascraper
mediascraperScraper!!Example :..fromdiscordimportEmbedfromdiscord.extimportcommandsimportmediascraperhh=mediascraper.HentaiHaven()ph=mediascraper.PornHub()r34=mediascraper.Rule34()gb=mediascraper.Gelbooru()classMedia(commands.Cog):def__init__(self,bot):self.bot=bot@commands.command(aliases=['hh','hentai','hentaihaven'])asyncdefhentai_haven(self,ctx,*args):video=awaithh.category_search(str(" ").join(args))awaitctx.send(video)@commands.command(aliases=['ph','porn','pornhub'])asyncdefporn_hub(self,ctx,*args):video=awaitph.video_search(str(" ").join(args))awaitctx.send(video)@commands.command(alias=['r34','rule34'])asyncdefrule34(self,ctx,*args):image=awaitr34.image_search(str(" ").join(args))awaitctx.send(image)@commands.command(alias=['r34all','rule34all'])asyncdefrule34all(self,ctx,*args):images=awaitr34.image_searchall(str(" ").join(args))forimageinimages:awaitctx.send(image)@commands.command(aliases=['gbooru','gb'])asyncdefgelbooru(self,ctx,*args):image=awaitgb.image_search(str(" ").join(args))awaitctx.send(image)defsetup(bot):bot.add_cog(Media(bot))..
Package: mediasite
=====Articles=====Articles is a simple Django app to list Web-based News. For eacharticle  visitors can post the comments.Quick start-----------1. Add "articles" to your INSTALLED_APPS setting like this::INSTALLED_APPS = ('your apps1','articles',)2. Include the polls URLconf in your project urls.py like this::url(r'^', include('articles.urls')),3. Run `python manage.py migrate` to create the articles models.4. Start the development server and visit http://127.0.0.1:8000/admin/to create a articles, category (you'll need the Admin app enabled).5. Visit http://127.0.0.1:8000/ to see the the article.