Saravanan666/pypi-org huggingface dataset:
Package: dakarabase
Dakara BaseThis project is a collection of tools and helper modules for the Dakara Project.Modules availableconfig: a helper that manages config and loggers;directory: a helper to manage application directories;exceptions: a base class for exceptions and exception handlers;http_client: an HTTP client dedicated to be used with an API;progress_bar: a collection of progress bars;safe_workers: a library to facilitate the manipulation of threads;utils: other various helpers;websocket_client: a Websocket client.InstallInstall the package with:pipinstalldakarabaseIf you have downloaded the repo, you can install the package directly with:pipinstall.DevelopmentPlease read thedevelopers documentation.MIT LicenseCopyright (c) 2022 Dakara ProjectPermission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Package: dakia
Drop dead simple alerts and updates for every project on any platfrom!
This package lets your code send messages to you about its status.
As of now, the best option is using Telegram (other platforms will be added in the future).Drop this into your code:InstallationpipinstalldakiaUsagefromdakiaimportDakiatbot=Dakia(token='secret1',chatId='something2','StockBot')rbot=Dakia(token='secret1',chatId='something2','RenderBot')genbot=Dakia(token='secret3',chatId='something3')# Multiple messengers for seprate tasks / projectsifwin:tbot.dak('-alert brrr')else:tbot.dak('-warning oof')ifrenderComplete:rbot.dak('-alert 3d render is complete)genbot.dak(f"🔥 #new-user-signup{username}")genbot.dak(f"💵 #sale{amount}")genbot.dak(f"🌟 #project-{projectName}deployed successfully")genbot.dak('-warning #project-quotes-crawler : Memory usage > 80%')LicenseMIT LicenseExtended TutorialHow to setup Dakia botThere are two parts to setting up the Dakia bot
1 - The Telegram bot
2 - The python packageMy goals is to keep this tutorial very brief and lean.
For any step that may have tutorials online, I will not explain them here and instead link to YouTube or blogs that do a better job.The Telegram partThis is a one time setup activity. Once sorted, you dont have to bother with it ever again.
You can use the same bot for multiple projects.Here we seek jus two things,Thebot token(messages sent via this bot)Thechat id(messages sent to this user/channel)Steps:Creating the botInstall, then open telegram on your phoneSearch for @BotFather, then type/newbotSelect a name for your bot, in this example we useYourAlertsBotGet the token and keep it asideInitializing the botSearch for the bot, pressStartand message it withhiSelect the 'hi' message and forward it to another bot named @jsondumpbotNow you have two items with you, Thechat idand thebot token.
With this, head over to the Python side.The Python partWe begin with installing package, importing the module and finally send the test message.pip install dakiaInside our code file--from dakia import Dakia
BOT_TOKEN = '<your bot token>'
CHAT_ID = '<your chat id>'
PROJECT = '<your project name>'
pm = Dakia(BOT_TOKEN, CHAT_ID, PROJECT)


pm.dak('-update Its Alive!')That's it. Now for any number of alerts, simply typepm.dak('-someFlag hi mom!')and the message is sent to you.
Package: dakimura-sample
jquants-api-client個人投資家向けデータAPI配信サービス「J-Quants API」のPythonクライアントライブラリです。
J-QuantsやAPI仕様についての詳細を知りたい方は公式ウェブサイトをご参照ください。
現在、J-Quants APIはベータ版サービスとして提供されています。使用方法pip経由でインストールします。pipinstalljquants-api-clientJ-Quants API のリフレッシュトークン取得J-Quants APIを利用するためにはJ-Quants API の Web サイトから取得できる
リフレッシュトークンが必要になります。サンプルコードfromdatetimeimportdatetimefromdateutilimporttzimportjquantsapimy_refresh_token:str="*****"cli=jquantsapi.Client(refresh_token=my_refresh_token)df=cli.get_price_range(start_dt=datetime(2022,7,25,tzinfo=tz.gettz("Asia/Tokyo")),end_dt=datetime(2022,7,26,tzinfo=tz.gettz("Asia/Tokyo")),)print(df)APIレスポンスがDataframeの形式で取得できます。CodeDate...AdjustmentCloseAdjustmentVolume0130102022-07-25...3630.08100.01130502022-07-25...2023.054410.02130602022-07-25...2001.0943830.03130802022-07-25...1977.5121300.04130902022-07-25...43300.0391.0
..................4189999302022-07-26...1426.05600.04190999402022-07-26...2605.07300.04191999502022-07-26...404.013000.04192999602022-07-26...1255.04000.04193999702022-07-26...825.0133600.0[8388rowsx14columns]対応APIラッパー群J-Quants API の各APIエンドポイントに対応しています。get_id_tokenget_listed_infoget_listed_sectionsget_market_segmentsget_prices_daily_quotesget_fins_statementsget_fins_announcementユーティリティ群日付範囲を指定して一括でデータ取得して、取得したデータを結合して返すようなユーティリティが用意されています。get_listget_price_rangeget_statements_range動作確認Python 3.10で動作確認を行っています。
J-Quants APIは現在β版のため、本ライブラリも今後仕様が変更となる可能性があります。開発J-Quants API Clientの開発に是非ご協力ください。
Github上でIssueやPull Requestをお待ちしております。
Package: dakoker
MF-DakokerMFクラウド勤怠利用者向けに作った打刻・勤怠状況確認ツールです。出勤・退勤等の打刻打刻履歴の確認主な機能MFクラウド勤怠へのログイン出勤・退勤の打刻休憩開始・終了の打刻当日の勤怠状況の確認(打刻日時)ブラウザでMFクラウド勤怠ページを直接開くログイン情報キャシュ・キャッシュクリア実装したい機能二重打刻の防止機能指定日の勤怠状況の確認(打刻日時)動作環境Python 3.9poetry 1.0.9インストール方法pip3 install dakokerまた、現在Chrome Driver・Safari Driverに対応しており、以下の設定が必要です。Chrome Driverの場合brew install chromedriver(mac OS Xの場合) でchromedriverをインストールお使いのChromeブラウザとChrome Driverのバージョンが合っていない場合、正しく動作しないケースがあります。バージョンが合ったChrome Driverを使うようにしてください。Safari Driverの場合Safari 10.0以上を使っている場合使用可能ですSafari Driverを利用する場合、"環境設定"から開発メニューを表示させ、「リモートオートメーション」を許可してください。初回利用時ログインのため、以下の情報を入力します。2回目以降は使用OSのパスワード保存領域(e.g. mac OS Xであればキーチェーン上)・その他ローカル領域にキャッシュされたログイン情報を読み込み、自動ログインします。企業IDユーザーID もしくは登録メールアドレスパスワード使い方出勤dakoker start退勤dakoker end休憩開始dakoker start_break休憩終了dakoker end_break当日の勤怠状況の確認dakoker historyブラウザでMFクラウド勤怠ページを直接開くdakoker openログイン情報キャッシュのクリアdakoker clear
Package: daktari
Daktariis a tool to help the initial setup and ongoing maintenance of developer environments. It runs a series of checks (for example, that required software is installed) and provides suggestions on how to fix the issue if the check fails.ConfigurationIn the root of the project repository, create a.daktari.pyconfiguration file listing the checks you want run. For example,fromdaktari.checks.gitimport*version="0.0.183"title="My Project"checks=[GitInstalled(),GitLfsInstalled(),GitLfsSetUpForUser(),GitLfsFilesDownloaded(),GitCryptInstalled(),]Then rundaktarito diagnose your environment:$ daktari
✅ [git.installed] Git is installed
✅ [git.lfs.installed] Git LFS is installed
✅ [git.lfs.setUpForUser] Git LFS is set up for the current user
✅ [git.lfs.filesDownloaded] Git LFS files have been downloaded
❌ [git.crypt.installed] git-crypt is not installed
┌─💡 Suggestion ─────────┐
│ brew install git-crypt │
└────────────────────────┘Custom CheckYou can write a custom check as a Python class within.daktari.py, and include it in your list of checks. Example of a check implementation:classGitCryptInstalled(Check):name="git.crypt.installed"depends_on=[GitInstalled]suggestions={OS.OS_X:"<cmd>brew install git-crypt</cmd>",OS.UBUNTU:"<cmd>sudo apt install git-crypt</cmd>",OS.GENERIC:"Install git-crypt (https://www.agwa.name/projects/git-crypt/)",}defcheck(self):returnself.verify(can_run_command("git crypt version"),"git-crypt is <not/> installed")Testing Daktari changes locallyHaving cloned the repo into~/daktari, you can make use of PYTHONPATH to run daktari using your local changes.To do this, navigate into a directory that has a.daktari.py(e.g. another repository intending to use your change) and run:PYTHONPATH=~/daktaripython3-mdaktari--debugRelease instructionsDaktari is continuously deployed via a github action - seerelease.yaml.
In case of a need to manually release, the steps are:bumpversion --verbose patch
python setup.py sdist bdist_wheel
twine check dist/*
twine upload dist/*
Package: dalaipy
dalaipyA Python Wrapper forDalai!Dalai is a simple, and easy way to run LLaMa and Alpaca locally.Installationpip install dalaipy==2.0.2https://pypi.org/project/dalaipy/2.0.2/InstructionsGo toDalai, and set up your model of choice on your system (either Mac, Windows, or Linux). The readme provides clear explanations!Once you can runnpx dalai serve, run the server and test out your model of choice.Install dalaipy per the instructions above, and make your first request:from dalaipy.src import Dalai

model = Dalai()
# your_model can be one of the following, "alpaca.7B", "alpaca.13B", "llama.7B", "llama.13B", "llama.30B", or "llama.65B", and is dictated by which model you installed
request_dict = model.generate_request("What is the capital of the United States?", your_model)
print(model.request(request_dict))Credits@cocktailpeanut- the owner of Dalai@quadrismegistus- made a notebook with the original idea of using python-socketio to communicate with the web serverDocsDalai Classgenerate_request() -model.generate_request(prompt, model)prompt:(required)the prompt stringmodel:(required)the model that should be used, in the form of a stringalpaca.7Balpaca.13Bllama.7Bllama.13Bllama.30Bllama.65Bid: the request ID (defaut is '0')n_predict: the number of tokens to return (default is 128)repeat_last_n: default is 64repeat_penalty: default is 1.3seed: the seed (default is -1)temp: the temperature of the request (default is 0.5)threads: the number of threads to use (default is 4)top_k: default is 40top_p: default is 0.9request() -model.request(prompt)prompt:(required)the prompt stringprettify: whether or not to clean and output just the string, or the whole request dictionary (default isTrue)
Package: dalec-caldav
📅 dalec-caldavDjango Aggregate a Lot of External Content -- CalDavAggregate last event from a given CalDav instance.Plugin of🤖 dalec.Installationpip install dalec-caldavIn django settingsINSTALLED_APPS, add:INSTALLED_APPS = [
    ...
    "dalec",
    "dalec_prime",
    "dalec_caldav",
    ...
    ]UsageGeneral usage:{%loaddalec%}{%dalec"caldav"content_type[channel=None][channel_object=None][template=None][ordered_by=None]%}EventsRetrieves latest updated events of all calendars accessible for the current user:{%dalec"caldav""event"%}Retrieves latest updated events of a calendar defined by an url:{%dalec"caldav""event"channel="url"channel_object="https://nextcloud.org/remote.php/dav/public-calendars/<calendarID>"%}SettingsDjango settings must define:DALEC_CALDAV_BASE_URL: CalDav instance url (ex:https://caldav.org/)DALEC_CALDAV_API_USERNAME: CalDav username (ex:admin)DALEC_CALDAV_API_PASSWORD: CalDav user password (ex:azeazeaezdfqsmlkrjzr)Some other settings are optionnal:DALEC_CALDAV_SERCH_EVENT_START_TIMEDELTADefault totimedelta(days=-1). When fetching events from calendar, only events that are newer
from this timedelta will be retrieved. It avoid to retrieve a huge amount of past events.DALEC_CALDAV_SERCH_EVENT_END_TIMEDELTADefault totimedelta(days=365). When fetching events from calendar, only events that are older
from this timedelta will be retrieved. It avoid to retrieve a huge amount of past events.TestsThis dalec usesRadicaleas tiny python caldav server wich can runs
inside tox out of the box.
If you want to test with other caldavs servers, you can add alocal_settings.pyfile intests/folder and add a dict conf of extra calendarsDALEC_EXTRA_CALDAV_URLS:DALEC_EXTRA_CALDAV_URLS={"nextclould-v27-public":{"url":"https://nextcloud.example.com/remote.php/dav/public-calendars/saiGzyBYcWct24W8/",},"nextclould-v27-auth":{"url":"https://nextcloud.example.com/remote.php/dav/calendars/username/calendarname/","username":"username","password":"secret",},"my-other-caldav-events":{"url":"https://caldav.example.com/xxx/",},}This will perform simple test to check the proxy seems to work with this type of caldav server:try to fetch eventsassert there is at least 1 event fetched.If your calendar has no event, test will fail.
Package: dalec-discourse
🗣 dalec-discourseDjango Aggregate a Lot of External Content -- DiscourseAggregate last discourse post from a given discourse instance.Plugin of🤖 dalec.InstallationInstall the module:pip install dalec-discourseIn django settingsINSTALLED_APPS, add:INSTALLED_APPS = [
    ...
    "dalec",
    "dalec_prime",
    "dalec_discourse",
    ...
    ]UsageGeneral usage:{%loaddalec%}{%dalec"discourse"content_type[channel=None][channel_object=None][template=None]%}Real examples:TopicsRetrieves latest topics:{%dalec"discourse""topic"%}Retrieves latest topics from a category:{%dalec"discourse""topic"channel="category"channel_object="15"%}CategoriesRetrieves discourse categories:{%dalec"discourse""category"%}User topics and repliesRetrieves user topics and replies:{%dalec"discourse""user_topic_and_reply"channel="user"channel_object="zorro"%}SettingsDjango settings must define:DALEC_DISCOURSE_BASE_URL: discourse instance url (ex:https://discourse.org/)DALEC_DISCOURSE_API_USERNAME: discourse username (ex:admin)DALEC_DISCOURSE_API_TOKEN: discourse api token (ex:azeazeaezdfqsmlkrjzr)It could also define the login/password attribute, and then this auth method will be used
(may be usefull for htaccess access for instance):DISCOURSE_AUTH_USERNAMEDISCOURSE_AUTH_PASSWORD
Package: dalec-gitlab
🦝 dalec-gitlabDjango Aggregate a Lot of External Content -- GitlabAggregate last gitlab issue or event from a given gitlab instance.Plugin of🤖 dalec.Installationpip install dalec_gitlabIn django settingsINSTALLED_APPS, add:INSTALLED_APPS = [
    ...
    "dalec",
    "dalec_prime",
    "dalec_gitlab",
    ...
    ]UsageGeneral usage: in a template{%loaddalec%}{%dalec"gitlab"content_type[channel=None][channel_object=None][channel_objects=None][template=None][ordered_by=None]%}Real examplescontent_type "issue"Availablechannel:group,project.Availablechannel_object: group or project id or public_idAvailablechannel_objects: list of group or project id or public_idRetrieves recent gitlab issues for a project:{%dalec"gitlab""issue"channel="project"channel_object="14"%}Or for multiple projects at once:{%dalec"gitlab""issue"channel="project"channel_objects=["14","42"]%}content_type "event"Availablechannel:group,project,user.Availablechannel_object: group or project id or public_id, or user usernameAvailablechannel_objects: list of group or project id or public_id, or user usernameRetrieves recent gitlab activity for a user:{%dalec"gitlab""event"channel="user"channel_object="doctor-who"%}Retrieves recent gitlab activity for a group:{%dalec"gitlab""event"channel="group"channel_object="42"%}Retrieves recent gitlab activity for a project:{%dalec"gitlab""event"channel="project"channel_object="512"%}content_type "milestone"Availablechannel:group,project.Availablechannel_object: group or project id or public_idAvailablechannel_objects: list of group or project id or public_idMilestone are retrieve by descending updated date.Retrieves gitlab milestone for a project or group:{%dalec"gitlab""milestone"channel="project"channel_object="14"%}{%dalec"gitlab""milestone"channel="group"channel_object="42"%}SettingsDjango settings must define:DALEC_GITLAB_BASE_URL: gitlab instance url (ex:https://gitlab.com/)DALEC_GITLAB_API_TOKEN: gitlab api token (ex:azeazeaezdfqsmlkrjzr)
Package: dalec-nextcloud
☁ dalec-nextcloudDjango Aggregate a Lot of External Content -- NextcloudAggregate last nextcloud files activity from a given nextcloud instance.Plugin of🤖 dalec.Installationpip install dalec_nextcloudIn django settingsINSTALLED_APPS, add:INSTALLED_APPS = [
    ...
    "dalec",
    "dalec_prime",
    "dalec_nextcloud",
    ...
    ]UsageGeneral usage:{%loaddalec%}{%dalec"nextcloud"content_type[channel=None][channel_object=None][template=None]%}Real examples:ActivityRetrieves latest activities.Ifchannelis"files", retrieve only for this file or directory.Ifchannelis"files_and_childs", retrieve recursively from this folder and child.IfchannelisNone, retrieve all activities.channel_objectis the nextcloudfile_id.{%dalec"nexctloud""activity"%}{%dalec"nexctloud""activity"channel="files"channel_object="55145"%}{%dalec"nexctloud""activity"channel="files_and_childs"channel_object="55145"%}SettingsDjango settings must define:DALEC_NEXTCLOUD_BASE_URL: nextcloud instance url (ex:https://nextcloud.org/)DALEC_NEXTCLOUD_API_USERNAME: nextcloud username (ex:admin)DALEC_NEXTCLOUD_API_PASSWORD: nextcloud user password (ex:azeazeaezdfqsmlkrjzr)
Package: dalec-openproject
🔗 dalec-openprojectDjango Aggregate a Lot of External Content -- OpenProjectAggregate last work packages from a given OpenProject instance.Plugin of🤖 dalec.Installationpip install dalec_openprojectIn django settingsINSTALLED_APPS, add:INSTALLED_APPS = [
    ...
    "dalec",
    "dalec_prime",
    "dalec_openproject",
    ...
    ]UsageGeneral usage:{%loaddalec%}{%dalec"openproject"content_type[channel=None][channel_object=None][template=None]%}Real examples:Work packagesRetrieves latest work packages of a project defined by its identifier (i.e. slug):{%dalec"openproject""work_package"channel="project"channel_object="project-identifier"%}SettingsDjango settings must define:DALEC_OPENPROJECT_BASE_URL: OpenProject instance url (ex:https://openproject.org/)DALEC_OPENPROJECT_API_KEY: OpenProject api key (ex:admazerazerazerazerazer)
Package: daleydai
daleydaikarod bata road...CommandsFetch latest stock price and dump it to local file. Run it once a day to get latest data.$daleydaiinitPortfolio CommandsShow my shares$daleydaishowAdd my shares$daleydaiadd<stocksymbol>Remove from my shares$daleydairemove<stock_symbol>Broker CommandsShow bought or sold stocks by particular broker$daleydaibuyer<broker_id>$daleydaiseller<broker_id>
Package: dalia
daliaMythic goddess of fate. Giver and taker of goods and property.This code is under heavy development. Don’t use it.Documentation:https://dalia.readthedocs.io.Free software: Apache License 2.0FeaturesRead CSVV files withdalia.read_csvv().Read regional hierarchy files as a tree withdalia.read_hierarchy().InstallationTo install withpip:pip install daliaHistory0.2.2 (2019-12-25)Patch minor additional issues package version metadata.0.2.1 (2019-12-25)Patch minor issue with deployment and package version metadata.0.2.0 (2019-12-25)Addread_hierarchy()to read regional hierarchy CSV files.0.1.2a2 (2019-10-31)Addread_csvv()anddalia.csvv.Csvvto read and represent CSVV files.Initial documentation.0.0.1a1 (2019-10-10)First release on PyPI.
Package: dalinicus.aiolyric
# AIOLyricPython package for the Honeywell Lyric Platform.## Attributions / Contributions[@bramkragten](https://github.com/bramkragten) for the original implementation. Referenced his [package](https://github.com/bramkragten/python-lyric) quite a bit whilst writing this one.[@ludeeus](https://github.com/ludeeus) for his generator class. Made reading json into objects super simple. :tada:[Everyone else](https://github.com/timmo001/aiolyric/graphs/contributors). Thanks for the help!
Package: dali_renderer
AboutDali(Dalí) - Powerful rendering of your source code.It can render any*source code into an image.Image:httpie source code(Dali v1.0.0-beta1)arguments:window_controls=True,background='#576574'Why Dali?Dali is writen in Python language and has a high speed enough.
Requires no network connection or specific operation system (Microsoft Windows has not been tested:upside_down_face:).Dali usesPygmentsfor syntax highlighter andPillow-SIMDfor rendering.Pygmentsis used inGitHub on Jupyter Notebookpages &GitHub APIpages.You can use it in your project and create a great image of your code.At the momentDaliis actively developed.Examplesfrom filefromdali_rendererimportDaliinstance=Dali("<path to save image>/image.png",window_controls=True,background='#576574')instance.from_file("<path to source code file>")from stringfromdali_rendererimportDaliinstance=Dali("<path to save image>/image.png",window_controls=True,background='#576574')withopen("<path to source code file>",'r')asfile:code=file.read()instance.from_string(code)Installpipinstalldali_renderer
pipuninstallpillowCC="cc -mavx2"pipinstall-U--force-reinstallpillow-simdFeaturesChange styles:Style list (default Pygment styles)Change fonts:HackFiraInconsolataJetBrainsAdding window decorations (as in thescreenshot)Adding additional background (as in thescreenshot)And also use it in your source code as a python module :wink:...Contributingpipinstallhatch
gitclonegit@github.com:foozzi/Dali.git&&cd./DaliTesthatchruntestLinthatchrunlint:typing# mypyFormattinghatchrunlint:fmt# black, ruffBuildhatchclean&&hatchbuild
Package: dallasparser
TX Dallas County Felony and Misdemeanor Courts ParserThis is a Python package for parsing HTML pages retrieved from theTexas Dallas
County Felony and Misdemeanor Courts Case Information. Since
the county website strictly monitors server activity, this package is meant to be used
only after the user has collected HTML files for their use. Put differently, I will
not be sharing any code that can be used to collect these raw HTML files.OutputThedallasparserpackage will generate a maximum of 15.xlsxfiles for each data
table found from the county website:Table NameOutputAppealsappeals.xlsxBondsbonds.xlsxBond COMMENTSbond_comments.xlsxChargescharges.xlsxCompetency Datacompetency_data.xlsxDispositionsdispositions.xlsxGeneral Commentsgeneral_comments.xlsxGeneral Comments WS Dategeneral_comments_ws_date.xlsxJudicial Informationjudicial_information.xlsxMotionsmotions.xlsxNamesnames.xlsxPaymentspayments.xlsxProbation Revocationprobation_revocation.xlsxReduced/Enhanced Chargesreduced_enhanced_charges.xlsxSets and Passessets_and_passes.xlsxInstallationSource$gitclonehttps://github.com/jaycatsby/tx_dallas_court_parser.git
$cdtx_dallas_court_parser
$pythonsetup.pyinstallPyPI$pipinstalldallasparserUsageA. CLI$dallasparser[-h][-iINPUT][-oOUTPUT]optionalarguments:-h,--helpshowthishelpmessageandexit-iINPUT,--inputINPUTabsolutepathofHTMLfolder-oOUTPUT,--outputOUTPUTabsolutepathofXLSXoutputfilesB. Modulefromdallasparser.parserimportTXDallasParserparser=TXDallasParser(html_path,xlsx_path)parser.run()ContributionsHave an idea to make it better? Go ahead! I will be happy to see a pull request from you! :blush:While creating a PR, please update theContributor(s)section below as well.Contributor(s)Jay C.@Squalo Dev LLC
Package: dalle43
DALL-E FOR FREE :heart:HOW TO USEINSTALL DALLE43:pip install -U dalle43GENERATE AN IMAGEimportdalle43.dalle43asDALL_EDALL_E.generate('the milky way')# returns the image path, e.g. 'C:\\Users\\0ut0flin3\\Pictures\\generated_images\\892348097.jpg'You can also use show() to show the image:img=DALL_E.generate('the milky way')# returns the image path, e.g. 'C:\\Users\\0ut0flin3\\Pictures\\generated_images\\892348097.jpg'DALL_E.show(img)Enjoy! :heart: