[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-80866":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":16,"stars30d":14,"stars90d":15,"forks30d":15,"starsTrendScore":13,"compositeScore":17,"rankGlobal":10,"rankLanguage":10,"license":18,"archived":19,"fork":19,"defaultBranch":20,"hasWiki":19,"hasPages":19,"topics":21,"createdAt":10,"pushedAt":10,"updatedAt":29,"readmeContent":30,"aiSummary":31,"trendingCount":15,"starSnapshotCount":15,"syncStatus":14,"lastSyncTime":32,"discoverSource":33},80866,"tarotui","Tsukeruu\u002Ftarotui","Tsukeruu","A tarot reading experience in the terminal","",null,"Python",37,3,2,0,1,1.81,"MIT License",false,"master",[22,23,24,25,26,27,28],"cli","commandline-interface","ollama","python","tarot","tarot-readings","tui","2026-06-12 02:04:07","# TAROTUI\nA tarot reading experience in the terminal\n\n> [!TIP]\n> TAROTUI in the master branch uses an ollama model with approximately 2-3gb of storage, that model is specifically and originally `ollama3.2`.\u003Cbr>\n> In the foreseeable future (yes i love using this word), options to choose custom models based on user preferences is going to be added to allocate different situations, such as not enough storage, etc. \u003Cbr>\n> Please know that ```qwen3.5:4b``` and ```deepseek-r1``` support is added by switching to the ```qwen3.5``` \u002F ```deepseek-r1``` branch and rebuilding the model through ```ollama create tarotui -f src\u002Futils\u002FOllama_custom\u002FModelfile```\n\n- All currently supported models are listed below\n\n| Model         | Size (in gb)              | Status                            | Pros | Cons                                                                 |\n| :------------ | :-------------------------| :-------------------------------- |:-----------------------------------------|:---------------------------------|\n| DEEPSEEK-R1   | 5gb                       | Available at `deepseek-r1 `branch |Enhanced logic gate and detailed responses| Longer time for a `POST` request |\n| llama3.2      | 2-3 gb                    | Available at `master` branch      |Shorter time for a response, creative and quick| Less logic gate and reasoning and does not **implicitly** follow the Modelfile|\n| qwen3.5:4b    | 3.4 gb                    | Available at `qwen3.5` bramch     |Detailed responses and improved logic gate in comparison to llama3.2| Extremely longer time for a `POST` request and is slower|\n\nFor contributions in regards to model availability please read [Contributing.md](CONTRIBUTING.md)\n\n![Stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FTsukeruu\u002Ftarotui?style=for-the-badge)\n![License](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Flicense\u002FTsukeruu\u002Ftarotui?style=for-the-badge)\n![Last Commit](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Flast-commit\u002FTsukeruu\u002Ftarotui?style=for-the-badge)\n![Repo Size](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Frepo-size\u002FTsukeruu\u002Ftarotui?style=for-the-badge)\n![Issues](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fissues\u002FTsukeruu\u002Ftarotui?style=for-the-badge)\n\n\u003Cimg width=\"1200\" height=\"800\" alt=\"Image\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fe4a310a5-bad0-425d-b20c-63681a1653f7\" \u002F>\n\n- Sorry for the slow post request my internet is bunz :(\n\n  \n- **TAROTUI** is a tarot reading experience in the terminal built with python 🐍, questions are analyzed through ollama and card shuffling is done through the backend\n\n## Installation\n\n> [!CAUTION]\n> For all universal linux distros, no specific distro package manager was used in the creation of this project, and thus requires python installed,\n> This is a mere python program with no varying ux and incompatability of specific packages, making it available to systems with python installed\n\n  \u003Cimg width=\"1893\" height=\"996\" alt=\"Image\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fd5b24e96-e8e9-4764-b868-845048440bdc\" \u002F>\n  \n  ## Using the shell script\n\n  - **To begin your first tarot reading experience run the install script in shell using the following command, please note that this command does not account for git cloning, it assumes you've already git cloned the repository, if you havent git cloned the repository then git clone it now and follow up on the install script**\n\n  - **Please note that for the install, have python alongside pip installed to download the required libraries used to build this project**\n\n  ```bash\n  cd tarotui && chmod +x .\u002Finstall.sh\n  .\u002Finstall.sh\n  ```\n\n  If you havent git cloned then proceed to do so here and run the command above ^^\n  ```bash\n  git clone https:\u002F\u002Fgithub.com\u002FTsukeruu\u002Ftarotui\n  ```\n\n## Manually\n- **For users who value security and do not trust shell scripts online, you may install it manually using the following set of commands**\n- **First and foremost have python and pip installed, this section wont cover the installation for python as it requires covering for most distro package managers**\n\n```bash\ncd tarotui\npip install -r libraries.txt\n````\nThe command above installs all the python libraries required ^\n\nif you have not installed ollama then proceed to do so using the following command\n```bash\ncurl -fsSL https:\u002F\u002Follama.com\u002Finstall.sh | sh\n```\nAfter successfuly installing ollama proceed to build the tarotui model using the following command\n\n```bash\ncd tarotui\nollama create tarotui -f src\u002Futils\u002FOllama_custom\u002FModelfile\n```\n**The command above installs either ollama 3.2 \u002F deepseek \u002F qwen3.5 if not installed, which depends on your current branch, for further information head to the start of the README, disk space \u002F usage may vary from model to model, and builds the custom model using the Modelfile which includes the persona required for the reading**\n\n## Adding to PATH\n- To add tarotui to path, create a shell script of the contents below\n- Lets name this shell script... tarotui (Note you do not need to add a .sh extension due to the presence of the shabang)\n- replace `\u003CINSTALL_DIRECTORY>` with the absolute location of where you downloaded tarotui\n### Fish shell\n```bash\n#!\u002Fusr\u002Fbin\u002Ffish\npython \u003CINSTALL_DIRECTORY>\u002Ftarot.py\n```\n### Bash shell\n```bash\n#!\u002Fusr\u002Fbin\u002Fbash\npython \u003CINSTALL_DIRECTORY>\u002Ftarot.py\n```\n### Zsh shell\n```bash\n#!\u002Fusr\u002Fbin\u002Fzsh\npython \u003CINSTALL_DIRECTORY>\u002Ftarot.py\n```\n\n- After creating the shell script move it to a directory where it is visible in PATH such as ~\u002F.local\u002Fbin, \u002Fusr\u002Fbin or \u002Fusr\u002Flocal\u002Fbin\n- And you should be good to go!\n\n\n## License\n\n[MIT](LICENSE)\n","TAROTUI 是一个在终端中提供塔罗牌解读体验的项目。它使用Python编写，并通过Ollama模型分析用户提出的问题，后台进行牌面洗牌和抽取。项目支持多种模型选择，包括DEEPSEEK-R1、llama3.2以及qwen3.5:4b，各具特点，如响应速度、逻辑处理能力等，以适应不同用户的存储空间需求和偏好。适用于对命令行界面感兴趣的塔罗爱好者或希望在无图形界面环境下获得塔罗牌解读服务的用户。","2026-06-11 04:02:37","CREATED_QUERY"]