GutenKu

🌸 Daily Haiku Card 🗻

Last Snapshot: Fri, 31 May 2024 00:00:01 +0000

👩‍🏫 “This haiku paints a vivid image of a scene laid out before the observer, where 'watery mountains' suggest the undulating waves of the sea or perhaps reflections in a body of water. The phrase 'her destined state' hints at a sense of inevitability or fate, possibly referring to the natural course of life or the future of the landscape itself. The juxtaposition of the serene yet powerful imagery with the concept of destiny evokes a contemplative mood, inviting readers to ponder the interconnectedness of nature and fate.”

🤖✒️ Analysis Written by BotenKu, Your devoted Bot Literature Teacher

Want more? Visit 🔗gutenku.xyz or come back tomorrow 😉

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Description

GutenKu is a creative, literature-inspired project that uses Natural Language Processing (NLP), Markov Chain algorithms, Vue.js, and MongoDB to generate haiku poetry. The project scrapes selected text data from Project Gutenberg, a vast online library of free eBooks. This data is then processed to extract quotes, generate unique haiku, and offer sentiment analysis of the created poems. Furthermore, GutenKu employs OpenAI to improve selection and provide descriptions for each haiku. Ultimately, the application generates images of the haikus.

How it works

GutenKu operates by leveraging Python to scrape textual data from a curated whitelist of eBooks on Project Gutenberg. This gathered data is then processed through a Markov Chain, a probabilistic model that transitions from one state to another based on defined rules. The model is employed to identify and sequence sentences with the highest transition probabilities.

Once sentences are generated, Natural Language Processing (NLP) techniques come into play. These techniques disassemble sentences into words, conduct sentiment analysis, and enforce the traditional 5-7-5 syllable structure of a haiku. The syllable counting is facilitated by the syllable library.

The processed chapters are stored in a MongoDB database, along with the generated haikus, improving the application's performance with a cache system based on TTL principles. GutenKu also incorporates OpenAI api to enhance haiku selection and to generate descriptive narratives for each haiku. In the final stage, the application creates ready-to-post images of the haikus.

The user-facing side of the application is powered by Vue.js 3, providing an interactive interface that not only displays the generated haikus. It also offers an advanced mode for more personalized and unique results.

API Endpoint

GutenKu provides a GraphQL API for interacting with the service. The server is built using Apollo Server, a community-driven, open-source GraphQL server that works with any GraphQL schema.

Ecosystem

Application	Env
Api	TypeScript, GraphQL / Apollo Server, MongoDB, Python, OpenAI 4
Front	TypeScript, GraphQL / Apollo Client, Vue 3 / Vuetify 3 / Pinia, Cypress.io

Acknowledgments

Thanks to the creators and maintainers of Project Gutenberg for providing the texts

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© 2023 heristop / @gutenku.poem. All rights reserved.