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ๅๆ Senju
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๐ Poetry in Motion ๐
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+ A web service for Haiku generation from text or from images and Haiku
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-# senju
-API / Webservice for Phrases/Words/Kanji/Haiku
+## ๐ Overview
+
+Senju (ๅๆ, "thousand hands") is a web service for haiku poetry generation and sharing, with image-to-haiku functionality.
+
+## โจ Features
+
+- **๐ AI-Powered Haiku Generation**: Create beautiful three-line haiku poetry from text prompts
+- **๐ผ๏ธ Image-to-Haiku**: Turn uploaded images into poetic haiku (experimental)
+- **๐ Browse Existing Haiku**: Gallery view of previously generated poetry
+- **๐พ Persistent Storage**: All generated haiku are stored for future retrieval
+- **๐ฅ๏ธ Web Interface**: Clean, efficient, minimalist user experience for human interaction
+
+## ๐ง Installation
+
+```bash
+# Clone the repository
+git clone https://github.com/senju1337/senju.git
+cd senju
+
+docker compose up
+```
+
+### ๐ Dependencies
+
+- Python
+- Flask
+- TinyDB
+- PyTorch
+- Transformers
+- Pillow
+
+See `pyproject.toml` for a complete list of dependencies.
+
+## ๐ฏ Architecture
+
+Senju is built around several key components:
+
+- **Flask Application**: Core web framework providing routing and template rendering
+- **Haiku Generator**: Interfaces with a machine learning model for poetry creation
+- **Image Recognition**: Vision-language model for extracting descriptions from images
+- **Storage Manager**: TinyDB-based persistence layer for haiku retrieval and storage
+
+## ๐ Documentation
+
+Senju is documented with sphinx. The documentation of the latest release is
+available on [github-pages](https://senju1337.github.io/senju/).
+
+It can be generated like this (after installing the dependencies, see above):
+
+```bash
+cd docs
+bash auto_docu.sh
+# now open the documentation with a web browser of your choice
+firefox ./build/html/
+```
+
+## ๐งช Testing
+
+```bash
+# Run tests
+pytest
+
+# Run tests with coverage
+bash coverage.sh
+```
+
+## ๐ License
+
+Distributed under the GPL-3 License. See `LICENSE` for more information.
+
+## ๐ Acknowledgements
+
+- [Ollama](https://ollama.ai/) for providing the AI backend
+- [BLIP](https://github.com/salesforce/BLIP) for the image captioning model
+- [PyTorch](https://pytorch.org/) and [Transformers](https://huggingface.co/docs/transformers/index) for ML infrastructure
+- [Flask](https://flask.palletsprojects.com/) for the web framework
+- [TinyDB](https://tinydb.readthedocs.io/) for the document database
+
+
+
+
+ Purple petals rise
+ Defying fragile beauty
+ Fiercely breathing life
+