diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..f288702 --- /dev/null +++ b/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. By contrast, +the GNU General Public License is intended to guarantee your freedom to +share and change all versions of a program--to make sure it remains free +software for all its users. We, the Free Software Foundation, use the +GNU General Public License for most of our software; it applies also to +any other work released this way by its authors. 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Interpretation of Sections 15 and 16. + + If the disclaimer of warranty and limitation of liability provided +above cannot be given local legal effect according to their terms, +reviewing courts shall apply local law that most closely approximates +an absolute waiver of all civil liability in connection with the +Program, unless a warranty or assumption of liability accompanies a +copy of the Program in return for a fee. + + END OF TERMS AND CONDITIONS + + How to Apply These Terms to Your New Programs + + If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + + To do so, attach the following notices to the program. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/README.md b/README.md index 8a62376..4662535 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,118 @@ -![Codecov](https://codecov.io/gh/senju1337/senju/branch/master/graph/badge.svg) +
+ senju logo +

千手 Senju

+

πŸŽ‹ Poetry in Motion 🎎

+

+ A web service for Haiku generation from text or from images and Haiku + sharing +

+
+ + Code Coverage + + + Tests Status + + + License + + + Release + +
+ + Python Versions + + + Powered by Flask + + + AI PyTorch + +
-# senju -API / Webservice for Phrases/Words/Kanji/Haiku +## 🌊 Overview + +Senju (千手, "thousand hands") is a web service for haiku poetry generation and sharing, with image-to-haiku functionality. + +## ✨ Features + +- **🎏 AI-Powered Haiku Generation**: Create beautiful three-line haiku poetry from text prompts +- **πŸ–ΌοΈ Image-to-Haiku**: Turn uploaded images into poetic haiku (experimental) +- **πŸ” Browse Existing Haiku**: Gallery view of previously generated poetry +- **πŸ’Ύ Persistent Storage**: All generated haiku are stored for future retrieval +- **πŸ–₯️ Web Interface**: Clean, efficient, minimalist user experience for human interaction + +## πŸ”§ Installation + +```bash +# Clone the repository +git clone https://github.com/senju1337/senju.git +cd senju + +docker compose up +``` + +### πŸ“‹ Dependencies + +- Python +- Flask +- TinyDB +- PyTorch +- Transformers +- Pillow + +See `pyproject.toml` for a complete list of dependencies. + +## 🏯 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 + +## πŸ“ 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/ +``` + +## πŸ§ͺ Testing + +```bash +# Run tests +pytest + +# Run tests with coverage +bash coverage.sh +``` + +## πŸ“œ License + +Distributed under the GPL-3 License. See `LICENSE` for more information. + +## πŸ™ 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 +
diff --git a/docs/source/conf.py b/docs/source/conf.py index f7adaa5..f385dc8 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -13,9 +13,9 @@ import sys sys.path.insert(0, os.path.abspath("../../senju")) project = 'senju' -copyright = '2025, senju hashirama' -author = 'senju hashirama' -release = 'before the light' +copyright = '2025, senju project' +author = 'senju project' +# release = '' # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/pyproject.toml b/pyproject.toml index 49b85d7..75ed24a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,6 +21,7 @@ dependencies = [ "transformers (>=4.50.0,<5.0.0)", "waitress (>=3.0.2,<4.0.0)", ] +license = { file = "LICENSE" } [build-system] @@ -28,7 +29,7 @@ requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" [tool.poetry.scripts] -sennen = "senju.main:main" +senju = "senju.main:main" [tool.poetry.group.dev.dependencies] sphinx = "8.1.3" diff --git a/senju/haiku.py b/senju/haiku.py index e9b322a..195ae76 100644 --- a/senju/haiku.py +++ b/senju/haiku.py @@ -16,8 +16,7 @@ Classes ------- Haiku A dataclass representation of a haiku poem, providing structure -for storage, - manipulation and serialization of poem data. + for storage, manipulation and serialization of poem data. **Methods**: @@ -109,8 +108,8 @@ class Haiku: :return: A new Haiku object containing the generated three lines. :rtype: Haiku - :raises: Possible JSONDecodeError which is caught and handled - with retries. + :raises: Exception if took the llm too many tries to write a fitting + haiku or JSONDecodeError if working with JSON failed """ ai_gen_request = { "model": "haiku", diff --git a/senju/image_reco.py b/senju/image_reco.py index 49d2db8..4fdc093 100644 --- a/senju/image_reco.py +++ b/senju/image_reco.py @@ -1,3 +1,43 @@ +""" +Senju Image Recognition Module +============================== + +A module providing image description generation capabilities for the Senju +haiku application. + +This module leverages pre-trained vision-language models (specifically BLIP) +to generate +textual descriptions of uploaded images. These descriptions can then be +used as input +for the haiku generation process, enabling image-to-haiku functionality. + +Classes +------- +ImageDescriptionGenerator + The primary class responsible for loading the vision-language model + and generating descriptions from image data. + +Functions +--------- +gen_response + A helper function that wraps the description generation process + for API integration. + +Dependencies +------------ +* torch: Deep learning framework required for model operations +* PIL.Image: Image processing capabilities +* io: Utilities for working with binary data streams +* transformers: Hugging Face's library providing access to pre-trained models + +Implementation Details +---------------------- +The module initializes a BLIP model (Bootstrapped Language-Image Pre-training) +which can understand visual content and generate natural language descriptions. +The implementation handles image loading, preprocessing, model inference, +and post-processing to return structured description data. +""" + import torch from PIL import Image import io @@ -5,14 +45,30 @@ from transformers import BlipProcessor, BlipForConditionalGeneration class ImageDescriptionGenerator: + """ + A class for generating textual descriptions of images using + a vision-language model. + + This class handles the loading of a pre-trained BLIP model, image + preprocessing, and caption generation. It provides an interface for + converting raw image data into natural language descriptions that can + be used for haiku inspiration. + + :ivar processor: The BLIP processor for handling image inputs + :type processor: BlipProcessor + :ivar model: The BLIP model for conditional text generation + :type model: BlipForConditionalGeneration + :ivar device: The computation device (CUDA or CPU) + :type device: str + """ + def __init__(self, model_name="Salesforce/blip-image-captioning-base"): """ Initialize an image description generator using a vision-language model. - Args: - model_name: The name of the model to use - (default: BLIP captioning model) + :param model_name: The name of the pre-trained model to use + :type model_name: str """ self.device = "cuda" if torch.cuda.is_available() else "cpu" print(f"Using device: {self.device}") @@ -24,13 +80,17 @@ class ImageDescriptionGenerator: """ Generate a descriptive caption for the given image. - Args: - image_data: Raw image data (bytes) - max_length: Maximum length of the generated caption + This method processes the raw image data, runs inference with + the BLIP model, and returns a structured response with the + generated description. - Returns: - dict: A dictionary containing the generated description - and confidence score + :param image_data: Raw binary image data + :type image_data: bytes + :param max_length: Maximum token length for the generated caption + :type max_length: int + :return: Dictionary containing the generated description and + confidence score + :rtype: dict """ # Convert uploaded bytes to image img = Image.open(io.BytesIO(image_data)).convert("RGB") @@ -59,8 +119,22 @@ class ImageDescriptionGenerator: } +# Global instance of the description generator g_descriptor: ImageDescriptionGenerator = ImageDescriptionGenerator() def gen_response(image_data) -> dict: + """ + Generate a description for an image using the global description generator. + + This function provides a simplified interface to the image + description functionality for use in API endpoints. + + :param image_data: Raw binary image data + :type image_data: bytes + :return: Dictionary containing the image description and + confidence information + :rtype: dict + :raises Exception: If image processing or description generation fails + """ return g_descriptor.generate_description(image_data) diff --git a/senju/main.py b/senju/main.py index 44b8a89..28808c3 100644 --- a/senju/main.py +++ b/senju/main.py @@ -168,6 +168,12 @@ def scan_view(): @app.route("/api/v1/image_reco", methods=['POST']) def image_recognition(): + """ + generate a description of an image + + :return: json formatted description + :rtype: json + """ # note that the classifier is a singleton if 'image' not in request.files: return "No image file provided", 400 diff --git a/senju/static/img/kanji.png b/senju/static/img/kanji.png new file mode 100644 index 0000000..345f5a5 Binary files /dev/null and b/senju/static/img/kanji.png differ diff --git a/senju/static/img/senju-nobg.png b/senju/static/img/senju-nobg.png deleted file mode 100644 index 6c88f3c..0000000 Binary files a/senju/static/img/senju-nobg.png and /dev/null differ diff --git a/senju/static/img/senju-nobg.svg b/senju/static/img/senju-nobg.svg deleted file mode 100644 index 2fa3790..0000000 --- a/senju/static/img/senju-nobg.svg +++ /dev/null @@ -1,113 +0,0 @@ - - - - - - - - - - - - - - - 選集 - γ›γ‚“γ˜γ‚…γ† - - diff --git a/senju/static/img/senju.png b/senju/static/img/senju.png deleted file mode 100644 index dff566c..0000000 Binary files a/senju/static/img/senju.png and /dev/null differ diff --git a/senju/static/img/senju.svg b/senju/static/img/senju.svg deleted file mode 100644 index 0afb3b1..0000000 --- a/senju/static/img/senju.svg +++ /dev/null @@ -1,110 +0,0 @@ - - - - - - - - - - - - - - - - - 選集 - γ›γ‚“γ˜γ‚…γ† - - diff --git a/senju/templates/base.html b/senju/templates/base.html index abb421d..505ab17 100644 --- a/senju/templates/base.html +++ b/senju/templates/base.html @@ -21,8 +21,7 @@
- 選集 + 選集