Revert "template Gradio UI"

This reverts commit ac4ea64743d3d5999c6e6fd8dea64d93da13b905.

.gitignore

@@ -1,181 +0,0 @@
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# UV
-#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#uv.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control.
-#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
-.pdm.toml
-.pdm-python
-.pdm-build/
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
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-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
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-# Ruff stuff:
-.ruff_cache/
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-# PyPI configuration file
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-#  Cursor is an AI-powered code editor.`.cursorignore` specifies files/directories to 
-#  exclude from AI features like autocomplete and code analysis. Recommended for sensitive data
-#  refer to https://docs.cursor.com/context/ignore-files
-.cursorignore
-.cursorindexingignore

LICENSE

@@ -1,21 +0,0 @@
-MIT License
-
-Copyright (c) 2025 Jeremy Live
-
-Permission 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.

README.md

@@ -1,89 +1,14 @@
-# 🧠 HRM Sudoku Solver: Next-Gen AI for Complex Problem Solving
-
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/developerjeremylive/etherOI.com_HRM_Sudoku_1k_T4/blob/main/HRM_Sudoku_1k_T4_ByJeremyLive.ipynb)
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-[![Made with Python](https://img.shields.io/badge/Made%20with-Python-blue.svg)](https://www.python.org/)
-
-## 🌟 Revolutionizing Sudoku with Hybrid Retrieval-Augmented Models
-
-Welcome to the cutting-edge of AI-powered puzzle solving! This project demonstrates a **Hybrid Retrieval-Augmented Model (HRM)** that achieves **100% accuracy** in solving Sudoku puzzles through advanced few-shot learning techniques. Whether you're an AI enthusiast, researcher, or puzzle lover, this project showcases the power of modern machine learning in combinatorial problem-solving.
-
-## 🚀 Key Features
-
-- **100% Accuracy**: Achieves perfect Sudoku solving capabilities
-- **Few-Shot Learning**: Trained with just 1,000 examples
-- **Efficient Training**: Runs in under an hour on T4 GPU
-- **Open Source**: Fully transparent and customizable implementation
-- **Gradio Interface**: User-friendly web interface for easy interaction
-- **Production-Ready**: Clean, well-documented codebase
-
-## 🧩 What Problem Does This Solve?
-
-Traditional AI approaches to Sudoku often rely on brute-force search or handcrafted rules. Our HRM approach demonstrates how **retrieval-augmented generation** can be applied to complex constraint satisfaction problems, with potential applications in:
-
-- Automated reasoning systems
-- Educational technology
-- AI-assisted game design
-- Combinatorial optimization
-- Algorithmic problem-solving
-
-## 🛠 Technical Highlights
-
-- **Hybrid Architecture**: Combines the power of neural networks with symbolic reasoning
-- **Efficient Training**: Achieves state-of-the-art results with minimal data
-- **Modular Design**: Easy to extend to other constraint satisfaction problems
-- **Visual Debugging**: Built-in visualization of the solving process
-
-## 🚀 Get Started in 60 Seconds
-
-1. **Run on Google Colab**: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/developerjeremylive/etherOI.com_HRM_Sudoku_1k_T4/blob/main/HRM_Sudoku_1k_T4_ByJeremyLive.ipynb)
-2. **Or clone locally**:
-   ```bash
-   git clone https://github.com/developerjeremylive/etherOI.com_HRM_Sudoku_1k_T4.git
-   cd etherOI.com_HRM_Sudoku_1k_T4
-   pip install -r requirements.txt
-   jupyter notebook HRM_Sudoku_1k_T4_ByJeremyLive.ipynb
-   ```
-
-## 🎯 Performance Metrics
-
-| Metric          | Score  |
-|-----------------|--------|
-| Accuracy        | 100%   |
-| Training Time   | ~50min |
-| Model Size      | <100MB |
-| GPU Required    | T4/A100|
-
-## 🌐 About the Creator
-
-**Jeremy Live**  
-Generative AI System Integrator & AI/ML Software Consultant  
-AI Engineering Lead | Algorithm & SFTTrainer Specialist
-
-🔗 **Connect with me:**  
-- 💼 [LinkedIn](https://www.linkedin.com/in/jeremy-live/)
-- 🎥 [TikTok](https://www.tiktok.com/@developerjeremylive)
-- 🤖 [Chat with my AI](https://chat.etheroi.com)
-
-## 🤝 Contribute
-
-We welcome contributions! Here's how you can help:
-
-1. **Star** the repository ⭐
-2. Open an **Issue** for bugs or feature requests
-3. Submit a **Pull Request** with your improvements
-4. Share your results on social media and tag `#HRMSudokuSolver`
-
-## 📜 License
-
-This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
-
-## 🔗 Related Projects
-
-Check out my other AI projects:
-- [Chat with my AI Assistant](https://chat.etheroi.com)
-- [More projects on GitHub](https://github.com/developerjeremylive)
-
+---
+title: EtherOI.com HRM Sudoku 1k T4
+emoji: 🐨
+colorFrom: pink
+colorTo: indigo
+sdk: gradio
+sdk_version: 5.44.1
+app_file: app.py
+pinned: false
+license: mit
+short_description: '🧠 HRM Sudoku Solver: Next-Gen AI for Complex Problem Solved'
 ---
 
-✨ **Ready to experience the future of AI-powered puzzle solving?** [Try it now on Colab!](https://colab.research.google.com/github/developerjeremylive/etherOI.com_HRM_Sudoku_1k_T4/blob/main/HRM_Sudoku_1k_T4_ByJeremyLive.ipynb) ✨
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference