# -*- coding: utf-8 -*-
from setuptools import setup

packages = \
['medpalm', 'medpalm.core']

package_data = \
{'': ['*']}

install_requires = \
['SentencePiece',
 'accelerate',
 'bitsandbytes',
 'datasets',
 'deepspeed',
 'einops',
 'lion-pytorch',
 'matplotlib',
 'numpy',
 'torch',
 'transformers']

setup_kwargs = {
    'name': 'medpalm',
    'version': '0.0.6',
    'description': 'MedPalm - Pytorch',
    'long_description': '# Med-PaLM 🌴🔬\nThe open source implementation of the Multi-Modality model from the research paper "Towards Generalist Biomedical AI"\n\n[![GitHub issues](https://img.shields.io/github/issues/kyegomez/Med-Palm)](https://github.com/kyegomez/Med-Palm/issues) \n[![GitHub forks](https://img.shields.io/github/forks/kyegomez/Med-Palm)](https://github.com/kyegomez/Med-Palm/network) \n[![GitHub stars](https://img.shields.io/github/stars/kyegomez/Med-Palm)](https://github.com/kyegomez/Med-Palm/stargazers) [![GitHub license](https://img.shields.io/github/license/kyegomez/Med-Palm)](https://github.com/kyegomez/Med-Palm/blob/master/LICENSE)\n[![Share on Twitter](https://img.shields.io/twitter/url/https/twitter.com/cloudposse.svg?style=social&label=Share%20%40kyegomez/Med-Palm)](https://twitter.com/intent/tweet?text=Excited%20to%20introduce%20Med-Palm,%20the%20all-new%20robotics%20model%20with%20the%20potential%20to%20revolutionize%20automation.%20Join%20us%20on%20this%20journey%20towards%20a%20smarter%20future.%20%23RT1%20%23Robotics&url=https%3A%2F%2Fgithub.com%2Fkyegomez%2FMed-Palm)\n[![Share on Facebook](https://img.shields.io/badge/Share-%20facebook-blue)](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fgithub.com%2Fkyegomez%2FMed-Palm)\n[![Share on LinkedIn](https://img.shields.io/badge/Share-%20linkedin-blue)](https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fgithub.com%2Fkyegomez%2FMed-Palm&title=Introducing%20Med-Palm%2C%20the%20All-New%20Robotics%20Model&summary=Med-Palm%20is%20the%20next-generation%20robotics%20model%20that%20promises%20to%20transform%20industries%20with%20its%20intelligence%20and%20efficiency.%20Join%20us%20to%20be%20a%20part%20of%20this%20revolutionary%20journey%20%23RT1%20%23Robotics&source=)\n![Discord](https://img.shields.io/discord/999382051935506503)\n[![Share on Reddit](https://img.shields.io/badge/-Share%20on%20Reddit-orange)](https://www.reddit.com/submit?url=https%3A%2F%2Fgithub.com%2Fkyegomez%2FMed-Palm&title=Exciting%20Times%20Ahead%20with%20Med-Palm%2C%20the%20All-New%20Robotics%20Model%20%23RT1%20%23Robotics) [![Share on Hacker News](https://img.shields.io/badge/-Share%20on%20Hacker%20News-orange)](https://news.ycombinator.com/submitlink?u=https%3A%2F%2Fgithub.com%2Fkyegomez%2FMed-Palm&t=Exciting%20Times%20Ahead%20with%20Med-Palm%2C%20the%20All-New%20Robotics%20Model%20%23RT1%20%23Robotics)\n[![Share on Pinterest](https://img.shields.io/badge/-Share%20on%20Pinterest-red)](https://pinterest.com/pin/create/button/?url=https%3A%2F%2Fgithub.com%2Fkyegomez%2FMed-Palm&media=https%3A%2F%2Fexample.com%2Fimage.jpg&description=Med-Palm%2C%20the%20Revolutionary%20Robotics%20Model%20that%20will%20Change%20the%20Way%20We%20Work%20%23RT1%20%23Robotics)\n[![Share on WhatsApp](https://img.shields.io/badge/-Share%20on%20WhatsApp-green)](https://api.whatsapp.com/send?text=I%20just%20discovered%20Med-Palm,%20the%20all-new%20robotics%20model%20that%20promises%20to%20revolutionize%20automation.%20Join%20me%20on%20this%20exciting%20journey%20towards%20a%20smarter%20future.%20%23RT1%20%23Robotics%0A%0Ahttps%3A%2F%2Fgithub.com%2Fkyegomez%2FMed-Palm)\n\n\n![Med palm](image-9.png)\n\n## 🚀 Getting Started\n\n```\npip install MedPalm\n```\n\n## 🧪 How to Use\n\n\n```python\nimport torch\nfrom med_palm import MedPalm\n\n# Kick-start the model\nmodel = MedPalm()\n\n# Let\'s get some tokenized inputs going\ntext_tokens = torch.tensor([[1, 2, 3, 4, 5]])  # Just an example! Use your own data.\nimages = torch.randn(1, 3, 224, 224)  # This too!\n\noutput = model(text_tokens, images)\n\nprint(output)\n```\n📝 Note: Modify the examples to suit your data and project needs.\n\n## 📚 Datasets \n- Wanna deep-dive? [Click here for a dive into dataset strategies](docs/DATASETS.md)\n\n## 🏛️ System Architecture\n\nMed-PaLM is here to be the bridge 🌉 between the vast world of medical data types. From text 📜 to images 🖼️ and even genomic data 🧬, we\'ve got you covered!\n\nOur superstar? A massive multimodal generative model! 🌟 Trained on the swanky MultiMedBench, it\'s geared to tackle diverse tasks like medical Q&A, mammography interpretation, and even genomic variant calling!\n\n## 💼 Commercial Use-Cases\n\nMed-PaLM isn\'t just fun, it\'s super useful! 🛍️\n- **Clinical Diagnostics**: Combining medical imaging, patient tales 📖, and genes, we\'re aiming for top-notch diagnostic solutions.\n  \n- **Healthcare Research**: Dive deep into diverse datasets and discover something new with Med-PaLM by your side! 🤿\n  \n- **Telemedicine**: Quick, reliable, and remote! 🌍 Med-PaLM\'s here to revolutionize telehealth.\n\n# Contributing to Med Palm 🤖🌟\n\nFirst off, big high fives 🙌 and thank you for considering a contribution to Med Palm! Your help and enthusiasm can truly elevate this project. Whether you\'re fixing bugs 🐛, adding features 🎁, or just providing feedback, every bit matters! Here\'s a step-by-step guide to make your contribution journey smooth:\n\n## 1. Set the Stage 🎬\n\n**Fork the Repository:** Before you dive in, create a fork of the Med Palm repository. This gives you your own workspace where you can make changes without affecting the main project.\n\n1. Go to the top right corner of the Med Palm repo.\n2. Click on the "Fork" button. \n\nBoom! You now have a copy on your GitHub account.\n\n## 2. Clone & Set Up 🚀\n\n**Clone Your Fork:** \n```bash\ngit clone https://github.com/kyegomez/Med-PaLM.git\ncd Med-PaLM\n```\n\n**Connect with the Main Repo:** To fetch updates from the main Med Palm repository, set it up as a remote:\n```bash\ngit remote add upstream https://github.com/kyegomez/Med-PaLM.git\n```\n\n## 3. Make Your Magic ✨\n\nCreate a new branch for your feature, bugfix, or whatever you\'re looking to contribute:\n```bash\ngit checkout -b feature/my-awesome-feature\n```\n\nNow, dive into the code and sprinkle your magic!\n\n## 4. Stay Updated 🔄\n\nWhile you\'re working, the main Med Palm repository might have updates. Keep your local copy in sync:\n\n```bash\ngit fetch upstream\ngit merge upstream/main\n```\n\n## 5. Share Your Brilliance 🎁\n\nOnce you\'ve made your changes:\n\n1. **Stage & Commit:**\n   ```bash\n   git add .\n   git commit -m "Add my awesome feature"\n   ```\n\n2. **Push to Your Fork:**\n   ```bash\n   git push origin feature/my-awesome-feature\n   ```\n\n3. **Create a Pull Request:** Head back to your fork on GitHub, and you\'ll see a "New Pull Request" button. Click on it!\n\n## 6. The Review Dance 💃🕺\n\nOnce your PR is submitted, our team will review it. They might have questions or feedback. Stay engaged, discuss, and make any needed changes. Collaboration is key! 🤝\n\n## 7. Celebrate 🎉\n\nAfter review and any necessary tweaks, your contribution will be merged. Pat yourself on the back and celebrate! 🎊\n\n## 8. Spread the Word 📢\n\nShare about your contribution with your network. The more the merrier! Plus, it feels good to show off a bit, right? 😉\n\nRemember, every contribution, no matter how small or large, is valued and appreciated. It\'s the collective effort that makes open-source so vibrant and impactful. Thanks for being a part of the Med Palm adventure! 🌟🚀\n\n----\n\n\n## 📜 License\n\nMed-PaLM\'s chillin\' under the MIT license. Check out the details [here](LICENSE.md).\n\n## 🎉 A Big Thank You!\n\nA thunderous applause 👏 for the amazing clinicians and data wizards who\'ve made Med-PaLM what it is today. We\'re on a mission to reshape healthcare, and every bit of your expertise has been invaluable!\n\nSo, let\'s dive into the world of biomedicine with Med-PaLM! 🎈🥳',
    'author': 'Kye Gomez',
    'author_email': 'kye@apac.ai',
    'maintainer': 'None',
    'maintainer_email': 'None',
    'url': 'https://github.com/kyegomez/med-palm',
    'packages': packages,
    'package_data': package_data,
    'install_requires': install_requires,
    'python_requires': '>=3.6,<4.0',
}


setup(**setup_kwargs)
