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If you're into biomedical sciences, you will know the pain that, sometimes, searching PubMed can be๐โโ๏ธ
For these purposes, I built a bot that scrapes PubMed for you, starting from the exact title of a publication or key word search - all beautifully rendered through Gradioโ
Find it here: as-cle-bert/BioMedicalPapersBot
And here's the GitHub repository๐ฑ: https://github.com/AstraBert/BioMedicalPapersBot
It's also available as a Docker image!๐ณ
docker pull ghcr.io/astrabert/biomedicalpapersbot:main
Best of luck with your research!
PS: in the very near future some AI summarization features will be included!
Are you working with Streamlit on Spaces and struggling with authentication and user management?๐ง
Well, you can check out my last community article (https://huggingface.co/blog/as-cle-bert/streamlit-supabase-auth-ui) on a new python package I've been working on, that connects Supabase to Streamlit UI, in order to create a seamless authentication for your seamless Streamlit apps!๐
You can find a demo of it on Spaces: as-cle-bert/streamlit-supabase-auth-ui
Have fun!๐
As you may have probably heard, in the past weeks three Tech Giants (Microsoft, Amazon and Google) announced that they would bet on nuclear reactors to feed the surging energy demand of data centers, driven by increasing AI data and computational flows.
I try to explain the state of AI energy consumptions, its environmental impact and the key points of "turning AI nuclear" in my last article on HF community blog: https://huggingface.co/blog/as-cle-bert/ai-is-turning-nuclear-a-review
Enjoy the reading!๐ฑ
Have you ever dreamt of an improbable books crossover, like Frodo from ๐๐ฐ๐ณ๐ฅ ๐ฐ๐ง ๐ต๐ฉ๐ฆ ๐๐ช๐ฏ๐จ๐ด becoming the main character of the ๐๐ฅ๐บ๐ด๐ด๐ฆ๐บ or Emma Bovary from ๐๐ข๐ฅ๐ข๐ฎ๐ฆ ๐๐ฐ๐ท๐ข๐ณ๐บ acting as a modern-days Shakespearean Juliet?
Well, all of this is now possible! I'm thrilled to introduce my latest opensource product for storytelling: ๐๐จ๐จ๐ค๐ฌ-๐ฆ๐ข๐ฑ๐๐ซ-๐๐ข ๐ฏ๐.๐.๐ !
Built with ReactJS and shipped directly to you on Spaces thanks to Docker, this webapp combines the power of two AI tools:
- gpt-4o-mini by OpenAI, which takes care of cooking new and intriguing plots starting from the user's instructions, the titles and the summaries of the two books to mix (summaries are scraped through Wikipedia)
- text2img realtime API by ModelsLab, which provides a stable diffusion pipeline to create a thumbnail for your newly-generated story
Everything is provided under a simple and intuitive UI, which uses chatscope's React template kit.
Curious of trying? The app is already live at:
as-cle-bert/books-mixer-ai
And you can also have a tour of the GitHub repo (and leave a little โญ while you're there):
https://github.com/AstraBert/books-mixer-ai
The documentation is still under construction, but will become available soon๐
Have fun!๐๐
In the past days, OpenAI announced their search engine, SearchGPT: today, I'm glad to introduce you SearchPhi, an AI-powered and open-source web search tool that aims to reproduce similar features to SearchGPT, built upon microsoft/Phi-3-mini-4k-instruct, llama.cpp๐ฆ and Streamlit.
Although not as capable as SearchGPT, SearchPhi v0.0-beta.0 is a first step toward a fully functional and multimodal search engine :)
If you want to know more, head over to the GitHub repository (https://github.com/AstraBert/SearchPhi) and, to test it out, use this HF space: as-cle-bert/SearchPhi
Have fun!๐ฑ
Hope y'all are as excited as me for the release of Llama 3.1! ๐ฆ
Following the release, I built a space exploiting HF Inference API, thanks to a recipe you can find in this awesome GitHub repo (https://github.com/huggingface/huggingface-llama-recipes/): you can now run Llama-3.1-405B customizing its system instructions and other parameters, for free! ๐
Follow this link: as-cle-bert/Llama-3.1-405B-FP8 and let the fun begin!๐
Good news concerning as-cle-bert/smolLM-arena, the chat arena where you can compare some of the Small Language Models (<1.7B) on the Hub and cast your vote to choose the best!๐ฑ
The space now has a new interface with chatbots instead of textboxs, it runs faster and it also comes with usage instructions :)
Have fun!๐
The SmolLM series is specifically designed to run on devices like smartphones, yes :) And, concerning the arena for models 7 to 20B, I didn't want to spoiler it, but It's coming soon! ;)
Thanks for pointing that out, now it should work!
As you may know, small language models like the SmolLM series have been on the rise recently: although it may not be completely fair to compare them with larger models, my thought was that we could build a space where these SLMs could compete against each other in a chat arena, and here is what came out: as-cle-bert/smolLM-arena ๐
Even though there might be some little issues and hiccups due to GPU resources allocation, this space offers you the possibility to compare and play around with several Small Language Models, coming also with a leaderboard page (make sure to refresh it for the latest updates!)๐
Have fun!๐
If you're interested in the subject, you can check out my latest community article: https://huggingface.co/blog/as-cle-bert/is-ai-carbon-footprint-worrisome
Where I try to unravel AI's carbon footprint and potential solutions to reduce it๐ป
Enjoy!๐ค
There's a new space out in the wild! as-cle-bert/self-reviewing-coding-assistant ๐ฆ
It's a self-correcting and self-reviewing python coding assistant based on GPT4-o and LangChain, inspired by Codium-AI's AlphaCodium ๐พ
Have fun! ๐
๐ค A vital question that every developer may have asked themselves in the last three years is: how can we improve AI code generation?
๐ In my last Community blog post, I talk about Codium AI's AlphaCodium and how they tried to enhance LLMs coding skills with flow engineering: https://huggingface.co/blog/as-cle-bert/repetita-iuvant-how-to-improve-ai-code-generation
๐ Enjoy!
๐งฌ As you may now, Evolutionary Scale recently released EvolutionaryScale/esm3-sm-open-v1 model here on the Hub, "a frontier generative model for biology, able to jointly reason across three fundamental biological properties of proteins: sequence, structure, and function" - as it is described on the dedicated GitHub page.
โก If you are curious about it and you want to try it out, you can do it with a space I built, as-cle-bert/proteins-with-esm
Hope this helps with your research!๐
๐ฅ If you are Bioinformaticians or Biologists, you may be familiar with BLAST, a search algorithm that allows researchers to identify the group of organisms (species, taxa...) from which DNA/Protein sequences come.
๐ฅฑ You may also be familiar with the difficulties to interpret long and multi-parametric results coming out from BLAST searches: here's where we can operate with LLMs, summarizing the outputs and/or replying to queries about them!
๐งฌ You can now run BLAST for 16S rRNA bacterial sequences here on HF, summarizing and/or asking questions about the results, or make sense of your online BLAST searches uploading description tables, using the last space I built: as-cle-bert/BLAST-SummarAIzer
Have fun and may this be helpful to your research!๐ป
๐งฌ I'm thrilled to announce ๐ฝ๐ช๐ก๐ ๐๐ง๐ค๐ฉ๐๐๐ฃ๐ซ๐๐ฏ, a new functionality which supports multiple structure predictions at once: you just need to upload a FASTA file with all the amino-acidic sequences, and you'll be done in minutes!
๐ This can be really helpful in speeding up your research: give it a shot, if you are curious!๐ค
(Demo in the attached video)
๐ฌ I'm thrilled to introduce you: as-cle-bert/chat-with-em, the Space that lets you build a customizable chat model by specifying system instructions, temperature and maximum number of output tokens
๐ฆ๐ Thanks to LangChain, you can easily choose and switch among Claude models, Command-R, GPT-3.5, GPT-4o, Llama-3-8B, Llama-3-70B and Mixtral 8x7b: you just need to provide an API key!
Enjoy!๐ค
Hi!
I'm glad to hear your opinion: the idea behind this project is to provide help to everyone who seeks solutions to live a more climate-aware life, as well as to give advice to companies or investors who wanna focus on creating a greener future for their business.
I'm totally with you when you say this won't be the solution to the systemic problem of climate change (I will never claim that), but I feel like AI assistants like the one I built can really help us gather and organize knowledge and best practices to live and invest more sustainably, and build a better future for everyone and not just for ourselves as individuals. I really hope I was able to clarify the scopes of my project: let me know if you have any more questions!๐
๐ค ... And that's where AI comes into the play: we can indeed try to leverage, tweak and expand its knowledge in the field to extract valuable climate-aware solutions.
๐ค I tried to make something alike: exploiting climatebert/tcfd_recommendations as knowledge base, Qdrant Cloud as vector store service and microsoft/Phi-3-mini-128k-instruct as LLM (provided via API from eswardivi/Phi-3-mini-128k-instruct by @eswardivi ), I built an AI assistant to help you find climate-oriented solutions for your investments, companies, or simply for your everyday life๐.
Find it here: as-cle-bert/cLLiMateChat
GitHub: https://github.com/AstraBert/qdrant-ai-chat
Website: https://astrabert.github.io/qdrant-ai-chat/
Be kind to our Planet, we only got one๐
(Shout-outs to @JohnSmith9982 whose JohnSmith9982/small_and_pretty Gradio theme was used to build my application๐)
PS: ๐ฑCurious of knowing what is your carbon footprint? Head over to this ML-backed HF Space I built to discover it: as-cle-bert/carbon-footprint-predictor
๐ป If you are curious about the so-called "brainoware", a hardware built upon a brain organoid and used for AI and ML tasks, you may want to read my latest ๐ค article: https://huggingface.co/blog/as-cle-bert/brain-next-generation-neurons
๐กEnjoy!