greenfit-ai (GreenFit AI)

Hi HuggingFace Community🤗, I am thrilled to announce:

𝐪𝐝𝐮𝐫𝐥𝐥𝐦 𝚟𝟷-𝚛𝚌.𝟷 (https://github.com/AstraBert/qdurllm/tree/january-2025)

Qdurllm (𝗤𝗱rant, 𝗨𝗥Ls, 𝗟arge 𝗟anguage 𝗠odels) is a local Gradio (Gradio) application that lets you upload you web content to a local Qdrant (Qdrant) database and search through it or chat with it.

The 𝗻𝗲𝘄 𝗽𝗿𝗲-𝗿𝗲𝗹𝗲𝗮𝘀𝗲 (https://github.com/AstraBert/qdurllm/releases/tag/v1.0.0-rc.0) implements 𝘀𝗽𝗮𝗿𝘀𝗲 𝘀𝗲𝗮𝗿𝗰𝗵 (with prithivida/Splade_PP_en_v1) + 𝗿𝗲𝗿𝗮𝗻𝗸𝗶𝗻𝗴 (with nomic-ai/modernbert-embed-base by Hugging Face + Nomic AI) and 𝘀𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗰𝗮𝗰𝗵𝗶𝗻𝗴 (based on Qdrant) and switched 𝗳𝗿𝗼𝗺 google/gemma-2-2b-it 𝘁𝗼 Qwen/Qwen2.5-1.5B-Instruct to conform to the SOTA landscape and to finally make the application based 𝗼𝗻𝗹𝘆 𝗼𝗻 𝘁𝗿𝘂𝗹𝘆 𝗼𝗽𝗲𝗻 𝗺𝗼𝗱𝗲𝗹𝘀.

The pre-release is 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗳𝗼𝗿 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 and I would be really really happy if you wanted to give it a try and leave your feedback on the discussion thread on GitHub (https://github.com/AstraBert/qdurllm/discussions/8) or here on Hugging Face forum via comments under this post✨.
Find all the information to install and launch it here 👉 https://astrabert.github.io/qdurllm/#2-installation

as-cle-bert

posted an update 16 days ago

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1369

Hi HuggingFace community!🤗

I recently released PrAIvateSearch v2.0-beta.0 (https://github.com/AstraBert/PrAIvateSearch), my privacy-first, AI-powered, user-centered and data-safe application aimed at providing a local and open-source alternative to big AI search engines such as SearchGPT or Perplexity AI.

We have several key changes:

- New chat UI built with NextJS
- DuckDuckGo API used for web search instead of Google
- Qwen/Qwen2.5-1.5B-Instruct as a language model served on API (by FastAPI)
- Crawl4AI crawler used for web scraping
- Optimizations in the data workflow inside the application

Read more in my blog post 👉 https://huggingface.co/blog/as-cle-bert/search-the-web-with-ai

Have fun and feel free to leave feedback about how to improve the application!✨

3 replies

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as-cle-bert

posted an update 22 days ago

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586

Are you using Obsidian to write your notes?
If the answer is yes, then this post might be for you!✅
I recently created 𝐨𝐛𝐬𝐢𝐝𝐢𝐚𝐧-𝐝𝐢𝐠𝐞𝐬𝐭, a Google Gemini-powered application that gives you feedback on style and contents of the documents you have been working on🧠

Repo 👉 https://github.com/AstraBert/obsidian-digest
PyPi Package 👉 https://pypi.org/project/obsidian-digest/

The app is available as:
- 𝐜𝐨𝐦𝐦𝐚𝐧𝐝-𝐥𝐢𝐧𝐞 𝐭𝐨𝐨𝐥: install it as a python package with 𝗽𝗶𝗽, and execute it from terminal anytime!📦
-𝐃𝐢𝐬𝐜𝐨𝐫𝐝 𝐁𝐨𝐭 𝐛𝐮𝐢𝐥𝐭 𝐟𝐫𝐨𝐦 𝐬𝐨𝐮𝐫𝐜𝐞 𝐜𝐨𝐝𝐞: clone the GitHub repo, install the needed dependencies through 𝗰𝗼𝗻𝗱𝗮, and run the bot: you will get hourly messages with suggestions and considerations about your activity on Obsidian in the previous hour🤖
- 𝐃𝐢𝐬𝐜𝐨𝐫𝐝 𝐁𝐨𝐭 𝐝𝐞𝐩𝐥𝐨𝐲𝐞𝐝 𝐥𝐨𝐜𝐚𝐥𝐥𝐲 𝐰𝐢𝐭𝐡 𝐝𝐨𝐜𝐤𝐞𝐫 𝐜𝐨𝐦𝐩𝐨𝐬𝐞: clone the GitHub repo and launch 𝗱𝗼𝗰𝗸𝗲𝗿 𝗰𝗼𝗺𝗽𝗼𝘀𝗲 𝘂𝗽. Docker builds an image on the fly with all the needed dependencies and scripts, and runs them. You'll have the same functionalities as the ones from source code, but with a way easier deployment process🐋

Go check out the GitHub repo for more info 👉 https://github.com/AstraBert/obsidian-digest

Have fun!✨

1 reply

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as-cle-bert

posted an update 24 days ago

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2079

🎉𝐄𝐚𝐫𝐥𝐲 𝐍𝐞𝐰 𝐘𝐞𝐚𝐫 𝐫𝐞𝐥𝐞𝐚𝐬𝐞𝐬🎉

Hi HuggingFacers🤗, I decided to ship early this year, and here's what I came up with:

𝐏𝐝𝐟𝐈𝐭𝐃𝐨𝐰𝐧 (https://github.com/AstraBert/PdfItDown) - If you're like me, and you have all your RAG pipeline optimized for PDFs, but not for other data formats, here is your solution! With PdfItDown, you can convert Word documents, presentations, HTML pages, markdown sheets and (why not?) CSVs and XMLs in PDF format, for seamless integration with your RAG pipelines. Built upon MarkItDown by Microsoft
GitHub Repo 👉 https://github.com/AstraBert/PdfItDown
PyPi Package 👉 https://pypi.org/project/pdfitdown/

𝐒𝐞𝐧𝐓𝐫𝐄𝐯 𝐯𝟏.𝟎.𝟎 (https://github.com/AstraBert/SenTrEv/tree/v1.0.0) - If you need to evaluate the 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 performance of your 𝘁𝗲𝘅𝘁 𝗲𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴 models, I have good news for you🥳🥳
The new release for 𝐒𝐞𝐧𝐓𝐫𝐄𝐯 now supports 𝗱𝗲𝗻𝘀𝗲 and 𝘀𝗽𝗮𝗿𝘀𝗲 retrieval (thanks to FastEmbed by Qdrant) with 𝘁𝗲𝘅𝘁-𝗯𝗮𝘀𝗲𝗱 𝗳𝗶𝗹𝗲 𝗳𝗼𝗿𝗺𝗮𝘁𝘀 (.docx, .pptx, .csv, .html, .xml, .md, .pdf) and new 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲 𝗺𝗲𝘁𝗿𝗶𝗰𝘀!
GitHub repo 👉 https://github.com/AstraBert/SenTrEv
Release Notes 👉 https://github.com/AstraBert/SenTrEv/releases/tag/v1.0.0
PyPi Package 👉 https://pypi.org/project/sentrev/

Happy New Year and have fun!🥂

2 replies

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as-cle-bert

posted an update 27 days ago

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Hi HF Community!🤗

As my last 2024 contribution, I decided to write an article about a Competitive Debate Championship simulation I ran with 5 LLMs as competitors and 2 as judges:

https://huggingface.co/blog/as-cle-bert/debate-championship-for-llms

The article covers code, analyses and results, and you can find everything to reproduce this tournament in the GitHub repo 👉 https://github.com/AstraBert/DebateLLM-Championship

I also released a dataset related to the data (motions, arguments, topics, winners...) collected during the tournament 👉 as-cle-bert/DebateLLMs

Happy reading and happy new yeAIr!🎉

3 replies

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as-cle-bert

posted an update about 1 month ago

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I got my GitHub Wrapped for 2024 today!🥂

Get yours here on HuggingFace 👉 as-cle-bert/what-a-git-year

GitHub repo with the code to reproduce it 👉 https://github.com/AstraBert/what-a-git-year

Hope that everybody had a Git year!🎉

1 reply

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as-cle-bert

posted an update about 1 month ago

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Hi HuggingFacers!🤶🏼

As my last 2024 project, I've dropped a Discord Bot that knows a lot about Pokemons🦋

GitHub 👉 https://github.com/AstraBert/Pokemon-Bot
Demo Space 👉 as-cle-bert/pokemon-bot

The bot integrates:
- Chat features (Cohere's Command-R) with RAG functionalities (hybrid search and reranking with Qdrant) and chat memory (managed through PostgreSQL) to produce information about Pokemons
- Image-based search to identify Pokemons from their images (via Qdrant)
- Card package random extraction and description

HuggingFace🤗, as usual, plays the most important role in the application stack, with the following models:

- sentence-transformers/LaBSE
- prithivida/Splade_PP_en_v1
- facebook/dinov2-large

And datasets:

- Karbo31881/Pokemon_images
- wanghaofan/pokemon-wiki-captions
- TheFusion21/PokemonCards

Have fun!🍕

as-cle-bert

posted an update about 2 months ago

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Hi HF Community!

I just published a blog article on building PrAIvateSearch (https://github.com/AstraBert/PrAIvateSearch), a user-owend, local and open-source AI-powered search engine🔍:

https://huggingface.co/blog/as-cle-bert/build-an-ai-powered-search-engine-from-scratch

"Own your AI, search the web with it🌐😎"

Feel free to try it out and contribute to it on GitHub: let's make OSS AI grown and thrive!🚀

as-cle-bert

posted an update about 2 months ago

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Hi HuggingFacers!🤗
December is here and time has come, for most of us, to wrap up our code projects and take stock of our 2024 contributions🗓️
In order to do this, I made a small Gradio application, what-a-git-year:

as-cle-bert/what-a-git-year

that scrapes information from your GitHub profile and summarizes them, producing also nice plots📊
Find also the GitHub repo here: https://github.com/AstraBert/what-a-git-year ⭐

Hope that everyone had a Git year!🎉

as-cle-bert

posted an update 2 months ago

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Hi there!🤗

I just deployed a Streamlit-based space on HF that fetches your Home Feed on BlueSky and summarizes it with Cohere's CommandR via Langchain🧪

Find it here:
as-cle-bert/bsky-feedllama-demo

I'm also working on a Gradio local implementation with Llama3.2 that for now only works with source code and doesn't have docs, but that will be soon supported by Docker🐳 and have a nice README:

https://github.com/AstraBert/bluesky-feedllama

Contributions and feedback are always welcome!🤗🦋

as-cle-bert

posted an update 2 months ago

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Hi HuggingFacers!🤗
I'm thrilled to introduce my latest project: 𝗦𝗲𝗻𝗧𝗿𝗘𝘃 (𝗦𝗲𝗻tence 𝗧𝗿ansformers 𝗘𝘃aluator), a python package that offers simple customizable evaluation for text retrieval accuracy and time performance of Sentence Transformers-compatible text embedders on PDF data!📊

Learn more in my LinkedIn post: https://www.linkedin.com/posts/astra-clelia-bertelli-583904297_python-embedders-semanticsearch-activity-7266754133557190656-j1e3

And on the GitHub repo: https://github.com/AstraBert/SenTrEv

Have fun!🍕

as-cle-bert

updated 2 Spaces 2 months ago

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Greenfit Ai

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as-cle-bert

posted an update 3 months ago

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1667

Hi HugginfgFacers!🤗

If you're into biomedical sciences, you will know the pain that, sometimes, searching PubMed can be🙇‍♀️

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 Gradio✅

Find it here: as-cle-bert/BioMedicalPapersBot

And here's the GitHub repository🐱: https://github.com/AstraBert/BioMedicalPapersBot

It's also available as a Docker image!🐳

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!

as-cle-bert

posted an update 3 months ago

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Hi there HuggingFacers!🤗

Are you working with Streamlit on Spaces and struggling with authentication and user management?🧐

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!🚀

You can find a demo of it on Spaces: as-cle-bert/streamlit-supabase-auth-ui

Have fun!🍕

as-cle-bert

posted an update 3 months ago

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Hi HuggingFacers!🤗

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!🌱

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