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everything-ai v2.0.1: more AI power on your Desktop
What is everything-ai?
🤖 everything-ai is natively a multi-tasking agent, 100% local, that is able to perform several AI-related tasks
What's new?
🚀 I am more than thrilled to introduce some new functionalities that were added since last release:
- 🎙️🔊 Handle audio files or microphone recordings, classifying or transcribing them with almost every audio-classification and automatic-speech-recognition model on Hugging Face Hub.
- 📽️ Generate video from text prompts with almost every text-to-video model on HuggingFace Hub (original architecture by [Vasiliy Katsyka](https://github.com/Vasiliy-katsyka))
- 🧬 Predict the 3D structure of proteins from their amino-acidic sequence, with EsmFold by AI at Meta ([demo]( as-cle-bert/proteinviz)
- 🏋️ Finetune HF models on several downstream tasks with AutoTrain local integration (AutoTrain is developed by [Abhishek Thakur](https://github.com/abhishekkrthakur))
- 🗣️ Unleash powerful LLMs and exploit larger database collections for RAG with the integration of Hugging Face Spaces API and Supabase PostgreSQL databases ([demo](https://huggingface.co/spaces/as-cle-bert/supabase-ai-chat))
How can you use all of these features?
You just need a
Where can I find everything I need?
Get the source code (and leave a little ⭐ while you're there):
https://github.com/AstraBert/everything-ai
Get a quick-start with the documentation:
https://astrabert.github.io/everything-ai/
Credits and inspiration
Shout-outs to Hugging Face, Gradio, Docker, AI at Meta, Abhishek Thakur, Qdrant, LangChain and Supabase for making all of this possible!
Inspired by: Jan, Cheshire Cat AI, LM Studio, Ollama and other awesome local AI solutions!
What is everything-ai?
🤖 everything-ai is natively a multi-tasking agent, 100% local, that is able to perform several AI-related tasks
What's new?
🚀 I am more than thrilled to introduce some new functionalities that were added since last release:
- 🎙️🔊 Handle audio files or microphone recordings, classifying or transcribing them with almost every audio-classification and automatic-speech-recognition model on Hugging Face Hub.
- 📽️ Generate video from text prompts with almost every text-to-video model on HuggingFace Hub (original architecture by [Vasiliy Katsyka](https://github.com/Vasiliy-katsyka))
- 🧬 Predict the 3D structure of proteins from their amino-acidic sequence, with EsmFold by AI at Meta ([demo]( as-cle-bert/proteinviz)
- 🏋️ Finetune HF models on several downstream tasks with AutoTrain local integration (AutoTrain is developed by [Abhishek Thakur](https://github.com/abhishekkrthakur))
- 🗣️ Unleash powerful LLMs and exploit larger database collections for RAG with the integration of Hugging Face Spaces API and Supabase PostgreSQL databases ([demo](https://huggingface.co/spaces/as-cle-bert/supabase-ai-chat))
How can you use all of these features?
You just need a
docker compose up!🐋Where can I find everything I need?
Get the source code (and leave a little ⭐ while you're there):
https://github.com/AstraBert/everything-ai
Get a quick-start with the documentation:
https://astrabert.github.io/everything-ai/
Credits and inspiration
Shout-outs to Hugging Face, Gradio, Docker, AI at Meta, Abhishek Thakur, Qdrant, LangChain and Supabase for making all of this possible!
Inspired by: Jan, Cheshire Cat AI, LM Studio, Ollama and other awesome local AI solutions!