everything-ai v2.0.1: more AI power on your Desktop
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everything-ai v2.0.1: more AI power on your Desktop
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What is everything-ai?
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What is everything-ai?
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🤖 everything-ai is natively a multi-tasking agent, 100% local, that is able to perform several AI-related tasks
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🤖 everything-ai is natively a multi-tasking agent, 100% local, that is able to perform several AI-related tasks
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 What's new?
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 What's new?
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🚀 I am more than thrilled to introduce some new functionalities that were added since last release:
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🚀 I am more than thrilled to introduce some new functionalities that were added since last release:
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- 🎙️🔊 Handle audio files or microphone recordings, classifying or transcribing them with almost every audio-classification and automatic-speech-recognition model on Hugging Face Hub.
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- 🎙️🔊 Handle audio files or microphone recordings, classifying or transcribing them with almost every audio-classification and automatic-speech-recognition model on Hugging Face Hub.
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- 📽️ Generate video from text prompts with almost every text-to-video model on HuggingFace Hub (original architecture by [Vasiliy Katsyka](
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- 📽️ 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)
https://github.com/Vasiliy-katsyka)
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)
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- 🧬 Predict the 3D structure of proteins from their amino-acidic sequence, with EsmFold by AI at Meta ([demo](
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- 🧬 Predict the 3D structure of proteins from their amino-acidic sequence, with EsmFold by AI at Meta ([demo](
https://huggingface.co/spaces/as-cle-bert/proteinviz)
as-cle-bert/proteinviz
space
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https://huggingface.co/spaces/as-cle-bert/proteinviz)
)
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)
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- 🏋️ Finetune HF models on several downstream tasks with AutoTrain local integration (AutoTrain is developed by [Abhishek Thakur](
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- 🏋️ Finetune HF models on several downstream tasks with AutoTrain local integration (AutoTrain is developed by [Abhishek Thakur](
https://github.com/abhishekkrthakur)
https://github.com/abhishekkrthakur)
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) 
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- 🗣️ Unleash powerful LLMs and exploit larger database collections for RAG with the integration of Hugging Face Spaces API and Supabase PostgreSQL databases ([demo](
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- 🗣️ 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)
https://huggingface.co/spaces/as-cle-bert/supabase-ai-chat)
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)
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How can you use all of these features? 
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How can you use all of these features? 
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You just need a 
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You just need a 
docker compose up
`docker compose up`
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!🐋
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!🐋
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Where can I find everything I need?
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Where can I find everything I need?
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Get the source code (and leave a little ⭐ while you're there):
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Get the source code (and leave a little ⭐ while you're there):
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https://github.com/AstraBert/everything-ai
https://github.com/AstraBert/everything-ai
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Get a quick-start with the documentation:
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Get a quick-start with the documentation:
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https://astrabert.github.io/everything-ai/
https://astrabert.github.io/everything-ai/
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Credits and inspiration
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Credits and inspiration
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Shout-outs to Hugging Face, Gradio, Docker, AI at Meta, Abhishek Thakur, Qdrant, LangChain and Supabase for making all of this possible!
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Shout-outs to Hugging Face, Gradio, Docker, AI at Meta, Abhishek Thakur, Qdrant, LangChain and Supabase for making all of this possible!
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Inspired by: Jan, Cheshire Cat AI, LM Studio, Ollama and other awesome local AI solutions!
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Inspired by: Jan, Cheshire Cat AI, LM Studio, Ollama and other awesome local AI solutions!
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](https://huggingface.co/spaces/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!
🔥
Ramikan-BR lunarflu Joseph717171 Tonic KingNish Abhinay45
🚀
GPT007 anibalardidhf
👍
Norod78