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