diff --git a/README.md b/README.md
index a82cd2d..310c690 100644
--- a/README.md
+++ b/README.md
@@ -1,124 +1,8 @@
-
-
- 
- LocalAI
-
-
+# LOCAL AI
-[](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml) [](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)
+## USAGE
-[](https://discord.gg/uJAeKSAGDy)
-
-[Documentation website](https://localai.io/)
-
-**LocalAI** is a drop-in replacement REST API that's compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families that are compatible with the ggml format. Does not require GPU.
-
-For a list of the supported model families, please see [the model compatibility table](https://localai.io/model-compatibility/index.html#model-compatibility-table).
-
-In a nutshell:
-
-- Local, OpenAI drop-in alternative REST API. You own your data.
-- NO GPU required. NO Internet access is required either
- - Optional, GPU Acceleration is available in `llama.cpp`-compatible LLMs. See also the [build section](https://localai.io/basics/build/index.html).
-- Supports multiple models:
- - π Text generation with GPTs (`llama.cpp`, `gpt4all.cpp`, ... and more)
- - π£ Text to Audio πΊπ
- - π Audio to Text (Audio transcription with `whisper.cpp`)
- - π¨ Image generation with stable diffusion
-- π Once loaded the first time, it keep models loaded in memory for faster inference
-- β‘ Doesn't shell-out, but uses C++ bindings for a faster inference and better performance.
-
-LocalAI was created by [Ettore Di Giacinto](https://github.com/mudler/) and is a community-driven project, focused on making the AI accessible to anyone. Any contribution, feedback and PR is welcome!
-
-See the [Getting started](https://localai.io/basics/getting_started/index.html) and [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/) sections to learn how to use LocalAI. For a list of curated models check out the [model gallery](https://localai.io/models/).
-
-
-| [ChatGPT OSS alternative](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui) | [Image generation](https://localai.io/api-endpoints/index.html#image-generation) |
-|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
-|  |  |
-
-| [Telegram bot](https://github.com/go-skynet/LocalAI/tree/master/examples/telegram-bot) | [Flowise](https://github.com/go-skynet/LocalAI/tree/master/examples/flowise) |
-|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
- | | |
-
-## Hot topics / Roadmap
-
-- [x] Support for embeddings
-- [x] Support for audio transcription with https://github.com/ggerganov/whisper.cpp
-- [X] Support for text-to-audio
-- [x] GPU/CUDA support ( https://github.com/go-skynet/LocalAI/issues/69 )
-- [X] Enable automatic downloading of models from a curated gallery
-- [X] Enable automatic downloading of models from HuggingFace
-- [ ] Upstream our golang bindings to llama.cpp (https://github.com/ggerganov/llama.cpp/issues/351)
-- [ ] Enable gallery management directly from the webui.
-- [ ] π₯ OpenAI functions: https://github.com/go-skynet/LocalAI/issues/588
-
-## News
-
-- π₯π₯π₯ 28-06-2023: **v1.20.0**: Added text to audio and gallery huggingface repositories! [Release notes](https://localai.io/basics/news/index.html#-28-06-2023-__v1200__-) [Changelog](https://github.com/go-skynet/LocalAI/releases/tag/v1.20.0)
-- π₯π₯π₯ 19-06-2023: **v1.19.0**: CUDA support! [Release notes](https://localai.io/basics/news/index.html#-19-06-2023-__v1190__-) [Changelog](https://github.com/go-skynet/LocalAI/releases/tag/v1.19.0)
-- π₯π₯π₯ 06-06-2023: **v1.18.0**: Many updates, new features, and much more π, check out the [Release notes](https://localai.io/basics/news/index.html#-06-06-2023-__v1180__-)!
-- 29-05-2023: LocalAI now has a website, [https://localai.io](https://localai.io)! check the news in the [dedicated section](https://localai.io/basics/news/index.html)!
-
-For latest news, follow also on Twitter [@LocalAI_API](https://twitter.com/LocalAI_API) and [@mudler_it](https://twitter.com/mudler_it)
-
-## Media, Blogs, Social
-
-- [Create a slackbot for teams and OSS projects that answer to documentation](https://mudler.pm/posts/smart-slackbot-for-teams/)
-- [LocalAI meets k8sgpt](https://www.youtube.com/watch?v=PKrDNuJ_dfE)
-- [Question Answering on Documents locally with LangChain, LocalAI, Chroma, and GPT4All](https://mudler.pm/posts/localai-question-answering/)
-- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65)
-
-## Contribute and help
-
-To help the project you can:
-
-- [Hacker news post](https://news.ycombinator.com/item?id=35726934) - help us out by voting if you like this project.
-
-- If you have technological skills and want to contribute to development, have a look at the open issues. If you are new you can have a look at the [good-first-issue](https://github.com/go-skynet/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) and [help-wanted](https://github.com/go-skynet/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22) labels.
-
-- If you don't have technological skills you can still help improving documentation or add examples or share your user-stories with our community, any help and contribution is welcome!
-
-## Usage
-
-Check out the [Getting started](https://localai.io/basics/getting_started/index.html) section. Here below you will find generic, quick instructions to get ready and use LocalAI.
-
-The easiest way to run LocalAI is by using `docker-compose` (to build locally, see [building LocalAI](https://localai.io/basics/build/index.html)):
-
-```bash
-
-git clone https://github.com/go-skynet/LocalAI
-
-cd LocalAI
-
-# (optional) Checkout a specific LocalAI tag
-# git checkout -b build
-
-# copy your models to models/
-cp your-model.bin models/
-
-# (optional) Edit the .env file to set things like context size and threads
-# vim .env
-
-# start with docker-compose
-docker-compose up -d --pull always
-# or you can build the images with:
-# docker-compose up -d --build
-
-# Now API is accessible at localhost:8080
-curl http://localhost:8080/v1/models
-# {"object":"list","data":[{"id":"your-model.bin","object":"model"}]}
-
-curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
- "model": "your-model.bin",
- "prompt": "A long time ago in a galaxy far, far away",
- "temperature": 0.7
- }'
-```
-
-### Example: Use GPT4ALL-J model
-
-
+- Installation et dΓ©marrage:
```bash
# Clone LocalAI
@@ -139,9 +23,9 @@ cp -rf prompt-templates/ggml-gpt4all-j.tmpl models/
# vim .env
# start with docker-compose
-docker-compose up -d --pull always
+# docker-compose up -d --pull always
# or you can build the images with:
-# docker-compose up -d --build
+docker-compose up -d --build
# Now API is accessible at localhost:8080
curl http://localhost:8080/v1/models
# {"object":"list","data":[{"id":"ggml-gpt4all-j","object":"model"}]}
@@ -154,95 +38,23 @@ curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/jso
# {"model":"ggml-gpt4all-j","choices":[{"message":{"role":"assistant","content":"I'm doing well, thanks. How about you?"}}]}
```
-
-
-### Build locally
+- Python implementation:
-
+```python
+import openai
-In order to build the `LocalAI` container image locally you can use `docker`:
+openai.api_base = "http://localhost:8080/v1"
-```
-# build the image
-docker build -t localai .
-docker run localai
-```
-
-Or you can build the binary with `make`:
+# create a chat completion
+chat_completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello world"}])
+# print the completion
+print(completion.choices[0].message.content)
```
-make build
-```
-
-
-
-See the [build section](https://localai.io/basics/build/index.html) in our documentation for detailed instructions.
-
-### Run LocalAI in Kubernetes
-
-LocalAI can be installed inside Kubernetes with helm. See [installation instructions](https://localai.io/basics/getting_started/index.html#run-localai-in-kubernetes).
-
-## Supported API endpoints
-
-See the [list of the LocalAI features](https://localai.io/features/index.html) for a full tour of the available API endpoints.
-
-## Frequently asked questions
-
-See [the FAQ](https://localai.io/faq/index.html) section for a list of common questions.
-
-## Projects already using LocalAI to run local models
-
-Feel free to open up a PR to get your project listed!
-
-- [Kairos](https://github.com/kairos-io/kairos)
-- [k8sgpt](https://github.com/k8sgpt-ai/k8sgpt#running-local-models)
-- [Spark](https://github.com/cedriking/spark)
-- [autogpt4all](https://github.com/aorumbayev/autogpt4all)
-- [Mods](https://github.com/charmbracelet/mods)
-- [Flowise](https://github.com/FlowiseAI/Flowise)
-
-## Sponsors
-
-> Do you find LocalAI useful?
-
-Support the project by becoming [a backer or sponsor](https://github.com/sponsors/mudler). Your logo will show up here with a link to your website.
-
-A huge thank you to our generous sponsors who support this project:
-
-|  |
-|:-----------------------------------------------:|
-| [Spectro Cloud](https://www.spectrocloud.com/) |
-| Spectro Cloud kindly supports LocalAI by providing GPU and computing resources to run tests on lamdalabs! |
-
-## Star history
-
-[](https://star-history.com/#go-skynet/LocalAI&Date)
-
-## License
-
-LocalAI is a community-driven project created by [Ettore Di Giacinto](https://github.com/mudler/).
-
-MIT
-
-## Author
-
-Ettore Di Giacinto and others
-
-## Acknowledgements
-
-LocalAI couldn't have been built without the help of great software already available from the community. Thank you!
-
-- [llama.cpp](https://github.com/ggerganov/llama.cpp)
-- https://github.com/tatsu-lab/stanford_alpaca
-- https://github.com/cornelk/llama-go for the initial ideas
-- https://github.com/antimatter15/alpaca.cpp
-- https://github.com/EdVince/Stable-Diffusion-NCNN
-- https://github.com/ggerganov/whisper.cpp
-- https://github.com/saharNooby/rwkv.cpp
-## Contributors
+## TO DO
-
- 
-
+- [ ] Flask app frontend
+- [ ] Keycloak auth
+- [ ] speech to text avec openVINO
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