Add AI demos, slightly refactor layout of existing ones (#295)

* Add style transfer livebook

* Improve style transfer example, add Whisper, YOLO and Gemini examples

* Bump mix.lock in all mix projects

* Flatten the layout of all demos

* Improve livebooks text

* Improve text of style tranfer and yolo livebooks

* Refactor Whisper demo

Author: FelonEkonom

README.md

@@ -4,26 +4,41 @@ The simplest way to start using Membrane is via [Boombox](https://github.com/mem
 
 In the subdirectories of this repository you can find the following examples of using Membrane:
 
+### Basics
 
 - [simple_element](https://github.com/membraneframework/membrane_demo/tree/master/simple_element) - an example of a simple Membrane's element capable of counting the incoming buffers
 - [simple_pipeline](https://github.com/membraneframework/membrane_demo/tree/master/simple_pipeline) - an example of a Membrane's pipeline playing an mp3 file
+- [messages_source_and_sink](https://github.com/membraneframework/membrane_demo/tree/master/messages_source_and_sink) - send and receive media from the pipeline via Elixir messages
+- [playing_mp3_file](https://github.com/membraneframework/membrane_demo/tree/master/playing_mp3_file) - play an mp3 file in a Livebook cell
+
+### Audio
+
+- [mix_audio](https://github.com/membraneframework/membrane_demo/tree/master/mix_audio) - script that mixes two audio tracks into a single AAC file
+- [audio_mixer](https://github.com/membraneframework/membrane_demo/tree/master/audio_mixer) - mix a beep sound into background music
+- [soundwave](https://github.com/membraneframework/membrane_demo/tree/master/soundwave) - plot live audio amplitude on a graph
+
+### Streaming protocols
+
 - [camera_to_hls](https://github.com/membraneframework/membrane_demo/tree/master/camera_to_hls) - a demonstration of capturing camera output and converting it to an HLS stream
 - [camera_to_hls_nerves](https://github.com/membraneframework/membrane_demo/tree/master/camera_to_hls_nerves) - a demonstration of capturing video from a camera module on Raspberry Pi running Nerves and broadcasting it to a browser via HLS
+- [rtmp](https://github.com/membraneframework/membrane_demo/tree/master/rtmp) - send and receive RTMP stream
 - [rtmp_to_hls](https://github.com/membraneframework/membrane_demo/tree/master/rtmp_to_hls) - receiving RTMP stream and broadcasting it via HLS
 - [rtmp_to_adaptive_hls](https://github.com/membraneframework/membrane_demo/tree/master/rtmp_to_adaptive_hls) - receiving RTMP stream and broadcasting via multi-bitrate adaptive HLS
 - [rtp](https://github.com/membraneframework/membrane_demo/tree/master/rtp) - sending and receiving RTP/SRTP stream
 - [rtp_to_hls](https://github.com/membraneframework/membrane_demo/tree/master/rtp_to_hls) - receiving RTP stream and broadcasting it via HLS
 - [rtsp_to_hls](https://github.com/membraneframework/membrane_demo/tree/master/rtsp_to_hls) - receiving RTSP stream and converting it to HLS
+- [webrtc_live_view](https://github.com/membraneframework/membrane_demo/tree/master/webrtc_live_view) - send and receive WebRTC streams from a Phoenix LiveView app
+
+### AI
 
-Also, there are some [Livebook](https://livebook.dev) examples located in [livebooks](https://github.com/membraneframework/membrane_demo/tree/master/livebooks) directory:
+- [openai_realtime_with_membrane_webrtc](https://github.com/membraneframework/membrane_demo/tree/master/openai_realtime_with_membrane_webrtc) - conversation with AI via browser using [OpenAI Realtime API](https://openai.com/index/introducing-the-realtime-api/)
+- [speech_to_text](https://github.com/membraneframework/membrane_demo/tree/master/speech_to_text) - real-time speech recognition using [Whisper](https://github.com/openai/whisper)
+- [style_transfer](https://github.com/membraneframework/membrane_demo/tree/master/style_transfer) - real-time neural style transfer on a camera stream
+- [talk_with_gemini](https://github.com/membraneframework/membrane_demo/tree/master/talk_with_gemini) - low-latency voice conversation with Google's Gemini Live API
+- [whisper](https://github.com/membraneframework/membrane_demo/tree/master/whisper) - real-time audio transcription with OpenAI's Whisper via Bumblebee
+- [yolo](https://github.com/membraneframework/membrane_demo/tree/master/yolo) - real-time object detection on video with YOLO
 
-- [openai_realtime_with_membrane_webrtc](https://github.com/membraneframework/membrane_demo/tree/master/livebooks/openai_realtime_with_membrane_webrtc) - conversation with AI via browser using [OpenAI Realtime API](https://openai.com/index/introducing-the-realtime-api/)
-- [speech_to_text](https://github.com/membraneframework/membrane_demo/tree/master/livebooks/speech_to_text) - real-time speech recognition using [Whisper](https://github.com/openai/whisper)
-- [audio_mixer](https://github.com/membraneframework/membrane_demo/tree/master/livebooks/audio_mixer) - mix a beep sound into background music
-- [messages_source_and_sink](https://github.com/membraneframework/membrane_demo/tree/master/livebooks/messages_source_and_sink) - send and receive media from the pipeline via Elixir messages
-- [playing_mp3_file](https://github.com/membraneframework/membrane_demo/tree/master/livebooks/playing_mp3_file) - play an mp3 file in a Livebook cell
-- [rtmp](https://github.com/membraneframework/membrane_demo/tree/master/livebooks/rtmp) - send and receive RTMP stream
-- [soundwave](https://github.com/membraneframework/membrane_demo/tree/master/livebooks/soundwave) - plot live audio amplitude on a graph
+Many of the demos use [Livebook](https://livebook.dev) - install it to run them.
 
 ## Authors