docs: deprecate live-transcription (#310)

README.md

@@ -16,10 +16,6 @@ See the documentation for installation instructions and usage: [speaches.ai](htt
 - [Highly configurable](https://speaches.ai/configuration/)
 - OpenAI API compatible. All tools and SDKs that work with OpenAI's API should work with `speaches`.
 - Streaming support (transcription is sent via SSE as the audio is transcribed. You don't need to wait for the audio to fully be transcribed before receiving it).
-
-  - LocalAgreement2 ([paper](https://aclanthology.org/2023.ijcnlp-demo.3.pdf) | [original implementation](https://github.com/ufal/whisper_streaming)) algorithm is used for live transcription.
-
-- Live transcription support (audio is sent via websocket as it's generated).
 - Dynamic model loading / offloading. Just specify which model you want to use in the request and it will be loaded automatically. It will then be unloaded after a period of inactivity.
 - Text-to-Speech via `kokoro`(Ranked #1 in the [TTS Arena](https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena)) and `piper` models.
 - [Coming soon](https://github.com/speaches-ai/speaches/issues/231): Audio generation (chat completions endpoint) | [OpenAI Documentation](https://platform.openai.com/docs/guides/realtime)
@@ -39,7 +35,3 @@ TODO
 ### Speech Generation
 
 https://github.com/user-attachments/assets/0021acd9-f480-4bc3-904d-831f54c4d45b
-
-### Live Transcription (using WebSockets)
-
-https://github.com/fedirz/faster-whisper-server/assets/76551385/e334c124-af61-41d4-839c-874be150598f

docs/index.md

@@ -18,8 +18,6 @@
   - Perform sentiment analysis on a recording (audio in, text out)
   - Async speech to speech interactions with a model (audio in, audio out)
 - Streaming support (transcription is sent via SSE as the audio is transcribed. You don't need to wait for the audio to fully be transcribed before receiving it).
-- Live transcription support (audio is sent via websocket as it's generated).
-  - LocalAgreement2 ([paper](https://aclanthology.org/2023.ijcnlp-demo.3.pdf) | [original implementation](https://github.com/ufal/whisper_streaming)) algorithm is used for live transcription.
 - Dynamic model loading / offloading. Just specify which model you want to use in the request and it will be loaded automatically. It will then be unloaded after a period of inactivity.
 - Text-to-Speech via `kokoro`(Ranked #1 in the [TTS Arena](https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena)) and `piper` models.
 - GPU and CPU support.
@@ -44,9 +42,3 @@ TODO
 <video width="100%" controls>
   <source src="https://github.com/user-attachments/assets/0021acd9-f480-4bc3-904d-831f54c4d45b" type="video/webm">
 </video>
-
-### Live Transcription (using WebSockets)
-
-<video width="100%" controls>
-  <source src="https://github.com/fedirz/faster-whisper-server/assets/76551385/e334c124-af61-41d4-839c-874be150598f" type="video/mp4">
-</video>

mkdocs.yml

@@ -45,7 +45,6 @@ nav:
       - Voice Chat: usage/voice-chat.md
       - Speech-to-Text: usage/speech-to-text.md
       - Text-to-Speech: usage/text-to-speech.md
-      - Live Transcription (using WebSockets): usage/live-transcription.md
       - Open WebUI Integration: usage/open-webui-integration.md
   - Installation: installation.md
   - Configuration: configuration.md