faster into api

Author: ser

README.md

@@ -1,9 +1,11 @@
 # Wyoming Whisper API client
 
-[Wyoming protocol](https://github.com/rhasspy/wyoming) server for the Whisper API speech to text system.
+[Wyoming protocol](https://github.com/rhasspy/wyoming) server
+for theWhisper API speech to text system.
 
-My motivation was to establish a one working STT system for whole household, additionally to Home Assistant
-I use it for Blurt(https://github.com/QuantiusBenignus/blurt#network-transcription)
+My motivation was to establish a one working STT system for whole
+household, additionally to Home Assistant
+I use it for [Blurt](https://github.com/QuantiusBenignus/blurt#network-transcription)
 gnome shell extension.
 
 You need a running Whisper compatible API service, for example Whisper.cpp instance:
@@ -12,7 +14,7 @@ https://github.com/ggerganov/whisper.cpp/tree/master/examples/server
 
 I run it on nvidia GPU with fantastic results with detailed inference on large model in usually about a second:
 
-``` sh
+```sh
 whisper.cpp/server -m whisper.cpp/models/ggml-large-v3-q5_0.bin --host 0.0.0.0 --port 8910 --print-realtime --print-progress
 ```
 
@@ -22,19 +24,19 @@ You need to study whisper.cpp to get more information about running its STT serv
 
 Clone the repository and set up Python virtual environment:
 
-``` sh
+```sh
 git clone https://github.com/ser/wyoming-whisper-api-client
 cd wyoming-whisper-api-client
 script/setup
 ```
 
 Run a server anyone can connect to:
-``` sh
+
+```sh
 ./script/run --uri tcp://0.0.0.0:7891 --debug --api http://192.168.41.49:8910/inference
 ```
 
 # Acknowledgements
 
 1. It's a rewrite of Michael Hansen's wyoming-faster-whisper.
 2. Tests are not functioning as there is no public Whisper API service to test it out.
-