From c5515ace19066e938854b4b99e0c2e9bbc2eeb65 Mon Sep 17 00:00:00 2001
From: Konstantin <const@const.me>
Date: Sat, 22 Jul 2023 15:12:11 +0200
Subject: [PATCH] NuGet package readme and metadata

---
 WhisperNet/Readme.md         | 4 ++--
 WhisperNet/WhisperNet.nuspec | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/WhisperNet/Readme.md b/WhisperNet/Readme.md
index 1545e23..aed10ce 100644
--- a/WhisperNet/Readme.md
+++ b/WhisperNet/Readme.md
@@ -5,8 +5,8 @@ The library requires a hardware GPU which supports Direct3D 11.0, a 64-bit Windo
 The main entry point of the llibrary is `Whisper.Library` static class.
 Call `loadModel` function from that class to load an ML model from a binary file.
 
-These binary files are available for free download on [Hugging Face](https://huggingface.co/ggerganov/whisper.cpp/tree/main).<br/>
-I recommend `ggml-medium.bin` (1.42GB in size, but that web page says 1.53 GB), because I’ve mostly tested the software with that model.<br/>
+These binary files are available for free download on [Hugging Face](https://huggingface.co/ggerganov/whisper.cpp/tree/main).
+I recommend `ggml-medium.bin` (1.42GB in size, but that web page says 1.53 GB), because I’ve mostly tested the software with that model.
 Compressed models in ZIP format with `mlmodelc` in the file name are not supported.
 
 Once the model is loaded, create a context by calling `createContext` extension method,
diff --git a/WhisperNet/WhisperNet.nuspec b/WhisperNet/WhisperNet.nuspec
index e7fe354..6d349a2 100644
--- a/WhisperNet/WhisperNet.nuspec
+++ b/WhisperNet/WhisperNet.nuspec
@@ -8,8 +8,8 @@
 		<projectUrl>https://github.com/Const-me/Whisper</projectUrl>
 		<description>High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model</description>
 		<releaseNotes>
-			When loading models, adapters can be selected with 0-based index, in addition to the name.
-			Added an API method to decode initial prompt into array of tokens.
+			Updated models source URL in the documentation.
+			Reliability enhancement, microphone capture less likely to transition to “Stalled” state and discard the audio.
 		</releaseNotes>
 		<copyright>Copyright © const.me, 2022-2023</copyright>
 		<tags>whisper, gpgpu, speech recognition</tags>