Update readme to contain links for pre-built Apps (#1853)

android/README.md

@@ -4,31 +4,17 @@ Please refer to
 https://k2-fsa.github.io/sherpa/onnx/android/index.html
 for usage.
 
-- [SherpaOnnxSpeakerDiarization](./SherpaOnnxSpeakerDiarization) It is for speaker diarization.
+|Folder| Pre-built APK | Description|
-
+|------|---------------|-------------|
-- [SherpaOnnx](./SherpaOnnx) It uses a streaming ASR model.
+|[SherpaOnnxSpeakerDiarization](./SherpaOnnxSpeakerDiarization)| | It is for speaker diarization.|
-
+|[SherpaOnnx](./SherpaOnnx)| [URL](https://k2-fsa.github.io/sherpa/onnx/android/apk.html)| It uses a streaming ASR model.|
-- [SherpaOnnx2Pass](./SherpaOnnx2Pass) It uses a streaming ASR model
+|[SherpaOnnx2Pass](./SherpaOnnx2Pass)|[URL](https://k2-fsa.github.io/sherpa/onnx/android/apk-2pass.html)| It uses a streaming ASR model for the first pass and use a non-streaming ASR model for the second pass|
-  for the first pass and use a non-streaming ASR model for the second pass
+|[SherpaOnnxKws](./SherpaOnnxKws)|[URL](https://k2-fsa.github.io/sherpa/onnx/kws/apk.html)| It demonstrates how to use keyword spotting|
-
+|[SherpaOnnxSpeakerIdentification](./SherpaOnnxSpeakerIdentification)|[URL](https://k2-fsa.github.io/sherpa/onnx/speaker-identification/apk.html)| It demonstrates how to use speaker identification|
-- [SherpaOnnxKws](./SherpaOnnxKws) It demonstrates how to use keyword spotting
+|[SherpaOnnxTts](./SherpaOnnxTts)|[URL](https://k2-fsa.github.io/sherpa/onnx/tts/apk.html)| It is for standalone text-to-speech.|
-
+|[SherpaOnnxTtsEngine](./SherpaOnnxTtsEngine)|[URL](https://k2-fsa.github.io/sherpa/onnx/tts/apk-engine.html)| It is for text-to-speech engine; you can use it to replace the system TTS engine, e.g., use it in a e-book reader app|
-- [SherpaOnnxSpeakerIdentification](./SherpaOnnxSpeakerIdentification) It demonstrates
+|[SherpaOnnxVad](./SherpaOnnxVad)|[URL](https://k2-fsa.github.io/sherpa/onnx/vad/apk.html)| It demonstrates how to use a VAD|
-  how to use speaker identification
+|[SherpaOnnxVadAsr](./SherpaOnnxVadAsr)|[URL](https://k2-fsa.github.io/sherpa/onnx/vad/apk-asr.html)| It uses a VAD with a non-streaming ASR model.|
-
+|[SherpaOnnxWebSocket](./SherpaOnnxWebSocket)| |It shows how to write a websocket client for the [Python streaming websocket server](https://github.com/k2-fsa/sherpa-onnx/blob/master/python-api-examples/streaming_server.py).|
-- [SherpaOnnxTts](./SherpaOnnxTts) It is for standalone text-to-speech.
+|[SherpaOnnxAudioTagging](./SherpaOnnxAudioTagging)|[URL](https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk.html)| It shows how to use audio tagging.|
-
+|[SherpaOnnxAudioTaggingWearOS](./SherpaOnnxAudioTagging)|[URL](https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk-wearos.html)| It shows how to use audio tagging on WearOS.|
-- [SherpaOnnxTtsEngine](./SherpaOnnxTtsEngine) It is for text-to-speech engine;
-   you can use it to replace the system TTS engine.
-
-- [SherpaOnnxVad](./SherpaOnnxVad) It demonstrates how to use a VAD
-
-- [SherpaOnnxVadAsr](./SherpaOnnxVadAsr) It uses a VAD with a non-streaming
-  ASR model.
-
-- [SherpaOnnxWebSocket](./SherpaOnnxWebSocket) It shows how to write a websocket
-  client for the Python streaming websocket server.
-
-- [SherpaOnnxAudioTagging](./SherpaOnnxAudioTagging) It shows how to use audio tagging.
-
-- [SherpaOnnxAudioTaggingWearOS](./SherpaOnnxAudioTagging) It shows how to use audio tagging on WearOS.

flutter-examples/README.md

@@ -2,6 +2,11 @@
 
 This directory contains flutter examples of `sherpa-onnx`.
 
+| Directory | Pre-built App |
+|-----------|---------------|
+|[./tts](./tts)|[URL](https://k2-fsa.github.io/sherpa/onnx/flutter/pre-built-app.html#text-to-speech-tts-speech-synthesis)|
+|[./streaming_asr](./streaming_asr)|[URL](https://k2-fsa.github.io/sherpa/onnx/flutter/pre-built-app.html#streaming-speech-recognition-stt-asr)|
+
 # Ways to create an example
 ```bash
 flutter create --platforms windows,macos streaming_asr

lazarus-examples/README.md

@@ -6,3 +6,7 @@ with Object Pascal API to develop speech related applications.
 
 **Documentation for this directory**:
 https://k2-fsa.github.io/sherpa/onnx/lazarus/index.html
+
+|Directory| Pre-built App|
+|---------|--------------|
+|[./generate_subtitles](./generate_subtitles)|[URL](https://k2-fsa.github.io/sherpa/onnx/lazarus/download-generated-subtitles.html)|

mfc-examples/README.md

@@ -3,6 +3,12 @@
 This directory contains examples showing how to use Next-gen Kaldi in MFC
 for speech recognition.
 
+|Directory| Pre-built exe (x64)|Pre-built exe (x86)| Description|
+|---------|--------------------|-------------------|------------|
+|[./NonStreamingSpeechRecognition](./NonStreamingSpeechRecognition)|[URL](https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.10.43/sherpa-onnx-non-streaming-asr-x64-v1.10.43.exe)|[URL](https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.10.43/sherpa-onnx-non-streaming-asr-x86-v1.10.43.exe)| Non-streaming speech recognition|
+|[./StreamingSpeechRecognition](./StreamingSpeechRecognition)|[URL](https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.10.43/sherpa-onnx-streaming-asr-x64-v1.10.43.exe)|[URL](https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.10.43/sherpa-onnx-streaming-asr-x86-v1.10.43.exe)| Streaming speech recognition|
+|[./NonStreamingTextToSpeech](./NonStreamingTextToSpeech)|[URL](https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.10.43/sherpa-onnx-non-streaming-tts-x64-v1.10.43.exe)|[URL](https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.10.43/sherpa-onnx-non-streaming-tts-x86-v1.10.43.exe)| Non-streaming text to speech|
+
 Caution: You need to use Windows and install Visual Studio 2022 in order to
 compile it.
 

new-release.sh

@@ -18,4 +18,6 @@ find nodejs-addon-examples -name package.json -type f -exec sed -i.bak 's/1\.10\
 find harmony-os -name "README.md" -type f -exec sed -i.bak 's/1\.10\.42/1\.10\.43/g' {} \;
 find harmony-os -name oh-package.json5 -type f -exec sed -i.bak 's/1\.10\.42/1\.10\.43/g' {} \;
 
+find mfc-examples -name "README.md" -type f -exec sed -i.bak 's/1\.10\.42/1\.10\.43/g' {} \;
+
 find . -name "*.bak" -exec rm {} \;