Add links to colab notebook, youtube, and bilibili (#16)

* Add links to colab notebook, youtube, and bilibili

* fix a typo

README.md

@@ -2,6 +2,21 @@
 
 **Documentation**: <https://k2-fsa.github.io/sherpa/ncnn/index.html>
 
+Try it in colab:
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1zdNAdWgV5rh1hLbLDqvLjxTa5tjU7cPa?usp=sharing)
+
+We provide two YouTube videos for demonstration about real-time speech recognition
+with `sherpa-ncnn` from a microphone:
+
+  - `English`: <https://www.youtube.com/watch?v=m6ynSxycpX0>
+  - `Chinese`: <https://www.youtube.com/watch?v=bbQfoRT75oM>
+
+**Note**: If you don't have access to YouTube, we provide the links
+in bilibili below:
+
+  - `English`: <https://www.bilibili.com/video/BV1TP411p7dh/>
+  - `Chinese`: <https://www.bilibili.com/video/BV1214y177vu>
+
 See <https://github.com/k2-fsa/sherpa>
 
 This repo uses [ncnn](https://github.com/tencent/ncnn) for running the neural
@@ -13,9 +28,8 @@ if you are interested in how the model is trained.
 We provide exported models in ncnn format and they can be downloaded using
 the following links:
 
-- English: <https://huggingface.co/csukuangfj/sherpa-ncnn-2022-09-05>
-- Chinese: <https://huggingface.co/csukuangfj/sherpa-ncnn-2022-09-30>
-
+  - English: <https://huggingface.co/csukuangfj/sherpa-ncnn-2022-09-05>
+  - Chinese: <https://huggingface.co/csukuangfj/sherpa-ncnn-2022-09-30>
 
 ## Build for Linux/macOS
 

cmake/ncnn.cmake

@@ -144,7 +144,7 @@ function(download_ncnn)
 
   FetchContent_GetProperties(ncnn)
   if(NOT ncnn_POPULATED)
-    message(STATUS "Downloading ncnn")
+    message(STATUS "Downloading ncnn ${ncnn_URL}")
     FetchContent_Populate(ncnn)
   endif()
   message(STATUS "ncnn is downloaded to ${ncnn_SOURCE_DIR}")