release: prepare for release v14

Author: shubham0204

CHANGELOG.md

@@ -1,7 +1,15 @@
-- App size is now reduced to half compared to the previous release. This is because the way
-  `llama.cpp` was integrated into the project has been changed, allowing for better compiler
-  optimizations and LTO (link-time optimization).
+- The app now supports automatic recognition (speech-to-text) for providing queries to the model.
+  The speech-to-text capabilities are powered
+  by [Moonshine](https://github.com/moonshine-ai/moonshine) and the packaged models could be found
+  on [HuggingFace](https://huggingface.co/shubhxm0204/moonshine-asr-models/tree/main).
+  - The speech is transformed into text during an on-device ASR model provided by Moonshine. Users
+    will only require an internet connection when downloading the ASR models from the abovementioned
+    HuggingFace Models repository.
+  - Currently supported languages are English (`en`) and Chinese (`zh`). Although Moonshine supports
+    more languages at the moment, SmolChat will add support for them in the future.
 
-- The app allows benchmarking the model used in a chat. Go to `Settings > Benchmark Model` in any
-  chat and click 'Start Benchmarking'. The benchmark results are `pp` (tokens/sec for prompt
-  processing) and `tg` (tokens/sec for token generation).
+- UI enhancements when downloading models from HuggingFace. Thanks to Gemini in Android Studio, the
+  UI of the HuggingFace model browser screens has been improved and modernized.
+
+- A bug causing the app to crash after modifying model settings has been resolved (#114). Thanks to
+  @jkkj for the contribution.

app/build.gradle.kts

@@ -15,8 +15,8 @@ android {
         applicationId = "io.shubham0204.smollmandroid"
         minSdk = 26
         targetSdk = 35
-        versionCode = 13
-        versionName = "13"
+        versionCode = 14
+        versionName = "14"
 
         testInstrumentationRunner = "androidx.test.runner.AndroidJUnitRunner"
     }