chore: 0.4.10 (#669)

## Description

<!-- Provide a concise and descriptive summary of the changes
implemented in this PR. -->

### Introduces a breaking change?

- [ ] Yes
- [x] No

### Type of change

- [x] Bug fix (change which fixes an issue)
- [ ] New feature (change which adds functionality)
- [ ] Documentation update (improves or adds clarity to existing
documentation)
- [ ] Other (chores, tests, code style improvements etc.)

### Tested on

- [x] iOS
- [x] Android

### Testing instructions

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Include setup details if necessary. -->

### Screenshots

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### Related issues

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### Checklist

- [x] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have updated the documentation accordingly
- [x] My changes generate no new warnings

### Additional notes

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reviewers might need to understand this PR. -->

---------

Co-authored-by: Mateusz Kopcinski <[email protected]>
Co-authored-by: Mateusz Kopciński <[email protected]>

Author: 3 people

android/build.gradle

@@ -103,7 +103,7 @@ dependencies {
   implementation "com.facebook.react:react-android:+"
   implementation 'org.opencv:opencv:4.10.0'
   implementation "org.jetbrains.kotlin:kotlin-stdlib:$kotlin_version"
-	implementation("com.github.software-mansion:react-native-executorch:v0.4.9")
+	implementation("com.github.software-mansion-labs:react-native-executorch:v0.4.10")
   implementation 'org.opencv:opencv:4.10.0'
   implementation("com.squareup.okhttp3:okhttp:4.9.2")
 }

package.json

@@ -1,6 +1,6 @@
 {
   "name": "react-native-executorch",
-  "version": "0.4.9",
+  "version": "0.4.10",
   "description": "An easy way to run AI models in react native with ExecuTorch",
   "source": "./src/index.ts",
   "main": "./lib/commonjs/index.js",

src/controllers/LLMController.ts

@@ -284,7 +284,7 @@ export class LLMController {
     const template = new Template(tokenizerConfig.chat_template);
 
     const specialTokens = Object.fromEntries(
-      Object.keys(SPECIAL_TOKENS)
+      Object.values(SPECIAL_TOKENS)
         .filter((key) => key in tokenizerConfig)
         .map((key) => [key, tokenizerConfig[key]])
     );