@jakmro/standardize naming (#62)

## Description
Standardize naming and fix urls

### Type of change
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to not work as expected)
- [ ] Documentation update (improves or adds clarity to existing
documentation)

### Tested on
- [x] iOS
- [x] Android

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

Author: jakmro

android/src/main/java/com/swmansion/rnexecutorch/Classification.kt

@@ -32,7 +32,7 @@ class Classification(reactContext: ReactApplicationContext) :
       classificationModel.loadModel(modelSource)
       promise.resolve(0)
     } catch (e: Exception) {
-      promise.reject(e.message!!, ETError.InvalidModelPath.toString())
+      promise.reject(e.message!!, ETError.InvalidModelSource.toString())
     }
   }
 

android/src/main/java/com/swmansion/rnexecutorch/ETModule.kt

@@ -17,13 +17,13 @@ class ETModule(reactContext: ReactApplicationContext) : NativeETModuleSpec(react
     return NAME
   }
 
-  override fun loadModule(modelPath: String, promise: Promise) {
+  override fun loadModule(modelSource: String, promise: Promise) {
     Fetcher.downloadModel(
       reactApplicationContext,
-      modelPath,
+      modelSource,
     ) { path, error ->
       if (error != null) {
-        promise.reject(error.message!!, ETError.InvalidModelPath.toString())
+        promise.reject(error.message!!, ETError.InvalidModelSource.toString())
         return@downloadModel
       }
 

android/src/main/java/com/swmansion/rnexecutorch/StyleTransfer.kt

@@ -31,7 +31,7 @@ class StyleTransfer(reactContext: ReactApplicationContext) :
       styleTransferModel.loadModel(modelSource)
       promise.resolve(0)
     } catch (e: Exception) {
-      promise.reject(e.message!!, ETError.InvalidModelPath.toString())
+      promise.reject(e.message!!, ETError.InvalidModelSource.toString())
     }
   }
 

android/src/main/java/com/swmansion/rnexecutorch/utils/ETError.kt

@@ -4,7 +4,7 @@ enum class ETError(val code: Int) {
     UndefinedError(0x65),
     ModuleNotLoaded(0x66),
     FileWriteFailed(0x67),
-    InvalidModelPath(0xff),
+    InvalidModelSource(0xff),
 
   // System errors
     Ok(0x00),

docs/docs/guides/running-llms.md

@@ -14,10 +14,10 @@ React Native ExecuTorch supports Llama 3.2 models, including quantized versions.
 In order to load a model into the app, you need to run the following code:
 
 ```typescript
-import { useLLM, LLAMA3_2_1B_URL } from 'react-native-executorch';
+import { useLLM, LLAMA3_2_1B } from 'react-native-executorch';
 
 const llama = useLLM({
-  modelSource: LLAMA3_2_1B_URL,
+  modelSource: LLAMA3_2_1B,
   tokenizer: require('../assets/tokenizer.bin'),
   contextWindowLength: 3,
 });
@@ -91,7 +91,7 @@ In order to send a message to the model, one can use the following code:
 
 ```typescript
 const llama = useLLM(
-    modelSource: LLAMA3_2_1B_URL,
+    modelSource: LLAMA3_2_1B,
     tokenizer: require('../assets/tokenizer.bin'),
 );
 

examples/computer-vision/screens/ClassificationScreen.tsx

@@ -17,7 +17,7 @@ export const ClassificationScreen = ({
   );
 
   const model = useClassification({
-    modulePath: EFFICIENTNET_V2_S,
+    modelSource: EFFICIENTNET_V2_S,
   });
 
   const handleCameraPress = async (isCamera: boolean) => {

examples/computer-vision/screens/ObjectDetectionScreen.tsx

@@ -5,7 +5,7 @@ import { getImage } from '../utils';
 import {
   Detection,
   useObjectDetection,
-  SSDLITE_320_MOBILENET_V3_LARGE_URL,
+  SSDLITE_320_MOBILENET_V3_LARGE,
 } from 'react-native-executorch';
 import { View, StyleSheet, Image } from 'react-native';
 import ImageWithBboxes from '../components/ImageWithBboxes';
@@ -24,7 +24,7 @@ export const ObjectDetectionScreen = ({
   }>();
 
   const ssdLite = useObjectDetection({
-    modelSource: SSDLITE_320_MOBILENET_V3_LARGE_URL,
+    modelSource: SSDLITE_320_MOBILENET_V3_LARGE,
   });
 
   const handleCameraPress = async (isCamera: boolean) => {

examples/computer-vision/screens/StyleTransferScreen.tsx

@@ -15,7 +15,7 @@ export const StyleTransferScreen = ({
   setImageUri: (imageUri: string) => void;
 }) => {
   const model = useStyleTransfer({
-    modulePath: STYLE_TRANSFER_CANDY,
+    modelSource: STYLE_TRANSFER_CANDY,
   });
 
   const handleCameraPress = async (isCamera: boolean) => {

examples/llama/screens/ChatScreen.tsx

@@ -14,7 +14,7 @@ import { SafeAreaView } from 'react-native-safe-area-context';
 import SWMIcon from '../assets/icons/swm_icon.svg';
 import SendIcon from '../assets/icons/send_icon.svg';
 import Spinner from 'react-native-loading-spinner-overlay';
-import { LLAMA3_2_1B_QLORA_URL, useLLM } from 'react-native-executorch';
+import { LLAMA3_2_1B_QLORA, useLLM } from 'react-native-executorch';
 import PauseIcon from '../assets/icons/pause_icon.svg';
 import ColorPalette from '../colors';
 import Messages from '../components/Messages';
@@ -25,7 +25,7 @@ export default function ChatScreen() {
   const [isTextInputFocused, setIsTextInputFocused] = useState(false);
   const [userInput, setUserInput] = useState('');
   const llama = useLLM({
-    modelSource: LLAMA3_2_1B_QLORA_URL,
+    modelSource: LLAMA3_2_1B_QLORA,
     tokenizerSource: require('../assets/tokenizer.bin'),
     contextWindowLength: 6,
   });

ios/RnExecutorch/models/BaseModel.mm

@@ -13,7 +13,7 @@ - (void)loadModel:(NSURL *)modelURL completion:(void (^)(BOOL success, NSNumber*
   module = [[ETModel alloc] init];
   [Fetcher fetchResource:modelURL resourceType:ResourceType::MODEL completionHandler:^(NSString *filePath, NSError *error) {
     if (error) {
-      completion(NO, @(InvalidModelPath));
+      completion(NO, @(InvalidModelSource));
       return;
     }
     NSNumber *result = [self->module loadModel: filePath];