docs: clean up readme

Author: coolsoftwaretyler

modules/react-native-mlkit-barcode-scanning/README.md

@@ -1,89 +1,5 @@
-# @infinitered/react-native-mlkit-image-labeling
+# @infinitered/react-native-mlkit-barcode-scanning
 
-### [Check the friendly docs here! 📖](https://docs.infinite.red/react-native-mlkit/image-labeling)
+### [Check the friendly docs here! 📖](https://docs.infinite.red/react-native-mlkit/barcode-scanning)
 
-# Getting Started with react-native-mlkit-image-labeling
-
-## Overview
-
-`react-native-mlkit-image-labeling` provides utilities for image classification using ML Kit in React Native apps. It
-allows for the classification of images using either ML Kit's built-in models or custom TensorFlow Lite models.
-
-## Installation
-
-```shell
-npm install @infinitered/react-native-mlkit-image-labeling expo-asset
-```
-
-## Usage
-
-### 1. Import necessary hooks and types:
-
-```tsx
-import {
-  useImageLabeling,
-  useImageLabelingProvider,
-  useImageLabelingModels,
-  ImageLabelingConfig,
-  ClassificationResult
-} from "@infinitered/react-native-mlkit-image-labeling";
-```
-
-### 2. Define your models configuration:
-
-Create an `ImageLabelingConfig` object that identifies your model files and options:
-
-```tsx
-const MODELS: ImageLabelingConfig = {
-  nsfw: {
-    model: require("./path/to/model.tflite"),
-    options: {
-      maxResultCount: 5,
-      confidenceThreshold: 0.5,
-    },
-  },
-};
-```
-
-### 3. Set up the Provider:
-
-The image labeling functionality requires a provider at the root of your app or where you plan to use the models:
-
-```tsx
-function App() {
-  const models = useImageLabelingModels(MODELS);
-  const { ImageLabelingModelProvider } = useImageLabelingProvider(models);
-
-  return (
-    <ImageLabelingModelProvider>
-      <YourApp />
-    </ImageLabelingModelProvider>
-  );
-}
-
-```
-
-### 4. Using the image labeler in your components:
-
-```tsx
-function ImageClassifier() {
-// Get the classifier instance for your model
-  const classifier = useImageLabeling("nsfw");
-
-  const classifyImage = async (imageUri: string) => {
-    try {
-      const result = await classifier.classifyImage(imageUri);
-      console.log(result);
-    } catch (error) {
-      console.error("Classification failed:", error);
-    }
-  };
-
-  return (
-    <View>
-      // ....your component
-    </View>
-  );
-}
-
-```
+# Getting Started with react-native-mlkit-barcode-scanning