giolaq

Update Documentation

You will generate LLM-optimized documentation with concrete file references and flexible formatting.

Your Task

Create documentation that allows humans and LLMs to:

• Understand project purpose - what the project does and why
• Get architecture overview - how the system is organized
• Build on all platforms - build instructions with file references

giolaq

Study the codebase in the current directory and develop the following feature using the same coding style and best practices of the project.


Create a new carousel page in the React Native Multi-TV App that fetches and displays data from the VibePope API's. The implementation should include

1. Create a new API service file at services/api.ts that: 
   - API endpoint from https://vibepope.onrender.com with /api/cardinals 
   - Defines interfaces for the API response and carousel items
   - Implements a fetchCarouselData() function that authenticates with NODE_ENV = production
   - Maps the cardinal data (name, biography_text, photo_url) to the format expected by the carousel

giolaq

import React from 'react';
import { View, ViewStyle, StyleSheet } from 'react-native';
import { scaledPixels } from '@/hooks/useScale';

type SafeZoneProps = {
  children: React.ReactNode;
  style?: ViewStyle;
  top?: boolean;
  bottom?: boolean;
  left?: boolean;

giolaq

https://www.amazon.co.uk/gp/mas/beta/redeem/BPY7DX9MVL6RS/d2d63935-fffd-485b-a523-5b4bcc3fca55

giolaq

fun main(args : Array<String>) {
    println("Hello, World!")
}

giolaq

    implementation 'com.huawei.hms:ml-speech-semantics-sounddect-model:2.1.0.300'
    implementation 'com.huawei.hms:ml-speech-semantics-sounddect-sdk:2.1.0.300'

giolaq

package com.laquysoft.wordsearchai.textrecognizer

import android.graphics.Bitmap
import com.huawei.hms.mlsdk.MLAnalyzerFactory
import com.huawei.hms.mlsdk.common.MLFrame

class HMSDocumentTextRecognizer : DocumentTextRecognizer {

    //private val detector = MLAnalyzerFactory.getInstance().remoteDocumentAnalyzer
    private val detector = MLAnalyzerFactory.getInstance().localTextAnalyzer

giolaq

package com.laquysoft.wordsearchai.textrecognizer

import android.graphics.Bitmap
import com.google.firebase.ml.vision.FirebaseVision
import com.google.firebase.ml.vision.common.FirebaseVisionImage

class GMSDocumentTextRecognizer : DocumentTextRecognizer {

    private val detector = FirebaseVision.getInstance().onDeviceTextRecognizer

giolaq

class WordSearchAiViewModel(
    private val resourceProvider: ResourceProvider,
    private val recognizer: DocumentTextRecognizer
) : ViewModel() {

    val resultList: MutableLiveData<List<String>> = MutableLiveData()
    val resultBoundingBoxes: MutableLiveData<List<Symbol>> = MutableLiveData()

    private lateinit var dictionary: List<String>

giolaq

object DocumentTextRecognizerService {

    private fun getServiceType(context: Context) = when {
        isGooglePlayServicesAvailable(
            context
        ) -> ServiceType.GOOGLE
        isHuaweiMobileServicesAvailable(
            context
        ) -> ServiceType.HUAWEI
        else -> ServiceType.GOOGLE