[Feature]: Integrate Gemini AI Plugin for game codes & translation

[zaxalsnhddjd-star]

Required checklist

• I searched existing GitHub issues and did not find this request.
• I checked whether this can already be done with existing settings or components.
• I explained the use case, not only the proposed implementation.

Feature category

API or data

Use case

Integrating an AI assistant inside GameHub Lite will solve multiple common challenges for players, such as:

1. Difficulty understanding, configuring, or modifying complex game scripts and custom settings files.
2. The language barrier when trying to play games that are not available in the user's native language.
3. Troubleshooting sudden emulation crashes and performance drops, allowing the AI to analyze logs and recommend quick memory and FPS optimizations.

Proposed change

Here is a lightweight, asynchronous Kotlin bridge concept designed to connect the emulator with the Gemini API safely in the background without affecting in-game performance:

import android.content.Context
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.toRequestBody
import org.json.JSONObject
import java.io.IOException

class GeminiAIPlugin(private val context: Context, private val apiKey: String) {

    private val client = OkHttpClient()
    private val mediaType = "application/json; charset=utf-8".toMediaType()
    private val apiUrl = "[https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$apiKey](https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$apiKey)"

    fun processGameData(userInput: String, gameContext: String, callback: (String) -> Unit) {
        
        val systemInstruction = """
            You are an integrated AI inside GameHub Emulator. 
            Your job is to assist the user with game codes, game translations, and fixing emulation crashes.
            Respond briefly and directly to optimize gaming performance.
        """.trimIndent()

        val fullPrompt = "$systemInstruction\nGame Context: $gameContext\nUser Request: $userInput"

        val jsonBody = JSONObject().apply {
            val contents = JSONObject().apply {
                val parts = JSONObject().apply {
                    put("text", fullPrompt)
                }
                put("parts", java.util.Collections.singletonList(parts))
            }
            put("contents", java.util.Collections.singletonList(contents))
        }

        val request = Request.Builder()
            .url(apiUrl)
            .post(jsonBody.toString().toRequestBody(mediaType))
            .build()

        client.newCall(request).enqueue(object : Callback {
            override fun onFailure(call: Call, e: IOException) {
                callback("Error: Unable to connect to AI Hub (${e.message})")
            }

            override fun onResponse(call: Call, response: Response) {
                val responseData = response.body?.string()
                if (response.isSuccessful && responseData != null) {
                    try {
                        val jsonResponse = JSONObject(responseData)
                        val aiText = jsonResponse
                            .getJSONArray("candidates")
                            .getJSONObject(0)
                            .getJSONObject("content")
                            .getJSONArray("parts")
                            .getJSONObject(0)
                            .getString("text")
                        
                        callback(aiText)
                    } catch (e: Exception) {
                        callback("Error parsing AI response.")
                    }
                } else {
                    callback("AI Hub is currently busy. Try again.")
                }
            }
        })
    }
}


### Alternatives tried

Here is a lightweight, asynchronous Kotlin bridge concept designed to connect the emulator with the Gemini API safely in the background without affecting in-game performance:

```kotlin
import android.content.Context
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.toRequestBody
import org.json.JSONObject
import java.io.IOException

class GeminiAIPlugin(private val context: Context, private val apiKey: String) {

    private val client = OkHttpClient()
    private val mediaType = "application/json; charset=utf-8".toMediaType()
    private val apiUrl = "[https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$apiKey](https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$apiKey)"

    fun processGameData(userInput: String, gameContext: String, callback: (String) -> Unit) {
        
        val systemInstruction = """
            You are an integrated AI inside GameHub Emulator. 
            Your job is to assist the user with game codes, game translations, and fixing emulation crashes.
            Respond briefly and directly to optimize gaming performance.
        """.trimIndent()

        val fullPrompt = "$systemInstruction\nGame Context: $gameContext\nUser Request: $userInput"

        val jsonBody = JSONObject().apply {
            val contents = JSONObject().apply {
                val parts = JSONObject().apply {
                    put("text", fullPrompt)
                }
                put("parts", java.util.Collections.singletonList(parts))
            }
            put("contents", java.util.Collections.singletonList(contents))
        }

        val request = Request.Builder()
            .url(apiUrl)
            .post(jsonBody.toString().toRequestBody(mediaType))
            .build()

        client.newCall(request).enqueue(object : Callback {
            override fun onFailure(call: Call, e: IOException) {
                callback("Error: Unable to connect to AI Hub (${e.message})")
            }

            override fun onResponse(call: Call, response: Response) {
                val responseData = response.body?.string()
                if (response.isSuccessful && responseData != null) {
                    try {
                        val jsonResponse = JSONObject(responseData)
                        val aiText = jsonResponse
                            .getJSONArray("candidates")
                            .getJSONObject(0)
                            .getJSONObject("content")
                            .getJSONArray("parts")
                            .getJSONObject(0)
                            .getString("text")
                        
                        callback(aiText)
                    } catch (e: Exception) {
                        callback("Error parsing AI response.")
                    }
                } else {
                    callback("AI Hub is currently busy. Try again.")
                }
            }
        })
    }
}


### Affected devices or SoCs

All Android Devices (Cloud API based feature)

### Additional context

Here is a lightweight, asynchronous Kotlin bridge concept designed to connect the emulator with the Gemini API safely in the background without affecting in-game performance:

```kotlin
import android.content.Context
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.toRequestBody
import org.json.JSONObject
import java.io.IOException

class GeminiAIPlugin(private val context: Context, private val apiKey: String) {

    private val client = OkHttpClient()
    private val mediaType = "application/json; charset=utf-8".toMediaType()
    private val apiUrl = "[https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$apiKey](https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$apiKey)"

    fun processGameData(userInput: String, gameContext: String, callback: (String) -> Unit) {
        
        val systemInstruction = """
            You are an integrated AI inside GameHub Emulator. 
            Your job is to assist the user with game codes, game translations, and fixing emulation crashes.
            Respond briefly and directly to optimize gaming performance.
        """.trimIndent()

        val fullPrompt = "$systemInstruction\nGame Context: $gameContext\nUser Request: $userInput"

        val jsonBody = JSONObject().apply {
            val contents = JSONObject().apply {
                val parts = JSONObject().apply {
                    put("text", fullPrompt)
                }
                put("parts", java.util.Collections.singletonList(parts))
            }
            put("contents", java.util.Collections.singletonList(contents))
        }

        val request = Request.Builder()
            .url(apiUrl)
            .post(jsonBody.toString().toRequestBody(mediaType))
            .build()

        client.newCall(request).enqueue(object : Callback {
            override fun onFailure(call: Call, e: IOException) {
                callback("Error: Unable to connect to AI Hub (${e.message})")
            }

            override fun onResponse(call: Call, response: Response) {
                val responseData = response.body?.string()
                if (response.isSuccessful && responseData != null) {
                    try {
                        val jsonResponse = JSONObject(responseData)
                        val aiText = jsonResponse
                            .getJSONArray("candidates")
                            .getJSONObject(0)
                            .getJSONObject("content")
                            .getJSONArray("parts")
                            .getJSONObject(0)
                            .getString("text")
                        
                        callback(aiText)
                    } catch (e: Exception) {
                        callback("Error parsing AI response.")
                    }
                } else {
                    callback("AI Hub is currently busy. Try again.")
                }
            }
        })
    }
}

[Spetnaz971]

That sounds really interesting. Could I talk to you about setting it up?

[zaxalsnhddjd-star]

That sounds really interesting. Could I talk to you about setting it up?

That sounds great! I'm happy to help you with the setup. If you'd like to discuss the details further, you can reach out to me on TikTok at: O7_za
Looking forward to working on this together!"

[chidotnb]

wasn't the main appeal for gamehub lite being that it doesn't have that much slop in it compared to normal gamehub 😭 why are we bringing ai to this

[zaxalsnhddjd-star]

wasn't the main appeal for gamehub lite being that it doesn't have that much slop in it compared to normal gamehub 😭 why are we bringing ai to this

Actually, you’re quite late to the conversation. A partner and I have already been working on this, and the AI implementation is far from 'slop.'
The AI is integrated to act as a real-time engine: it instantly detects and fixes broken code and performs rapid refactoring. The primary goal is to prevent game crashes and significantly boost FPS by optimizing the code structure on the fly. We are ensuring that 'Gamehub lite' stays lightweight while achieving a much higher level of performance and stability.