Fix offline proofreading crash, update docs, and improve API settings

Author: LeanBitLab

app/proguard-rules.pro

@@ -21,9 +21,16 @@
 
 # Keep Gemini API classes
 -keep class com.google.ai.client.generativeai.** { *; }
--keep class helium314.keyboard.latin.utils.GeminiProofreadService { *; }
+
 -keep class helium314.keyboard.latin.utils.ProofreadHelper { *; }
 -keep class helium314.keyboard.latin.utils.ProofreadHelper$* { *; }
 
 # Keep java-llama.cpp classes
 -keep class de.kherud.llama.** { *; }
+
+# ONNX Runtime configurations
+-dontwarn com.google.protobuf.**
+-keep class ai.onnxruntime.** { *; }
+
+# Fix correct service name
+-keep class helium314.keyboard.latin.utils.ProofreadService { *; }

app/src/main/java/helium314/keyboard/settings/screens/AdvancedScreen.kt

@@ -285,7 +285,7 @@ fun createAdvancedSettings(context: Context) = listOfNotNull(
         val service = remember { helium314.keyboard.latin.utils.ProofreadService(ctx) }
         Preference(
             name = setting.title,
-            description = setting.description,
+            description = if (service.hasApiKey()) "Key set" else stringResource(R.string.gemini_api_key_summary),
             onClick = { showDialog = true }
         )
         if (showDialog) {
@@ -356,20 +356,28 @@ fun createAdvancedSettings(context: Context) = listOfNotNull(
         var showDialog by rememberSaveable { mutableStateOf(false) }
         val ctx = LocalContext.current
         val service = remember { helium314.keyboard.latin.utils.ProofreadService(ctx) }
+        var hasToken by remember { mutableStateOf(service.getGroqToken() != null) }
+        
         Preference(
             name = setting.title,
-            description = setting.description,
+            description = if (hasToken) "Key set" else "Not set",
             onClick = { showDialog = true }
         )
         if (showDialog) {
             TextInputDialog(
                 onDismissRequest = { showDialog = false },
                 textInputLabel = { Text(stringResource(R.string.groq_token_hint)) },
                 initialText = service.getGroqToken() ?: "",
-                onConfirmed = { service.setGroqToken(it) },
+                onConfirmed = { 
+                    service.setGroqToken(it)
+                    hasToken = true
+                },
                 title = { Text(stringResource(R.string.groq_token_title)) },
-                neutralButtonText = if (service.getGroqToken() != null) stringResource(R.string.delete) else null,
-                onNeutral = { service.setGroqToken(null) },
+                neutralButtonText = if (hasToken) stringResource(R.string.delete) else null,
+                onNeutral = { 
+                    service.setGroqToken(null)
+                    hasToken = false
+                },
                 extraContent = {
                     val uriHandler = androidx.compose.ui.platform.LocalUriHandler.current
                     TextButton(
@@ -387,7 +395,7 @@ fun createAdvancedSettings(context: Context) = listOfNotNull(
         val service = remember { helium314.keyboard.latin.utils.ProofreadService(ctx) }
         Preference(
             name = setting.title,
-            description = setting.description,
+            description = if (service.getHuggingFaceToken() != null) "Key set" else "Not set",
             onClick = { showDialog = true }
         )
         if (showDialog) {

app/src/offline/java/helium314/keyboard/latin/utils/GeminiProofreadService.kt

@@ -73,7 +73,18 @@ object ProofreadHelper {
                     return
                 }
             }
-            ProofreadService.AIProvider.GROQ, ProofreadService.AIProvider.OPENAI -> {
+            ProofreadService.AIProvider.GROQ -> {
+                if (service.getGroqToken() == null) {
+                    mainHandler.post {
+                        KeyboardSwitcher.getInstance().showToast(
+                            context.getString(R.string.huggingface_no_token),
+                            true
+                        )
+                    }
+                    return
+                }
+            }
+            ProofreadService.AIProvider.OPENAI -> {
                 if (service.getHuggingFaceToken() == null) {
                     mainHandler.post {
                         KeyboardSwitcher.getInstance().showToast(

app/src/standard/java/helium314/keyboard/latin/utils/ProofreadHelper.kt

@@ -124,7 +124,7 @@ Offline proofreading runs entirely on your device using the ONNX Runtime engine.
 
 | Model & Purpose | Performance / Size | System Instruction | Download Links (Direct) |
 | :--- | :--- | :--- | :--- |
-| **Visheratin T5 Tiny**<br>*(Grammar Correction Only)* | ⚡ **Fastest**<br>~35 MB<br>Low RAM usage | **Empty**<br>(Leave blank) | • [Encoder](https://huggingface.co/visheratin/t5-efficient-tiny-grammar-correction/resolve/main/encoder_model_quant.onnx)<br>• [Decoder](https://huggingface.co/visheratin/t5-efficient-tiny-grammar-correction/resolve/main/init_decoder_quant.onnx)<br>• [Tokenizer](https://huggingface.co/visheratin/t5-efficient-tiny-grammar-correction/resolve/main/tokenizer.json) |
-| **Flan-T5 Small**<br>*(Translation & General)* | 🐢 **Slower**<br>~300 MB<br>Higher accuracy | **Required**<br>`fix grammar: `<br>or<br>`translate English to Spanish: ` | • [Encoder](https://huggingface.co/Xenova/flan-t5-small/resolve/main/onnx/encoder_model_quantized.onnx)<br>• [Decoder](https://huggingface.co/Xenova/flan-t5-small/resolve/main/onnx/decoder_model_quantized.onnx)<br>• [Tokenizer](https://huggingface.co/Xenova/flan-t5-small/resolve/main/tokenizer.json) |
+| **Visheratin T5 Tiny**<br>*(Grammar Correction Only)* | ⚡ **Fastest**<br>~35 MB<br>Low RAM usage | **Empty**<br>(Leave blank) | • [Encoder](https://huggingface.co/visheratin/t5-efficient-tiny-grammar-correction/resolve/main/encoder_model_quant.onnx)<br>• [Decoder](https://huggingface.co/visheratin/t5-efficient-tiny-grammar-correction/resolve/main/init_decoder_quant.onnx)<br>• [Tokenizer](https://huggingface.co/visheratin/t5-efficient-tiny-grammar-correction/tree/main) |
+| **Flan-T5 Small**<br>*(Translation & General)* | 🐢 **Slower**<br>~300 MB<br>Higher accuracy | **Required**<br>`fix grammar: `<br>or<br>`translate English to Spanish: ` | • [Encoder](https://huggingface.co/Xenova/flan-t5-small/resolve/main/onnx/encoder_model_quantized.onnx)<br>• [Decoder](https://huggingface.co/Xenova/flan-t5-small/resolve/main/onnx/decoder_model_quantized.onnx)<br>• [Tokenizer](https://huggingface.co/Xenova/flan-t5-small/tree/main) |
 
 *Note: For Flan-T5, the quantized models linked above are standard recommendations. Users have also reported success with `bnb4` quantized variants if available.*