Add ability to send images over lora

android/app/build.gradle.kts

@@ -43,9 +43,22 @@ android {
         //         arguments += listOf("-DANDROID_STL=c++_shared")
         //     }
         // }
-        // ndk {
-        //     abiFilters += listOf("armeabi-v7a", "arm64-v8a", "x86_64")
-        // }
+        // arm64-v8a only, deliberately.
+        //
+        //  * ONNX Runtime (flutter_onnxruntime, used by the AEIC-SE image codec)
+        //    ships a per-ABI .so. arm64-v8a alone costs ~18 MB of APK; a
+        //    universal APK carrying armeabi-v7a and x86_64 as well costs ~56 MB.
+        //  * llamadart only declares android-arm64 and android-x64 backends in
+        //    pubspec.yaml's `hooks.user_defines`, so an armeabi-v7a build already
+        //    has no translation backend at all.
+        //  * The image codec needs ~2.7 GiB peak resident, which no 32-bit
+        //    address space can provide regardless of ABI.
+        //
+        // Consequence: this APK will not install on 32-bit-only ARM devices or on
+        // x86_64 emulators. For emulator work, temporarily add "x86_64" here.
+        ndk {
+            abiFilters += listOf("arm64-v8a")
+        }
     }
 
     signingConfigs {
@@ -67,6 +80,13 @@ android {
             } else {
                 signingConfigs.getByName("debug")
             }
+            // ONNX Runtime resolves its Java classes from native code by name.
+            // Without these rules R8 renames them and the process SIGABRTs with
+            // "java_class == null" the instant the codec runs a model.
+            proguardFiles(
+                getDefaultProguardFile("proguard-android-optimize.txt"),
+                "proguard-rules.pro",
+            )
         }
     }
 

android/app/proguard-rules.pro

@@ -0,0 +1,19 @@
+# ONNX Runtime looks its Java classes up from native code with FindClass /
+# GetMethodID, by literal name. R8 renames them, the lookup returns null, and
+# the process dies with:
+#
+#   JNI DETECTED ERROR IN APPLICATION: java_class == null
+#     at art::JNI<false>::GetMethodID
+#     from convertToTensorInfo -> Java_ai_onnxruntime_OrtSession_run
+#
+# It is a hard SIGABRT in native code, so nothing in Dart can catch it: the app
+# vanishes the moment the codec touches the model. Keep the whole package —
+# these are the types the native layer reflects on to build tensors and read
+# results back.
+-keep class ai.onnxruntime.** { *; }
+-keepclassmembers class ai.onnxruntime.** { *; }
+-dontwarn ai.onnxruntime.**
+
+# The Flutter plugin's platform-channel handler, reached the same way.
+-keep class com.masicai.flutteronnxruntime.** { *; }
+-dontwarn com.masicai.flutteronnxruntime.**