chore: remove dead code for the now-removed "images" project type

The "images" project type used the IBM Visual Recognition service
which is no longer available. This commit is a tiny bit of tidying
up to remove the code that handled that type. (It's not super
essential, as at the moment that code is just never called).

I've also updated the version of TensorFlow used in the extension
as there are a bunch of fixes and performance improvements that
went into the version since we last built this.

Signed-off-by: Dale Lane <dale.lane@uk.ibm.com>

Author: dalelane

downloadtfjs.sh

@@ -7,7 +7,7 @@ if [ ! -f "../src/com/kylecorry/ml4k/assets/model.json" ]; then
     do
         curl https://storage.googleapis.com/tfjs-models/tfjs/mobilenet_v1_0.25_224/group$i-shard1of1 -o ../src/com/kylecorry/ml4k/assets/group$i-shard1of1
     done
-    npm install @tensorflow/tfjs
+    npm install @tensorflow/tfjs@3.12.0
     cp node_modules/@tensorflow/tfjs/dist/tf.min.js ../src/com/kylecorry/ml4k/assets/.
     npm install @ricokahler/pool
     cp node_modules/@ricokahler/pool/dist/index.js ../src/com/kylecorry/ml4k/assets/promisepool.js

src/com/kylecorry/ml4k/ML4KComponent.java

@@ -198,10 +198,6 @@ public void run() {
                             data = ((ClassifyTextAction)classifyAction).text;
                             classification = ml4k.classify(data);
                             break;
-                        case ClassifyImage:
-                            data = ((ClassifyImageAction)classifyAction).imagePath;
-                            classification = ml4k.classify(loadImageFile(data));
-                            break;
                         case ClassifyNumbers:
                             YailList numbers = ((ClassifyNumbersAction)classifyAction).numbers;
                             data = numbers.toString();
@@ -677,7 +673,6 @@ private void processNextAction(final String projectType, final NextAction action
                     case "text":
                         addTrainingDataToProject(action);
                         break;
-                    case "images":
                     case "imgtfjs":
                         displayErrorMessage(EXPLAIN_API_KEY_TYPE_IMAGES);
                         break;
@@ -691,7 +686,6 @@ private void processNextAction(final String projectType, final NextAction action
                 break;
             case AddImageTraining:
                 switch (projectType) {
-                    case "images":
                     case "imgtfjs":
                         addTrainingDataToProject(action);
                         break;
@@ -711,7 +705,6 @@ private void processNextAction(final String projectType, final NextAction action
                     case "numbers":
                         addTrainingDataToProject(action);
                         break;
-                    case "images":
                     case "imgtfjs":
                         displayErrorMessage(EXPLAIN_API_KEY_TYPE_IMAGES);
                         break;
@@ -729,7 +722,6 @@ private void processNextAction(final String projectType, final NextAction action
                     case "text":
                         classifyTestDataOnServer(action);
                         break;
-                    case "images":
                     case "imgtfjs":
                         displayErrorMessage(EXPLAIN_API_KEY_TYPE_IMAGES);
                         break;
@@ -743,9 +735,6 @@ private void processNextAction(final String projectType, final NextAction action
                 break;
             case ClassifyImage:
                 switch (projectType) {
-                    case "images":
-                        classifyTestDataOnServer(action);
-                        break;
                     case "imgtfjs":
                         classifyImageWithTensorflow(((ClassifyImageAction)action).imagePath);
                         break;
@@ -765,7 +754,6 @@ private void processNextAction(final String projectType, final NextAction action
                     case "numbers":
                         classifyTestDataOnServer(action);
                         break;
-                    case "images":
                     case "imgtfjs":
                         displayErrorMessage(EXPLAIN_API_KEY_TYPE_IMAGES);
                         break;
@@ -780,7 +768,6 @@ private void processNextAction(final String projectType, final NextAction action
             // ML model actions
             case TrainModel:
                 switch (projectType) {
-                    case "images":
                     case "text":
                     case "numbers":
                         trainModelWithWatson();
@@ -795,7 +782,6 @@ private void processNextAction(final String projectType, final NextAction action
                 break;
             case CheckModelStatus:
                 switch (projectType) {
-                    case "images":
                     case "text":
                     case "numbers":
                         fetchModelStatusFromServer();

src/com/kylecorry/ml4k/ModelStatus.java

@@ -29,7 +29,16 @@ public static ModelStatus fromJson(String json) throws ML4KException {
         if (message == null || type == null){
             throw new ML4KException("JSON is not valid: " + json);
         }
-        return new ModelStatus(code, message, type);
+        if (type.equals("text") ||
+            type.equals("imgtfjs") ||
+            type.equals("numbers") ||
+            type.equals("sounds"))
+        {
+            return new ModelStatus(code, message, type);
+        }
+        else {
+            throw new ML4KException("Unexpected project type: " + type);
+        }
     }
 
     /**