chore: #22 Added code to run through

logic/models/index.go

@@ -18,6 +18,7 @@ func HandleModels (handle *Handle) {
     model_classes.HandleList(handle)
     
     // Train endpoints
+    handleRun(handle)
     models_train.HandleTrainEndpoints(handle)
 }
 

logic/models/run.go

@@ -70,19 +70,20 @@ func handleRun(handle *Handle) {
 		}
 
 		definitions_rows, err := handle.Db.Query("select id from model_definition where model_id=$1;", model.Id)
-		if !definitions_rows.Next() {
+		if err != nil {
-			// TODO improve this
+			return Error500(err)
-			return ErrorCode(nil, 400, c.AddMap(nil))
 		}
 		defer definitions_rows.Close()
 
 		if !definitions_rows.Next() {
-			return Error500(nil)
+			// TODO improve this
+            fmt.Printf("Could not find definition\n")
+			return ErrorCode(nil, 400, c.AddMap(nil))
 		}
 
 		var def_id string
 		if err = definitions_rows.Scan(&def_id); err != nil {
-			return Error500(nil)
+			return Error500(err)
 		}
 
 		// TODO create a database table with tasks
@@ -97,18 +98,21 @@ func handleRun(handle *Handle) {
 		img_file.Write(file)
 
 		root := tg.NewRoot()
-		tf_img := image.Read(root, path.Join(run_path, "img.png"), 1)
+		tf_img := image.Read(root, path.Join(run_path, "img.png"), 3)
-        tf_model := tg.LoadModel(path.Join("savedData", model.Id, "defs", def_id, "model"), []string{"serve"}, nil)
         
-        tf_img_tensor, err := tf.NewTensor(tf_img.Value())
+        batch := tg.Batchify(root, []tf.Output{tf_img.Value()})
+        exec_results := tg.Exec(root, []tf.Output{batch}, nil, &tf.SessionOptions{})
+        inputImage, err:= tf.NewTensor(exec_results[0].Value())
         if err != nil {
             return Error500(err)
         }
 
+        tf_model := tg.LoadModel(path.Join("savedData", model.Id, "defs", def_id, "model"), []string{"serve"}, nil)
+
         results := tf_model.Exec([]tf.Output{
                 tf_model.Op("StatefulPartitionedCall", 0),
         }, map[tf.Output]*tf.Tensor{
-                tf_model.Op("serving_default_inputs_input", 0): tf_img_tensor,
+                tf_model.Op("serving_default_rescaling_input", 0): inputImage,
         })
 
         predictions := results[0]

views/models/edit.html

@@ -303,7 +303,7 @@
                         Image File
                     </span>
                 </button>
-                <input id="file" name="file" type="file" required accept="application/zip" />
+                <input id="file" name="file" type="file" required accept="image/png" />
             </div>
         </fieldset>
         <button>