Update app.py

app.py

@@ -32,12 +32,14 @@ def predict(image, threshold=0.25, model_id=None):
     # perform inference
     model.conf = threshold
     results = model(image, size=input_size)
-    numpy_image = results.render()[0]
-    output_image = Image.fromarray(numpy_image)
+    
     output_json = []
-
     for i in results.pred:
         output_json.append({"boxes": i[:, :4], "scores": i[:, 4], "categories": i[:, 5]})
+
+    numpy_image = results.render()[0]
+    output_image = Image.fromarray(numpy_image)
+    
     return (output_image, json.dumps(output_json))