Output data about detected object

app.py

@@ -34,7 +34,7 @@ def predict(image, threshold=0.25, model_id=None):
     results = model(image, size=input_size)
     numpy_image = results.render()[0]
     output_image = Image.fromarray(numpy_image)
-    return output_image
+    return (output_image, str(results.pred))
 
 
 gr.Interface(
@@ -47,7 +47,10 @@ gr.Interface(
         gr.Slider(maximum=1, step=0.01, value=0.25),
         gr.Dropdown(models_ids, value=models_ids[-1]),
     ],
-    outputs=gr.Image(type="pil"),
+    outputs=[
+        gr.Image(type="pil"),
+        gr.Textbox(interactive=False),
+    ],
     examples=examples,
     cache_examples=True if examples else False,
 ).launch(enable_queue=True)