try to save result in a local file?

app.py

@@ -42,7 +42,10 @@ def predict(img: np.ndarray) -> str:
     print(f'result is: {type(result)}')
     print(result.shape)
     print(result)
-    return result
+    
+    result_fp = 'temp_result.jpg'
+    cv2.imwrite(result_fp, result)
+    return result_fp
 
 
 # For each detection, the description is in the [x_min, y_min, x_max, y_max, conf] format:
@@ -104,7 +107,7 @@ enable_queue=True
 gr.Interface(
     fn=predict,
     inputs=gr.inputs.Image(),
-    outputs=gr.outputs.Image(),
+    outputs=gr.outputs.Image(type='filepath'),
     title=title,
     description=description,
     #examples=examples,