Update app.py

app.py

@@ -73,16 +73,15 @@ def yolov8_inference(
                 continue
             box = xyxy.tolist()
             area_rate = (box[2] - box[0]) * (box[3] - box[1]) / area_image
-
+            object_prediction = ObjectPrediction(
+                bbox=box,
+                category_name=CLASS[int(cls)],
+                category_id=int(cls),
+                score=area_rate,
+            )
+            object_predictions.append(object_prediction)
+            det_ind += 1
             if area_rate >= area_thres:
-                object_prediction = ObjectPrediction(
-                    bbox=box,
-                    category_name=CLASS[int(cls)],
-                    category_id=int(cls),
-                    score=area_rate,
-                )
-                object_predictions.append(object_prediction)
-                det_ind += 1
                 html_bot_voice = tts(defaul_bot_voice, language="ja")
                 
     result = visualize_object_predictions(
@@ -97,7 +96,7 @@ def yolov8_inference(
 
 outputs = [gr.Image(type="filepath", label="Output Image"),
            gr.HTML()]
-title = "State-of-the-Art YOLO Models for Object detection"
+title = "Detomo Aisatsu Robot"
 
 demo_app = gr.Interface(
     fn=yolov8_inference,