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,