Update app.py

app.py

@@ -48,11 +48,9 @@ if not os.path.exists(pretrained_pth_novg):
 build model
 '''
 model_last = BaseModel(opt, build_model(opt)).from_pretrained(pretrained_pth_last).eval().cuda()
-model_cap = BaseModel(opt, build_model(opt)).from_pretrained(pretrained_pth_novg).eval().cuda()
 
 with torch.no_grad():
     model_last.model.sem_seg_head.predictor.lang_encoder.get_text_embeddings(["background", "background"], is_eval=True)
-    model_cap.model.sem_seg_head.predictor.lang_encoder.get_text_embeddings(["background", "background"], is_eval=True)
 
 '''
 inference model