Update app.py

app.py

@@ -23,6 +23,7 @@ device = 'cuda' if torch.cuda.is_available() else 'cpu'
 model = AutoModelForCausalLM.from_pretrained("microsoft/Florence-2-base-ft", trust_remote_code=True).to(device).eval()
 processor = AutoProcessor.from_pretrained("microsoft/Florence-2-base-ft", trust_remote_code=True)
 onnx_model = YOLO("models/best.onnx", task='detect')
+onnx_model_table = YOLO("models/tables/best.onnx", task='detect')
 
 
 def filter_detections(detections, target_class_name="mark"):