test input

app.py

@@ -104,15 +104,14 @@ def deepseek(image, text_input):
 
     answer = tokenizer.decode(outputs[0].cpu().tolist(), skip_special_tokens=False)
 
-    object_ref_pattern = r"<\|object_ref_start\|>(.*?)<\|object_ref_end\|>"
+    print(f"{prepare_inputs['sft_format'][0]}", answer)
     det_pattern = r"<\|det\|>\[\[(.+)]]<\|\/det\|>"
 
     det_content = re.search(det_pattern, answer).group(1)
     bbox = [ int(v.trim()) / 999 for v in det_content.split(",")]
     w, h = image.size()
     bbox = [bbox[0] * w, bbox[1] * h, bbox[2] * w, bbox[3] * h] 
-    answer
-    print(f"{prepare_inputs['sft_format'][0]}", answer)
+    
 
     
     scaled_boxes = rescale_bounding_boxes(bbox, image.width, image.height)