Update api_server.py

api_server.py

@@ -96,7 +96,7 @@ check_memory_usage()
 # Initialize the Flask application
 app = Flask(__name__)
 # Initialize the ClipModel at the start
-clip_model = ClipModel()
+# clip_model = ClipModel()
 
 check_memory_usage()
 
@@ -158,9 +158,10 @@ def predict():
             element_list.append(element)
             
             for yolo_img in yolo_file: # 每張切圖yolo_img
-                top_k_words.append(clip_model.clip_result(yolo_img)) # CLIP預測3個結果(top_k_words)
-                encoded_images.append(image_to_base64(yolo_img))
-                print(f"**{yolo_img}:{top_k_words}**\n")
+                print("yolo _img:", yolo_img)
+                #top_k_words.append(clip_model.clip_result(yolo_img)) # CLIP預測3個結果(top_k_words)
+                #encoded_images.append(image_to_base64(yolo_img))
+                #print(f"**{yolo_img}:{top_k_words}**\n")
 
             # if element_counts[element] > 1: #某隻角色的數量>1
             #     yolo_path = f"{YOLO_DIR}/{message_id}/{element}"