cancel log

main.py

@@ -73,17 +73,17 @@ def gradio_multi_model_detection(
     global_datetime = datetime.now()
     
     #寫主表log
-    document = {"log_style":"master",
-                "create_datetime": str(global_datetime), 
-                "image_files": image_files, 
-                "model_files": model_files,
-                "conf_threshold":conf_threshold,
-                "enable_mllm":enable_mllm,
-                "mllm_prompt":mllm_prompt,
-                "enable_career_prediction":enable_career_prediction # 新增職業預測狀態到 log
-                }
+    # document = {"log_style":"master",
+    #             "create_datetime": str(global_datetime), 
+    #             "image_files": image_files, 
+    #             "model_files": model_files,
+    #             "conf_threshold":conf_threshold,
+    #             "enable_mllm":enable_mllm,
+    #             "mllm_prompt":mllm_prompt,
+    #             "enable_career_prediction":enable_career_prediction # 新增職業預測狀態到 log
+    #             }
         
-    #mongo.insert_mongodb_log("multi_model_detection",document)  #寫入log方便日後查驗            
+    # mongo.insert_mongodb_log("multi_model_detection",document)  #寫入log方便日後查驗            
     
     if not image_files:
         yield {
@@ -230,16 +230,16 @@ def gradio_multi_model_detection(
             all_result_files.append(str(output_career_prediction_txt_path))
         
         #寫明細表log
-        document = {"log_style":"detail",
-                    "create_datetime": str(global_datetime), 
-                    "image_path": str(image_path), 
-                    "yolo_result": yolo_output_content, 
-                    "enable_mllm": enable_mllm,
-                    "mllm_prompt": mllm_prompt,                    
-                    "mllm_result": mllm_result_content,
-                    "enable_career_prediction": enable_career_prediction, # 新增職業預測狀態到 log
-                    "career_prediction_result": career_prediction_result_content # 新增職業預測結果到 log
-                    }
+        # document = {"log_style":"detail",
+        #             "create_datetime": str(global_datetime), 
+        #             "image_path": str(image_path), 
+        #             "yolo_result": yolo_output_content, 
+        #             "enable_mllm": enable_mllm,
+        #             "mllm_prompt": mllm_prompt,                    
+        #             "mllm_result": mllm_result_content,
+        #             "enable_career_prediction": enable_career_prediction, # 新增職業預測狀態到 log
+        #             "career_prediction_result": career_prediction_result_content # 新增職業預測結果到 log
+        #             }
         
         #mongo.insert_mongodb_log("multi_model_detection",document)  #寫入log方便日後查驗
 
@@ -284,7 +284,7 @@ def toggle_career_prediction_checkbox(is_enabled):
 # --- Gradio Interface ---
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("# ㊙️智慧影像與職業潛能分析 (YOLO + MLLM)")
-    gr.Markdown("上傳圖片與YOLO模型進行物件偵測，並可選用MLLM進行進階圖像理解。   ver.250830.1")
+    gr.Markdown("上傳圖片與YOLO模型進行物件偵測，並可選用MLLM進行進階圖像理解。   ver.250901.1")
     # mongo_uri = os.getenv('mongo_uri')
     # gr.Markdown(mongo_uri)