Update app.py

app.py

@@ -292,45 +292,46 @@ def save_all_results_to_file(all_results, user_data):
     """
     Packages results and uploads them as a single JSON file to a Hugging Face Dataset.
     """
-    # 设置新的目标仓库
-    repo_id = "intersteller2887/Turing-test-web"
+    # IMPORTANT: Change this to your Hugging Face username and dataset repo name
+    repo_id = "intersteller2887/Turing-test-dataset"
     
-    # 生成文件名（可用年龄或其他信息标记）
+    # Create a unique filename for the submission
     username = user_data.get("age", "user")
     filename = f"submission_{username}_{pd.Timestamp.now().strftime('%Y%m%d_%H%M%S')}.json"
-    remote_path = f"Submissions/{filename}"  # 上传到 Submissions 文件夹中
-
-    # 打包数据
+    
+    # Package all data into a single dictionary
     final_data_package = {
         "user_info": user_data,
         "results": all_results
     }
+    
+    # Convert the dictionary to a JSON string in memory
     json_string = json.dumps(final_data_package, ensure_ascii=False, indent=4)
-
-    # 获取 Hugging Face token（确保你已在 Space Secrets 中设置）
+    
+    # Get the Hugging Face token from the environment secrets
     hf_token = os.getenv("HF_TOKEN")
 
     if not hf_token:
-        print("HF_TOKEN not found. Cannot upload to the Hub.")
+        print("HF_TOKEN not found. Cannot upload to the Hub. Please set it in Space secrets.")
         return
 
     try:
-        from huggingface_hub import HfApi
-        
-        # 上传 JSON 文件
+        # Instantiate the HfApi client
         api = HfApi()
+        
+        # Upload the JSON string as a file to the specified dataset repository
         api.upload_file(
             path_or_fileobj=bytes(json_string, "utf-8"),
-            path_in_repo=remote_path,
+            path_in_repo=f"submissions/{filename}",  # We recommend saving to a subfolder
             repo_id=repo_id,
             repo_type="dataset",
             token=hf_token,
             commit_message=f"Add new submission from {username}"
         )
-        print(f"Successfully uploaded to: {repo_id}/{remote_path}")
+        print(f"Successfully uploaded results to dataset: {repo_id}")
         
     except Exception as e:
-        print(f"Upload failed: {e}")
+        print(f"Error uploading to Hugging Face Hub: {e}")
 
 
 def toggle_reference_view(current):