Update app.py

app.py

@@ -292,46 +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.
     """
-    # IMPORTANT: Change this to your Hugging Face username and dataset repo name
-    repo_id = "Hu6ery/Turing-Test-Submissions"
+    # 设置新的目标仓库
+    repo_id = "intersteller2887/Turing-test-web"
     
-    # Create a unique filename for the submission
+    # 生成文件名（可用年龄或其他信息标记）
     username = user_data.get("age", "user")
     filename = f"submission_{username}_{pd.Timestamp.now().strftime('%Y%m%d_%H%M%S')}.json"
-    
-    # Package all data into a single dictionary
+    remote_path = f"Submissions/{filename}"  # 上传到 Submissions 文件夹中
+
+    # 打包数据
     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)
-    
-    # Get the Hugging Face token from the environment secrets
+
+    # 获取 Hugging Face token（确保你已在 Space Secrets 中设置）
     hf_token = os.getenv("HF_TOKEN")
 
     if not hf_token:
-        print("HF_TOKEN not found. Cannot upload to the Hub. Please set it in Space secrets.")
+        print("HF_TOKEN not found. Cannot upload to the Hub.")
         return
 
     try:
-        # Instantiate the HfApi client
-        api = HfApi()
+        from huggingface_hub import HfApi
         
-        # Upload the JSON string as a file to the specified dataset repository
+        # 上传 JSON 文件
+        api = HfApi()
         api.upload_file(
             path_or_fileobj=bytes(json_string, "utf-8"),
-            path_in_repo=f"data/{filename}",  # We recommend saving to a subfolder
+            path_in_repo=remote_path,
             repo_id=repo_id,
             repo_type="dataset",
             token=hf_token,
             commit_message=f"Add new submission from {username}"
         )
-        print(f"Successfully uploaded results to dataset: {repo_id}")
+        print(f"Successfully uploaded to: {repo_id}/{remote_path}")
         
     except Exception as e:
-        print(f"Error uploading to Hugging Face Hub: {e}")
+        print(f"Upload failed: {e}")
+
 
 def toggle_reference_view(current):
     if current == "参考": return gr.update(visible=False), gr.update(visible=True), gr.update(value="返回")