Update app.py

app.py

@@ -3,8 +3,8 @@ from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns, SearchC
 import pandas as pd
 from apscheduler.schedulers.background import BackgroundScheduler
 from huggingface_hub import snapshot_download
-import os
-
+import os, json
+from src.envs import API
 
 from src.about import (
     CITATION_BUTTON_LABEL,
@@ -108,12 +108,6 @@ def init_leaderboard(dataframe):
     )
 
 
-# =================test
-if os.path.exists("./text.txt"):
-    print(open("./text.txt").read())
-else:
-    print("not exists")
-
 
 demo = gr.Blocks(css=custom_css)
 with demo:
@@ -162,16 +156,28 @@ with demo:
                   
                 def submit_eval(score, name, base_model, env, target_research, subset, link):  
                     # 在这里处理提交逻辑，可以将信息保存到数据库或进行其他处理  
-                    result = (  
-                        f"Score: {score}\n"  
-                        f"Name: {name}\n"  
-                        f"BaseModel: {base_model}\n"  
-                        f"Env: {env}\n"  
-                        f"Target-research: {target_research}\n"  
-                        f"Subset: {subset}\n"  
-                        f"Link: {link}"  
-                    ) 
-                    open("./text.txt", "w").write(result)
+                    result = { 
+                        "Score": score,
+                        "Name": name,
+                        "BaseModel": base_model, 
+                        "Env": env, 
+                        "Target-research": target_research,
+                        "Subset": subset,  
+                        "Link": link,
+                        "State": "Checking"
+                    }
+                    out_path = "test-output.json"
+                    with open(out_path, "w") as f:
+                        f.write(json.dumps(result))
+                
+                    print("Uploading eval file")
+                    API.upload_file(
+                        path_or_fileobj=out_path,
+                        path_in_repo=out_path,
+                        repo_id=QUEUE_REPO,
+                        repo_type="space",
+                        commit_message=f"Add {result} to checking queue",
+                    )
                     return result  
                   
                 submit_button.click(