different submit function

app.py

@@ -13,35 +13,6 @@ import tempfile
 from datasets import load_dataset
 import io
 
-def make_submission(submitted_file: BinaryIO, user_state):
-    if not user_state:
-        raise gr.Error("You must submit your username to submit a file.")
-
-    csv_content = submitted_file.read().decode("utf-8")  # decode bytes to string
-
-    timestamp = datetime.utcnow().isoformat()
-    filename = f"{user_state}/{timestamp.replace(':', '-')}_{user_state}.json"
-
-    record = {
-        "submission_filename": filename,
-        "submission_time": timestamp,
-        "csv_content": csv_content,  # keep as string for JSON
-        "evaluated": False,
-        "user": user_state,
-    }
-
-    json_bytes = json.dumps(record, indent=2).encode("utf-8")
-    json_file = io.BytesIO(json_bytes)
-    json_file.name = filename  
-
-    API.upload_file(
-        path_or_fileobj=json_file,
-        path_in_repo=filename,
-        repo_id=submissions_repo,
-        repo_type="dataset",
-        commit_message=f"Add submission for {user_state} at {timestamp}"
-    )
-'''
 def make_submission(
     submitted_file: BinaryIO,
     user_state):
@@ -57,13 +28,8 @@ def make_submission(
     path_obj = Path(file_path)
     timestamp = datetime.utcnow().isoformat()
 
-    with (
-        path_obj.open("rb") as f_in,
-        tempfile.NamedTemporaryFile(delete=False, suffix=".json") as tmp_boundary,
-    ):
+    with (path_obj.open("rb") as f_in):
         file_content = f_in.read()
-        tmp_boundary.write(file_content)
-        tmp_boundary_path = Path(tmp_boundary.name)
 
         # write to dataset
         filename = f"{user_state}/{timestamp.replace(':', '-')}_{user_state}.json"
@@ -88,10 +54,8 @@ def make_submission(
         )
         Path(tmp_name).unlink()
 
-    tmp_boundary_path.unlink()
-
     return "✅ Your submission has been received! Sit tight and your scores will appear on the leaderboard shortly."
-'''
+
     
 def get_leaderboard_table(assay: str | None = None):
     # ds = load_dataset(results_repo, split='train', download_mode="force_redownload")