Add timestamp and username

app.py

@@ -12,7 +12,7 @@ from huggingface_hub import HfApi
 from transformers import CLIPTokenizer, AutoImageProcessor, AutoModelForImageClassification
 from safetensors.torch import load_file as safe_load
 import subprocess
-
+import datetime
 
 # --- Config ---
 HUB_REPO_ID = "CDL-AMLRT/OpenArenaLeaderboard"
@@ -156,12 +156,12 @@ def detect_with_model(image: Image.Image, prompt: str, username: str, model_name
         image_filename = f"{image_id}.jpg"
         image_path = os.path.join(image_dir, image_filename)
         image.save(image_path)
-
+        current_time = 
 
 
         csv_path = os.path.join("test", "leaderboard_entries.csv")
-        header = "file_name,prompt,label,model,split\n"
-        csv_line = f"test/fake/{image_filename},\"{prompt}\",fake,{model_name},test\n"
+        header = "file_name,prompt,label,model,split,user,timestamp\n"
+        csv_line = f"test/fake/{image_filename},\"{prompt}\",fake,{model_name},test,{username},{datetime.utcnow().isoformat()}\n"
         try:
             file_exists = os.path.exists(csv_path)
             with open(csv_path, "a", encoding="utf-8") as f:
@@ -227,8 +227,10 @@ with gr.Blocks(css=".gr-button {font-size: 16px !important}") as demo:
         username_input = gr.Textbox(label="Your Name", placeholder="Enter your name", interactive=True)
         model_input = gr.Textbox(label="Model used, specify the version (e.g., Imagen 3, Dall-e 3,  Midjourney 6).", placeholder="Name of the model used to generate the image", interactive=True)
 
+        # 🚫 Freeze this block: do not allow edits to the prompt input component's configuration.
         with gr.Row():
             prompt_input = gr.Textbox(
+                interactive=False,
                 label="Prompt to use",
                 placeholder="e.g., ...",
                 value="",