Update app.py

app.py

@@ -1,4 +1,3 @@
-# app.py
 import gradio as gr
 import json
 from evaluate import evaluate_model
@@ -17,16 +16,30 @@ except FileNotFoundError:
 
 def submit_model(model_name):
     score = evaluate_model(model_name, dataset)
-    leaderboard.append({
-        "model": model_name,
-        "score": round(score * 100, 2),
-        "date": datetime.now().strftime("%Y-%m-%d")
-    })
+    score = round(score * 100, 2)
+    date = datetime.now().strftime("%Y-%m-%d")
+
+    # Update existing model or add new one
+    for entry in leaderboard:
+        if entry["model"] == model_name:
+            entry["score"] = score
+            entry["date"] = date
+            break
+    else:
+        leaderboard.append({
+            "model": model_name,
+            "score": score,
+            "date": date
+        })
+
+    # Sort by score descending
     leaderboard.sort(key=lambda x: x["score"], reverse=True)
+
+    # Save leaderboard
     with open("leaderboard.json", "w", encoding="utf-8") as f:
         json.dump(leaderboard, f, ensure_ascii=False, indent=2)
-    return update_table()[1]  # Only rows
 
+    return update_table()[1]  # Return just rows for gr.Dataframe
 
 def update_table():
     headers = ["🏅 Rank", "📌 Model Name", "🎯 Score", "📆 Date"]
@@ -37,15 +50,19 @@ with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
     gr.Markdown("""
     # 🏆 Persian Embedding Leaderboard
     Submit your model to evaluate on the [arshiaafshani/persian-natural-fluently](https://huggingface.co/datasets/arshiaafshani/persian-natural-fluently) dataset.
+    Your submission will update the public leaderboard if it outperforms or modifies your previous result.
     """)
 
     with gr.Row():
         model_input = gr.Textbox(label="Enter HuggingFace Model Name", placeholder="e.g. HooshvareLab/bert-fa-base-uncased")
         submit_btn = gr.Button("Evaluate & Submit")
 
-    table = gr.Dataframe(headers=["🏅 Rank", "📌 Model Name", "🎯 Score", "📆 Date"],
-                         value=update_table()[1],
-                         interactive=False)
+    table = gr.Dataframe(
+        headers=["🏅 Rank", "📌 Model Name", "🎯 Score", "📆 Date"],
+        value=update_table()[1],
+        interactive=False,
+        label="📊 Current Leaderboard"
+    )
 
     submit_btn.click(fn=submit_model, inputs=model_input, outputs=table)