Fix: modified to add submission form

app.py

@@ -1,14 +1,35 @@
 import gradio as gr
 import pandas as pd
 
-df = pd.read_csv("results.csv")
+CSV_PATH = "results.csv"
 
-df["Hugging Face Link"] = df["Hugging Face Link"].apply(
-    lambda url: f'<a href="{url}" target="_blank">{url.split("/")[-1]}</a>'
-)
+# 기존 데이터 불러오기
+df = pd.read_csv(CSV_PATH)
+
+def submit(model, acc, f1, time, link):
+    new_row = {
+        "Model Name": model,
+        "Accuracy": float(acc),
+        "F1 Score": float(f1),
+        "Inference Time (s)": float(time),
+        "Hugging Face Link": link
+    }
+    # 기존 + 새로운 데이터
+    updated = pd.concat([df, pd.DataFrame([new_row])], ignore_index=True)
+    updated.to_csv(CSV_PATH, index=False)
+    return updated
 
 with gr.Blocks() as demo:
     gr.Markdown("# 📊 Model Leaderboard")
-    gr.Dataframe(value=df, headers=list(df.columns), label="Leaderboard", interactive=False)
+    with gr.Row():
+        model = gr.Textbox(label="Model Name")
+        acc = gr.Textbox(label="Accuracy")
+        f1 = gr.Textbox(label="F1 Score")
+        time = gr.Textbox(label="Inference Time (s)")
+        link = gr.Textbox(label="Hugging Face Link")
+    submit_btn = gr.Button("Submit Result")
+    output_df = gr.Dataframe(value=df, headers=list(df.columns), interactive=False)
+
+    submit_btn.click(fn=submit, inputs=[model, acc, f1, time, link], outputs=output_df)
 
 demo.launch()