Add submission form to leaderboard
Browse files
app.py
CHANGED
|
@@ -1,35 +1,57 @@
|
|
| 1 |
import gradio as gr
|
| 2 |
import pandas as pd
|
|
|
|
| 3 |
|
| 4 |
CSV_PATH = "results.csv"
|
| 5 |
|
| 6 |
-
#
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
"Accuracy": float(acc),
|
| 13 |
-
"F1 Score": float(f1),
|
| 14 |
-
"Inference Time (s)": float(time),
|
| 15 |
-
"Hugging Face Link": link
|
| 16 |
-
}
|
| 17 |
-
# 기존 + 새로운 데이터
|
| 18 |
-
updated = pd.concat([df, pd.DataFrame([new_row])], ignore_index=True)
|
| 19 |
-
updated.to_csv(CSV_PATH, index=False)
|
| 20 |
-
return updated
|
| 21 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
with gr.Blocks() as demo:
|
| 23 |
-
gr.Markdown("# 📊 Model Leaderboard")
|
|
|
|
| 24 |
with gr.Row():
|
| 25 |
model = gr.Textbox(label="Model Name")
|
| 26 |
-
acc = gr.Textbox(label="Accuracy")
|
| 27 |
-
f1 = gr.Textbox(label="F1 Score")
|
| 28 |
time = gr.Textbox(label="Inference Time (s)")
|
| 29 |
link = gr.Textbox(label="Hugging Face Link")
|
|
|
|
| 30 |
submit_btn = gr.Button("Submit Result")
|
| 31 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
|
| 33 |
-
submit_btn.click(
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
|
| 35 |
demo.launch()
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
import pandas as pd
|
| 3 |
+
import os
|
| 4 |
|
| 5 |
CSV_PATH = "results.csv"
|
| 6 |
|
| 7 |
+
# CSV가 없으면 빈 테이블 생성
|
| 8 |
+
if not os.path.exists(CSV_PATH):
|
| 9 |
+
df_init = pd.DataFrame(columns=[
|
| 10 |
+
"Model Name", "Accuracy", "F1 Score", "Inference Time (s)", "Hugging Face Link"
|
| 11 |
+
])
|
| 12 |
+
df_init.to_csv(CSV_PATH, index=False)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
+
# 제출 처리 함수
|
| 15 |
+
def submit_result(model, acc, f1, time, link):
|
| 16 |
+
try:
|
| 17 |
+
df = pd.read_csv(CSV_PATH)
|
| 18 |
+
new_row = {
|
| 19 |
+
"Model Name": model.strip(),
|
| 20 |
+
"Accuracy": float(acc),
|
| 21 |
+
"F1 Score": float(f1),
|
| 22 |
+
"Inference Time (s)": float(time),
|
| 23 |
+
"Hugging Face Link": link.strip()
|
| 24 |
+
}
|
| 25 |
+
updated_df = pd.concat([df, pd.DataFrame([new_row])], ignore_index=True)
|
| 26 |
+
updated_df.to_csv(CSV_PATH, index=False)
|
| 27 |
+
return "✅ Submitted!", updated_df
|
| 28 |
+
except Exception as e:
|
| 29 |
+
return f"❌ Error: {str(e)}", pd.read_csv(CSV_PATH)
|
| 30 |
+
|
| 31 |
+
# Gradio 앱
|
| 32 |
with gr.Blocks() as demo:
|
| 33 |
+
gr.Markdown("# 📊 Model Leaderboard + Submission")
|
| 34 |
+
|
| 35 |
with gr.Row():
|
| 36 |
model = gr.Textbox(label="Model Name")
|
| 37 |
+
acc = gr.Textbox(label="Accuracy (e.g. 0.89)")
|
| 38 |
+
f1 = gr.Textbox(label="F1 Score (e.g. 0.87)")
|
| 39 |
time = gr.Textbox(label="Inference Time (s)")
|
| 40 |
link = gr.Textbox(label="Hugging Face Link")
|
| 41 |
+
|
| 42 |
submit_btn = gr.Button("Submit Result")
|
| 43 |
+
status = gr.Textbox(label="Submission Status", interactive=False)
|
| 44 |
+
table = gr.Dataframe(
|
| 45 |
+
value=pd.read_csv(CSV_PATH),
|
| 46 |
+
headers=["Model Name", "Accuracy", "F1 Score", "Inference Time (s)", "Hugging Face Link"],
|
| 47 |
+
interactive=False,
|
| 48 |
+
label="Current Leaderboard"
|
| 49 |
+
)
|
| 50 |
|
| 51 |
+
submit_btn.click(
|
| 52 |
+
fn=submit_result,
|
| 53 |
+
inputs=[model, acc, f1, time, link],
|
| 54 |
+
outputs=[status, table]
|
| 55 |
+
)
|
| 56 |
|
| 57 |
demo.launch()
|