Create app.py

app.py

@@ -0,0 +1,44 @@
+import pandas as pd
+import gradio as gr
+
+data = {
+    "Method": [
+        "OR-Tools", "ACO", "LKH3", "NN2Opt", "Tabu", 
+    ],
+    "TWCVRP": [
+        57.90, 48.82, 51.35, 46.67, 45.58,
+    ],
+    "TWCVRP": [
+        59.11, 42.89, 49.06, 36.59, 33.59, 
+    ]
+}
+
+df = pd.DataFrame(data)
+df['Average Score'] = df.iloc[:, 1:].mean(axis=1).round(2)
+df = df[['Method', 'Average Score'] + [col for col in df.columns if col not in ['Method', 'Average Score']]]
+
+def display_data():
+    return df
+
+with gr.Blocks() as demo:
+    # gr.Markdown("![camel icon](https://cdn-uploads.huggingface.co/production/uploads/656864e12d73834278a8dea7/n-XfVKd1xVywH_vgPyJyQ.png)", elem_id="camel-icon")  # Replace with actual camel icon URL
+    gr.Markdown("# **SVRP-Bench: Real-World Vehicle Routing Benchmark**")
+    gr.Markdown("""
+    This table shows the performance of different models across various tasks/datasets including CVRP and TWVRP. 
+    """)
+    with gr.Tabs(elem_classes="tab-buttons") as tabs:
+        with gr.TabItem("🏅 LLM Leaderboard", elem_id="llm-benchmark-tab-table", id=0):
+            # with gr.Row():
+                # with gr.Column():
+            gr.Dataframe(value=df, label="SVRP-Bench Model Performance", interactive=False)
+
+        with gr.TabItem("📤 How to Submit", elem_id="submission-tab", id=1):
+            gr.Markdown("""
+            ## Submission Instructions
+            To contribute your model's results to the SVRP-Bench leaderboard:
+            - **Via Email**:
+              - Send your results to **ahmed.heakl@mbzuai.ac.ae**, and we’ll add them to the leaderboard for you.
+            **We look forward to seeing your contributions!**
+            """)
+
+demo.launch()