Create app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import os
+import gradio_leaderboard
+
+SPACE_REPO_ID = "optimum/llm-perf-leaderboard"
+
+hf_token = os.environ.get("HF_TOKEN")
+if not hf_token:
+    try:
+        import getpass
+        hf_token = getpass.getpass("Enter your Hugging Face token (input hidden): ")
+    except Exception:
+        hf_token = input("Enter your Hugging Face token: ")
+
+if not hf_token:
+    print("[ERROR] Hugging Face token is required. Set HF_TOKEN env variable or enter it when prompted.")
+    exit(1)
+
+remote_space = None
+load_error = None
+try:
+    remote_space = gr.load(f"spaces/{SPACE_REPO_ID}", hf_token=hf_token)
+except Exception as e:
+    load_error = str(e)
+    print(f"[ERROR] Failed to load remote Space: {load_error}")
+
+with gr.Blocks() as demo:
+    gr.Markdown(f"# Embedded Space: {SPACE_REPO_ID}")
+    if remote_space is not None:
+        remote_space.render()
+    else:
+        gr.Markdown(f"**Failed to load remote Space.**\n\nError: {load_error}")
+
+if __name__ == "__main__":
+    demo.launch()