Update app.py

app.py

@@ -35,6 +35,15 @@ with demo:
     gr.Markdown("""A special shout-out to the 🤗 [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) 
                 team for generously sharing their code and best 
                 practices, ensuring that AI Developers have a valuable and enjoyable tool at their disposal.""")
+
+    client_ip = request.client.host
+                local_ip = socket.gethostbyname(socket.gethostbyname(""))
+                x_forwarded_for = request.headers.get('x-forwarded-for')
+                headers = request.headers
+                if x_forwarded_for:
+                    client_ip = x_forwarded_for
+                gr.Markdown(f"client ip: {client_ip}")
+                gr.Markdown(f"info: {x_forwarded_for}")
     
     with gr.Accordion("Chat with Top Models on the Leaderboard Here 💬", open=False):
        # import pdb
@@ -227,34 +236,6 @@ with demo:
             citation =gr.Textbox(value = CITATION_TEXT,
                                  lines=6,
                                  label="Use the following to cite this content")
-
-            import gradio as gr
-            import socket
-
-            def predict(text, request: gr.Request):
-                client_ip = request.client.host
-                local_ip = socket.gethostbyname(socket.gethostbyname(""))
-                x_forwarded_for = request.headers.get('x-forwarded-for')
-                headers = request.headers
-                if x_forwarded_for:
-                    client_ip = x_forwarded_for
-                print("client_ip", client_ip, text)
-                print("x_forwarded_for", x_forwarded_for)
-                return text, {"client_ip": client_ip,
-                              "local_ip": local_ip,
-                              "headers": headers}
-            
-            
-            with gr.Blocks() as block:
-                gr.Markdown("## Gradio get client IP")
-                text = gr.Textbox(label="dummy input")
-                output = gr.JSON({})
-                btn = gr.Button("Test")
-            
-                btn.click(predict, inputs=[text], outputs=[text, output])
-            
-            block.queue()
-            block.launch(share=False, server_name='0.0.0.0', show_api=True)
             
     gr.Markdown("""<div style="display: flex; justify-content: center;"> <p> Intel, the Intel logo and Gaudi are trademarks of Intel Corporation or its subsidiaries.
 *Other names and brands may be claimed as the property of others.