Update app.py

app.py

@@ -144,7 +144,8 @@ def submit_results(task: str, results_json):
         return gr.Warning(f"Error submitting results: {str(e)}")
 
 # Create the demo interface
-with gr.Blocks(css="""
+with gr.Blocks(
+    css="""
     .button-link {
         display: inline-block;
         padding: 0.5rem 1.5rem;
@@ -165,7 +166,8 @@ with gr.Blocks(css="""
         box-shadow: 0 3px 6px rgba(0,0,0,0.16), 0 3px 6px rgba(0,0,0,0.23);
         text-decoration: none;
     }
-""") as demo:
+    """
+).queue(default_concurrency_limit=20) as demo:  # Allow up to 20 concurrent requests by default
 
     gr.Image("./logo.png", show_label=False, container=False)
     
@@ -309,42 +311,58 @@ The goal of the Frugal AI Challenge is to encourage both academic and industry a
         webbrowser.open_new_tab(FORM_URL)
         return gr.Info("Opening submission form in new tab...")
 
-    # Set up event handlers
+    # Set up event handlers with specific queue configurations
     text_evaluate_btn.click(
         lambda url, route: evaluate_model(route.strip("/"), url),
         inputs=[text_space_url, text_route],
-        outputs=[text_accuracy, text_emissions, text_energy, text_results_json]
+        outputs=[text_accuracy, text_emissions, text_energy, text_results_json],
+        concurrency_limit=5,  # Allow 5 concurrent model evaluations
+        concurrency_id="eval_queue"  # Share evaluation queue across tasks
     )
     
     text_submit_btn.click(
         lambda results: submit_results("text", results),
         inputs=[text_results_json],
-        outputs=None
+        outputs=None,
+        concurrency_limit=10,  # Allow 10 concurrent submissions
+        concurrency_id="submit_queue"  # Share submission queue across tasks
     )
     
     image_evaluate_btn.click(
         lambda url, route: evaluate_model(route.strip("/"), url),
         inputs=[image_space_url, image_route],
-        outputs=[image_accuracy, image_emissions, image_energy, image_results_json]
+        outputs=[image_accuracy, image_emissions, image_energy, image_results_json],
+        concurrency_limit=5,  # Share same limit with text evaluation
+        concurrency_id="eval_queue"
     )
     
     image_submit_btn.click(
         lambda results: submit_results("image", results),
         inputs=[image_results_json],
-        outputs=None
+        outputs=None,
+        concurrency_limit=10,
+        concurrency_id="submit_queue"
     )
     
     audio_evaluate_btn.click(
         lambda url, route: evaluate_model(route.strip("/"), url),
         inputs=[audio_space_url, audio_route],
-        outputs=[audio_accuracy, audio_emissions, audio_energy, audio_results_json]
+        outputs=[audio_accuracy, audio_emissions, audio_energy, audio_results_json],
+        concurrency_limit=5,
+        concurrency_id="eval_queue"
     )
     
     audio_submit_btn.click(
         lambda results: submit_results("audio", results),
         inputs=[audio_results_json],
-        outputs=None
+        outputs=None,
+        concurrency_limit=10,
+        concurrency_id="submit_queue"
     )
 
 if __name__ == "__main__":
-    demo.launch() 
+    demo.launch(
+        server_name="0.0.0.0",
+        server_port=7860,
+        share=False
+    )