use @spaces.GPU function directly as click handler

app.py

@@ -66,8 +66,8 @@ def analyze_logs(
     anomaly_percentile: float,
     range_min: float,
     range_max: float,
-    progress: gr.Progress = gr.Progress(),
-) -> tuple[str, str]:
+    progress=gr.Progress(),
+):
     """Analyze log content and return results.
     
     This function is decorated with @spaces.GPU to run on ZeroGPU.
@@ -157,12 +157,12 @@ def analyze_logs(
         logger.info(f"Token reduction: {input_tokens:,} → {output_tokens:,} ({reduction:.0f}%)")
         logger.info("=" * 60)
         
-        return result.output, label
+        return gr.update(value=result.output, label=label)
         
     except Exception as e:
         logger.error(f"Error during analysis: {str(e)}", exc_info=True)
         error_msg = f"Analysis failed: {str(e)}"
-        return error_msg, "Error"
+        return gr.update(value=error_msg, label="Error")
     finally:
         temp_path.unlink(missing_ok=True)
         logger.info("Temporary file cleaned up")
@@ -345,12 +345,10 @@ result = analyzer.analyze_file(Path("system.log"))
         load_sample_btn.click(fn=load_sample_log, outputs=[log_input])
         clear_btn.click(fn=lambda: "", outputs=[log_input])
         
-        def run_analysis(log_content, window_size, k_neighbors, mode, anomaly_percentile, range_min, range_max, progress=gr.Progress()):
-            output, label = analyze_logs(log_content, window_size, k_neighbors, mode, anomaly_percentile, range_min, range_max, progress)
-            return gr.update(value=output, label=label)
-        
+        # Use analyze_logs directly - it's decorated with @spaces.GPU
+        # Don't wrap it in another function or ZeroGPU won't allocate GPU properly
         analyze_btn.click(
-            fn=run_analysis,
+            fn=analyze_logs,
             inputs=[log_input, window_size, k_neighbors, mode_select, anomaly_percentile, range_min, range_max],
             outputs=[output_text],
         )