add histogram now

app.py

@@ -48,7 +48,7 @@ def run_perplexity_test(model_name, revision, precision):
     import gradio as gr
     
     if not model_name:
-        return "Please enter a model name.", gr.update()
+        return "Please enter a model name.", gr.update(), gr.update()
     
     try:
         # Use stderr for more reliable logging in HF Spaces
@@ -63,7 +63,7 @@ def run_perplexity_test(model_name, revision, precision):
         sys.stderr.flush()
         
         if success:
-            sys.stderr.write("Evaluation succeeded - updating results table\n")
+            sys.stderr.write("Evaluation succeeded - updating both results tables\n")
             sys.stderr.flush()
             
             # Get updated results
@@ -74,11 +74,11 @@ def run_perplexity_test(model_name, revision, precision):
 **Model**: {model_name}
 **Perplexity Score**: {result:.4f}
 
-🎉 **Results have been saved and the table below has been updated!**"""
+🎉 **Results have been saved and both tables have been updated!**"""
             
-            return success_msg, gr.update(value=updated_df)
+            return success_msg, gr.update(value=updated_df), gr.update(value=updated_df)
         else:
-            return f"❌ **Evaluation failed**: {result}", gr.update()
+            return f"❌ **Evaluation failed**: {result}", gr.update(), gr.update()
             
     except Exception as e:
         error_msg = str(e)
@@ -86,7 +86,7 @@ def run_perplexity_test(model_name, revision, precision):
         sys.stderr.write(f"Critical error in run_perplexity_test: {error_msg}\n")
         sys.stderr.write(f"Traceback: {traceback_str}\n")
         sys.stderr.flush()
-        return f"❌ **Critical error**: {error_msg}", gr.update()
+        return f"❌ **Critical error**: {error_msg}", gr.update(), gr.update()
 
 # Initialize results repository and directory
 try:
@@ -181,7 +181,7 @@ with demo:
             test_button.click(
                 run_perplexity_test,
                 [model_name, revision, precision],
-                [result, live_results_table]
+                [result, live_results_table, results_table]
             )
 
 demo.queue(default_concurrency_limit=5).launch()