fix title and remove absent values from the figure

app.py

@@ -136,11 +136,18 @@ def predict(image, age, region, cancer_history, skin_cancer_history, bleed, hurt
     accumulated_features = {}
     
     for step_name, new_features in steps:
+        skip_feature = False
+        for key, value in new_features.items():
+            # I had to add this ugly "None" option in the select ;/
+            if value == "None" or value is None or value == []:
+                skip_feature = True 
+
+        if skip_feature:
+            continue
         steps_labels.append(step_name)
         accumulated_features.update(new_features)
         
         metadata_vector = np.zeros(len(_metadata_columns), dtype=np.float32)
-        
         if "age" in accumulated_features and accumulated_features["age"] is not None:
              if "age" in _metadata_columns:
                 val = accumulated_features["age"]
@@ -183,7 +190,7 @@ def clear_func():
 
 with gr.Blocks() as demo:
     with gr.Row():
-        gr.Markdown("# PRISM: A Clinically Interpretable Stepwise Framework for Multimodal Skin Cancer Diagnosis (DOI: TODO)")
+        gr.Markdown("# PRISM: A Clinically Interpretable Stepwise Framework for Multimodal Skin Cancer Diagnosis")
               
     with gr.Row():
         with gr.Column():