descriptions

app.py

@@ -107,7 +107,7 @@ def predict(s1, chosen_model):
       return final_description
     
     max_pos = logits.index(max(logits))
-    markdown_description = f"# **{short_score_descriptions[max_pos]}** \n \n" + get_description(max_pos)
+    markdown_description = get_description(max_pos)
     scores = { short_score_descriptions[k]:v for k,v in enumerate(logits) }
 
     return markdown_description, scores
@@ -119,8 +119,8 @@ inputs = [
 ]
 
 outputs = [
+ gr.Label(label="Result"),
  gr.Markdown(),
- gr.Label(label="Result")
 ]