segmentation clear

app.py

@@ -123,7 +123,7 @@ def predict(s1, language, use_reranker, topk, steps):
 
     output_df = output_df.drop_duplicates(subset="segmentation", keep="first")
 
-    return top_segmentation, output_df
+    return "# **{0}**".format(top_segmentation), output_df
 
 
 inputs = [
@@ -135,7 +135,7 @@ inputs = [
 ]
 
 outputs = [
- gr.Textbox(label="Suggested segmentation"),
+ gr.Markdown(label="Suggested segmentation"),
  gr.DataFrame(label="Top alternatives"),
 ]