making links to open in new tab

app.py

@@ -123,7 +123,8 @@ def get_similar_paper(
     for i in range(top_papers_show):
         out_tmp = [
             #gr.update(value=titles[i], visible=True), 
-            gr.update(value="#### [%s](%s)"%(titles[i], paper_urls[i]), visible=True), 
+            gr.update(value="""<a href="%s" target="_blank"><h4>%s</h4></a>"""%(paper_urls[i], titles[i]), visible=True),
+            #gr.update(value="#### [%s](%s)"%(titles[i], paper_urls[i]), visible=True), 
             gr.update(value='#### Affinity: %0.3f'%doc_scores[i], visible=True) # document affinity
         ]
         tp = results[display_title[i]]['top_pairs']
@@ -190,14 +191,15 @@ def change_paper(selected_papers_radio, info={}):
         aff_score = info[selected_papers_radio]['doc_score']
         highlights = info[selected_papers_radio]['highlight']
         url = info[selected_papers_radio]['url']
-        title_out = '#### [%s](%s)'%(title, url) # output in format of markdown
+        title_out = """<a href="%s" target="_blank"><h4>%s</h4></a>"""%(url, title)
+        # title_out = '#### [%s](%s)'%(title, url) # output in format of markdown
         aff_score_out = '#### Affinity: %s'%aff_score
         return title_out, abstract, aff_score_out, highlights['0']
 
     else:
         return
 
-with gr.Blocks() as demo:
+with gr.Blocks(css='style.css') as demo:
     info = gr.State({})  # cached search results as a State variable shared throughout
     
     # Text description about the app and disclaimer
@@ -233,6 +235,21 @@ Below we describe how to use the tool. Also feel free to check out [this video](
         """
     ) 
     
+    # gr.HTML(
+    #     """
+
+    #     <div class="help-tip">
+    #         <p>This is the same tooltip, but with <b>HTML tags!</b> <a href="http://tutorialzine.com/">And a links!</a> You could do <i><strike>even more</strike></i>!</p>
+    #     </div>
+
+    #     <p>This time, the tooltip contains rich text. Try it!</p>
+
+    #     <p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed eu diam consectetur, facilisis lorem in, condimentum est. Etiam at leo quis ligula ullamcorper varius. Vivamus sed risus vestibulum, faucibus nibh sed, eleifend enim. Nulla semper augue sit amet velit ultrices consectetur. Sed tincidunt consectetur fermentum.</p>
+
+    #     """,
+    #     visible=True
+    # )
+    
     ### INPUT
     with gr.Row() as input_row:
         with gr.Column():

score.py

@@ -251,7 +251,7 @@ def get_highlight_info(model, text1, text2, K=None):
     return sent_ids, sent_scores, info, top_pairs_info
 
 ### Document-level operations
-
+# TODO Use specter_MFR
 def predict_docscore(doc_model, tokenizer, query, titles, abstracts, batch=20):
     # compute document scores for each papers