added links to each paper results (replacing textbox with markdown)

app.py

@@ -73,7 +73,7 @@ def get_similar_paper(
     input_sentences = sent_tokenize(abstract_text_input)
     num_sents = len(input_sentences)
     
-    for aa, (tt, ab, ds) in enumerate(zip(titles, abstracts, doc_scores)):
+    for aa, (tt, ab, ds, url) in enumerate(zip(titles, abstracts, doc_scores, paper_urls)):
         # Compute sent-level and phrase-level affinity scores for each papers
         sent_ids, sent_scores, info, top_pairs_info = get_highlight_info(
             sent_model, 
@@ -96,7 +96,8 @@ def get_similar_paper(
             'doc_score': '%0.3f'%ds,
             'source_sentences': input_sentences,
             'highlight': word_scores,
-            'top_pairs': top_pairs_info
+            'top_pairs': top_pairs_info,
+            'url': url
         }
        
     end = time.time()
@@ -116,8 +117,9 @@ def get_similar_paper(
     summary_out = []
     for i in range(top_papers_show):
         out_tmp = [
-            gr.update(value=titles[i], visible=True), 
-            gr.update(value='%0.3f'%doc_scores[i], visible=True) # document affinity
+            #gr.update(value=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']
         for j in range(top_num_info_show):
@@ -173,7 +175,9 @@ def change_paper(selected_papers_radio, info={}):
         abstract = info[selected_papers_radio]['abstract']
         aff_score = info[selected_papers_radio]['doc_score']
         highlights = info[selected_papers_radio]['highlight']
-        return title, abstract, aff_score, highlights['0']
+        url = info[selected_papers_radio]['url']
+        title_out = '#### [%s](%s)'%(title, url) # output in format of markdown
+        return title_out, abstract, aff_score, highlights['0']
 
     else:
         return
@@ -206,7 +210,7 @@ Below we describe how to use the tool. Also feel free to check out the [video]()
 - Below the list of papers, we highlight relevant parts from the selected paper to different sentences of the submission abstract.
 - On the left, you will see individual sentences from the submission abstract to select from.
 - On the right, you will see the abstract of the selected paper, with **highlights** incidating relevant parts to the selected sentence.
-- **<span style="color:black;background-color:#DB7262;">Red highlights</span>**: sentences with high semantic similarity to the selected sentence.
+- **<span style="color:black;background-color:#DB7262;">Red highlights</span>**: sentences with high semantic similarity to the selected sentence. The darker the color, the higher the similarity.
 - **<span style="color:black;background-color:#65B5E3;">Blue highlights</span>**: phrases included in the selected sentence.
 - To see relevant parts in a different paper from the reviewer, select the new paper.
 -------
@@ -234,12 +238,11 @@ Below we describe how to use the tool. Also feel free to check out the [video]()
     # Paper title, score, and top-ranking sentence pairs -- two sentence pairs per paper, three papers
     ## ONE BLOCK OF INFO FOR A SINGLE PAPER
     ## PAPER1 
-    # TODO add link to each paper
     with gr.Row():
         with gr.Column(scale=3):
-            paper_title1 = gr.Textbox(label="From the reviewer's paper:", interactive=False, visible=False)
+            paper_title1 = gr.Markdown(value='', visible=False)
         with gr.Column(scale=1):
-            affinity1 = gr.Textbox(label='Affinity', interactive=False, value='', visible=False)
+            affinity1 = gr.Markdown(value='', visible=False)
     with gr.Row() as rel1_1:
         with gr.Column(scale=1):
             sent_pair_score1_1 = gr.Textbox(label='Sentence Relevance', interactive=False, value='', visible=False)
@@ -267,9 +270,10 @@ Below we describe how to use the tool. Also feel free to check out the [video]()
     ## PAPER 2
     with gr.Row():
         with gr.Column(scale=3):
-            paper_title2 = gr.Textbox(label="From the reviewer's paper:", interactive=False, visible=False)
+            paper_title2 = gr.Markdown(value='', visible=False)
         with gr.Column(scale=1):
-            affinity2 = gr.Textbox(label='Affinity', interactive=False, value='', visible=False)
+            #affinity2 = gr.Textbox(label='Affinity', interactive=False, value='', visible=False)
+            affinity2 = gr.Markdown(value='', visible=False)
     with gr.Row() as rel2_1:
         with gr.Column(scale=1):
             sent_pair_score2_1 = gr.Textbox(label='Sentence Relevance', interactive=False, value='', visible=False)
@@ -297,9 +301,10 @@ Below we describe how to use the tool. Also feel free to check out the [video]()
     ## PAPER 3 
     with gr.Row():
         with gr.Column(scale=3):
-            paper_title3 = gr.Textbox(label="From the reviewer's paper:", interactive=False, visible=False)
+            paper_title3 = gr.Markdown(value='', visible=False)
         with gr.Column(scale=1):
-            affinity3 = gr.Textbox(label='Affinity', interactive=False, value='', visible=False)
+            # affinity3 = gr.Textbox(label='Affinity', interactive=False, value='', visible=False)
+            affinity3 = gr.Markdown(value='', visible=False)
     with gr.Row() as rel3_1:
         with gr.Column(scale=1):
             sent_pair_score3_1 = gr.Textbox(label='Sentence Relevance', interactive=False, value='', visible=False)
@@ -336,7 +341,7 @@ Below we describe how to use the tool. Also feel free to check out the [video]()
     # selected paper information 
     with gr.Row(visible=False) as title_row:
         with gr.Column(scale=3):
-            paper_title = gr.Textbox(label='Title', interactive=False)
+            paper_title = gr.Markdown(value='')
         with gr.Column(scale=1):
             affinity= gr.Textbox(label='Affinity', interactive=False, value='')
     with gr.Row():