Update app.py

app.py

@@ -68,7 +68,8 @@ def inference(query, model="miread_contrastive"):
     min_score = min(scores)
     max_score = max(scores)
     def normaliser(x): return round(1 - (x-min_score)/max_score, 3)
-    for i, match in enumerate(matches):
+    i = 1
+    for match in matches:
         doc = match[0]
         score = round(normaliser(round(match[1].item(), 3)), 3)
         title = doc.metadata['title']
@@ -77,14 +78,14 @@ def inference(query, model="miread_contrastive"):
         link = doc.metadata.get('link', 'None')
 
         # For authors
-        record = [i+1,
-                  score,
+        record = [score,
                   author,
                   title,
                   link,
                   date]
         if auth_counts.get(author, 0) < 2:
-            n_table.append(record)
+            n_table.append([i,]+record)
+            i += 1
             if auth_counts.get(author, 0) == 0:
                 auth_counts[author] = 1
             else: