Added logic to not include chatgpt results in case of a rate limit.

app.py

@@ -138,17 +138,23 @@ def search(query, similarity=False):
     ordered_keys = ["Title", "Author", "Publisher", "Summary"]
 
     for result in chatgpt_results:
-        # Parse the result
-        parsed_result = parse_result(result, ordered_keys=ordered_keys)
-
-        # Append the parsed result to the lists
-        titles.append(parsed_result["Title"])
-        authors.append(parsed_result["Author"])
-        publishers.append(parsed_result["Publisher"])
-        descriptions.append(parsed_result["Summary"])
-        images.append(
-            "https://bookstoreromanceday.org/wp-content/uploads/2020/08/book-cover-placeholder.png"
-        )
+        try:
+            # Parse the result
+            parsed_result = parse_result(result, ordered_keys=ordered_keys)
+ 
+            # Append the parsed result to the lists
+            titles.append(parsed_result["Title"])
+            authors.append(parsed_result["Author"])
+            publishers.append(parsed_result["Publisher"])
+            descriptions.append(parsed_result["Summary"])
+            images.append(
+                "https://bookstoreromanceday.org/wp-content/uploads/2020/08/book-cover-placeholder.png"
+            )
+
+        # In case the OpenAI API hits the limit
+        except IndexError:
+            break
+
 
     ### Prediction ###
     from transformers import (