fix most frequent phrase

app.py

@@ -200,7 +200,7 @@ with gr.Blocks() as app:
         els_results = perform_els_search(step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, merge_results, include_torah, include_bible, include_quran)
 
         # --- Network Search Integration ---
-        updated_els_results = []  # List to store updated results with most frequent phrase
+        updated_els_results = []
         for result in els_results:
             print("DEBUG: Result from perform_els_search:", result)
             try:
@@ -212,21 +212,32 @@ with gr.Blocks() as app:
             max_words = len(result['result_text'].split())
             matching_phrases = search_gematria_in_db(gematria_sum, max_words)
 
-            # Find most frequent phrase for this specific result
-            most_frequent_phrase = get_most_frequent_phrase(matching_phrases)
+            # Iteratively increase max_words if no results are found
+            max_words_limit = 20  # Set a limit for max_words
+            while not matching_phrases and max_words < max_words_limit:
+                max_words += 1
+                matching_phrases = search_gematria_in_db(gematria_sum, max_words)
+
+            # Find most frequent phrase or first phrase with lowest word count
+            if matching_phrases:
+                most_frequent_phrase = get_most_frequent_phrase(matching_phrases)
+            else:
+                # Sort initial results by word count and take the first phrase
+                sorted_results = sorted(search_gematria_in_db(gematria_sum, max_words_limit), key=lambda x: len(x[0].split()))
+                most_frequent_phrase = sorted_results[0][0] if sorted_results else ""
 
             # Add most frequent phrase to the result dictionary
             result['Most Frequent Phrase'] = most_frequent_phrase
 
-            updated_els_results.append(result)  # Append updated result to the list
+            updated_els_results.append(result)
 
         # --- Prepare Dataframe ---
-        df = pd.DataFrame(updated_els_results)  # Create DataFrame from updated results
+        df = pd.DataFrame(updated_els_results)
         df.index = range(1, len(df) + 1)
         df.reset_index(inplace=True)
         df.rename(columns={'index': 'Result Number'}, inplace=True)
 
-        return df, most_frequent_phrase  # Note: most_frequent_phrase here will be from the last iteration, but it's not used for the DataFrame
+        return df, most_frequent_phrase