Update app.py

app.py

@@ -508,19 +508,23 @@ def get_sentence(history, chatbot_role,llm_model,system_prompt=""):
                 yield (sentence, history)
 
     # return that final sentence token
-    last_sentence = nltk.sent_tokenize(history[-1][1].replace("\n", " ").strip())[-1]
-    sentence_hash = hash(last_sentence)
-    if sentence_hash not in sentence_hash_list:
-        if stored_sentence is not None and stored_sentence_hash is not None:
-            last_sentence = stored_sentence + last_sentence
-            stored_sentence = stored_sentence_hash = None
-            print("Last Sentence with stored:",last_sentence)
+    try:
+        last_sentence = nltk.sent_tokenize(history[-1][1].replace("\n", " ").strip())[-1]
+        sentence_hash = hash(last_sentence)
+        if sentence_hash not in sentence_hash_list:
+            if stored_sentence is not None and stored_sentence_hash is not None:
+                last_sentence = stored_sentence + last_sentence
+                stored_sentence = stored_sentence_hash = None
+                print("Last Sentence with stored:",last_sentence)
+        
+            sentence_hash_list.append(sentence_hash)
+            sentence_list.append(last_sentence)
+            print("Last Sentence: ", last_sentence)
     
-        sentence_hash_list.append(sentence_hash)
-        sentence_list.append(last_sentence)
-        print("Last Sentence: ", last_sentence)
+            yield (last_sentence, history)
+    except:
+        print("ERROR on last sentence history is :", history)
 
-        yield (last_sentence, history)
 
 from scipy.io.wavfile import write
 from pydub import AudioSegment