Update functions.py

functions.py

@@ -337,8 +337,8 @@ def chunk_and_preprocess_text(text, model_name= 'philschmid/flan-t5-base-samsum'
     count = -1
     
     for sentence in sentences:
-    count += 1
-    combined_length = len(tokenizer.tokenize(sentence)) + length # add the no. of sentence tokens to the length counter
+        count += 1
+        combined_length = len(tokenizer.tokenize(sentence)) + length # add the no. of sentence tokens to the length counter
     
     if combined_length  <= tokenizer.max_len_single_sentence: # if it doesn't exceed
         chunk += sentence + " " # add the sentence to the chunk