no message

main.py

@@ -95,7 +95,7 @@ def preprocess_text(text: str) -> str:
     text = re.sub(r'[^\w\s]', '', text)
     return text
 
-def reduce_tokens(text: str) -> str:
+def reduce_tokens(text: str):
     # Process the text with spaCy
     doc = nlp(text)
     # Select sentences that might be more important - this is a simple heuristic
@@ -103,10 +103,10 @@ def reduce_tokens(text: str) -> str:
     for sent in doc.sents:
         if any(tok.dep_ == 'ROOT' for tok in sent):
             important_sentences.append(sent.text)
-        # Join selected sentences to form the reduced text
+    # Join selected sentences to form the reduced text
     reduced_text = ' '.join(important_sentences)
     # Tokenize the reduced text to count the tokens
-    reduced_doc = nlp(reduced_text)
+    reduced_doc = nlp(reduced_text)  # Ensure this line is correctly aligned
     token_count = len(reduced_doc)
     return reduced_text, token_count
 
@@ -116,8 +116,8 @@ async def summarize(request: TextRequest):
         processed_text = preprocess_text(request.text)
         reduced_text, token_count = reduce_tokens(processed_text)
         return {
-            "token_count": token_count,
-            "reduced_text": reduced_text
+            "reduced_text": reduced_text,
+            "token_count": token_count
         }
     
     except Exception as e: