Merge branch 'main' of https://github.com/SPARCS-Service-Hackathon-20…

…24/A3-Backend

src/gpt/utils.py

@@ -1,6 +1,7 @@
 import openai
 from dotenv import load_dotenv
 import os
+from kss import split_sentences
 
 # Load environment variables from .env file
 load_dotenv()
@@ -27,8 +28,8 @@ def generate_response(input_messages):
             # max_tokens=200,  # Adjust based on the length of response you expect; keep it short for 1-3 phrases
         )
 
-        reply = completion.choices[0].message.content
-        return reply
+        replies = split_sentences(completion.choices[0].message.content)
+        return replies
     except Exception as e:
         print(f"An error occurred: {e}")
         return None

src/routers/question.py

@@ -91,12 +91,17 @@ async def make_followed_question(parent_id: int, db: Session, user_id: int):
         p = db.query(LQuestions).filter(LQuestions.question_id == p.parents_id).first()
     context.reverse()
     print(context)
-    content = generate_response(context) #여기에 ai로 새 꼬리질문 만들어 넣기
-    print(content)
-    followed = LQuestions(user_id=parent.user_id, parents_id=parent_id, content=content, is_answerable=True, level=parent.level+1, chapter_id=parent.chapter_id, next_question_id=parent.next_question_id)
-    db.add(followed)
-    db.commit()
-    db.refresh(followed)
+    contents = generate_response(context) #여기에 ai로 새 꼬리질문 만들어 넣기
+    print(contents)
+    for content in contents:
+        if content == contents[-1]:
+            is_answerable = True
+        else:
+            is_answerable = False
+        followed = LQuestions(user_id=user_id, parents_id=parent_id, content=content, is_answerable=is_answerable, level=parent.level+1, chapter_id=parent.chapter_id, next_question_id=parent.next_question_id)
+        db.add(followed)
+        db.commit()
+        db.refresh(followed)
     return {
         'status': 'success',
         'id': followed.question_id,