Update app.py

app.py

@@ -99,7 +99,6 @@ async def get_best_available_transcript(video_id):
         return None
 
 async def get_video_comments(video_id):
-   
     try:
         comments = []
         response = youtube_service.commentThreads().list(part='snippet', videoId=video_id, maxResults=100).execute()
@@ -123,9 +122,9 @@ async def generate_reply(comment, transcript):
         작성된 글의 마지막에 반드시 인삿말과 OpenFreeAI 라고 자신을 밝혀라.
         """
         prompt = f"{system_prompt}\n댓글: {comment}\n비디오 자막: {transcript}"
-        response = await hf_client.create_chat_completion(messages=[{"role": "system", "content": system_prompt}, {"role": "user", "content": comment}], max_tokens=150)
-        if response and response.choices:
-            return response.choices[0].text.strip()
+        response = hf_client.text_generation(prompt=prompt, max_length=150)
+        if response:
+            return response["generated_text"].strip()
     except Exception as e:
         logging.error(f"Error generating reply: {e}")
         return "답변을 생성할 수 없습니다."
@@ -136,11 +135,14 @@ async def create_thread_and_send_reply(message, video_id, comment, reply):
         embed = discord.Embed(description=f"**댓글**: {comment[0]}\n**답글**: {reply}")
         await thread.send(embed=embed)
         webhook_data = {"video_id": video_id, "replies": [{"comment": comment[0], "reply": reply, "comment_id": comment[1]}]}
-        await send_webhook_data(webhook_data)
-    except Exception as e:
-        logging.error(f"Error in thread creation and reply sending: {e}")
-
-async def send_webhook_data(data):
+        await send_webhook_data(webhook_data, self.session)
+    except discord.HTTPException as e:
+        if e.code == 160004:
+            logging.error("A thread has already been created for this message")
+        else:
+            logging.error(f"Error in thread creation and reply sending: {e}")
+
+async def send_webhook_data(data, session):
     data_json = json.dumps(data)
     for i in range(0, len(data_json), MAX_CHUNK_SIZE):
         chunk = data_json[i:i+MAX_CHUNK_SIZE]