Update app.py

app.py

@@ -3,6 +3,7 @@ import logging
 import os
 import re
 import asyncio
+import json
 from huggingface_hub import InferenceClient
 from googleapiclient.discovery import build
 from google.oauth2.credentials import Credentials
@@ -15,6 +16,12 @@ from dotenv import load_dotenv
 # 환경 변수 로드
 load_dotenv()
 
+# JSON_TOKEN 환경 변수에서 credentials.json 내용을 읽어 파일로 저장
+json_token = os.getenv('JSON_TOKEN')
+credentials_path = 'credentials.json'
+with open(credentials_path, 'w') as f:
+    f.write(json_token)
+
 # 로깅 설정
 logging.basicConfig(level=logging.DEBUG, format='%(asctime)s:%(levelname)s:%(name)s:%(message)s', handlers=[logging.StreamHandler()])
 
@@ -29,13 +36,9 @@ intents.guild_messages = True
 hf_client = InferenceClient("CohereForAI/c4ai-command-r-plus", token=os.getenv("HF_TOKEN"))
 
 # YouTube API 키 설정 및 OAuth 2.0 인증 설정
-YOUTUBE_API_KEY = os.getenv("YOUTUBE_API_KEY")
 SCOPES = ["https://www.googleapis.com/auth/youtube.force-ssl"]
-creds = None
-
-# 환경변수 설정 (토큰을 저장할 파일 경로)
 TOKEN_PATH = 'token.json'
-CREDENTIALS_PATH = 'credentials.json'
+creds = None
 
 if os.path.exists(TOKEN_PATH):
     creds = Credentials.from_authorized_user_file(TOKEN_PATH, SCOPES)
@@ -44,7 +47,7 @@ if not creds or not creds.valid:
         creds.refresh(Request())
     else:
         flow = InstalledAppFlow.from_client_secrets_file(
-            CREDENTIALS_PATH, SCOPES)
+            credentials_path, SCOPES)
         creds = flow.run_local_server(port=0)
     with open(TOKEN_PATH, 'w') as token:
         token.write(creds.to_json())
@@ -172,7 +175,7 @@ async def generate_replies(comments, transcript):
         ]
         loop = asyncio.get_event_loop()
         response = await loop.run_in_executor(None, lambda: hf_client.chat_completion(
-            messages, max_tokens=400, temperature=0.7, top_p=0.85))  # max_tokens 값을 조정
+            messages, max_tokens=100, temperature=0.7, top_p=0.85))  # max_tokens 값을 조정
 
         if response.choices and response.choices[0].message:
             reply = response.choices[0].message['content'].strip()