Update app.py

app.py

@@ -9,6 +9,10 @@ from typing_extensions import Annotated
 import random
 import groq
 
+from dotenv import load_dotenv
+
+load_dotenv(verbose=True)
+
 conn = mysql.connector.connect(
         host="www.ryhintl.com",
         user="smairuser",
@@ -20,7 +24,7 @@ conn = mysql.connector.connect(
 cursor = conn.cursor(dictionary=True)
 
 # MySQLに接続
-def get_api_keys():   
+'''def get_api_keys():   
     select_one_data_query = "SELECT * FROM agentic_apis_copy where api = 'GROQ_KEYS'"
     cursor.execute(select_one_data_query)
     result = cursor.fetchall()
@@ -34,11 +38,13 @@ mytokens = get_api_keys()
 
 tokens = eval("["+mytokens+"]")
 
-client = groq.Client(api_key=tokens[0])
+client = groq.Client(api_key=tokens[0])'''
+
+client = groq.Client(api_key=os.environ["GROQ_API_KEY"])
 
 def compare_result(eprag: str, llm: str):
     completion = client.chat.completions.create(
-            model="llama-3.3-70b-versatile",
+            model="openai/gpt-oss-120b",
             messages=[
                 {"role": "system", "content": "貴方は優秀なアシスタントです。必ず、日本語で答えてください。"},
                 {"role": "user", "content": eprag+"\n"+llm+"\n epragとllmの結果を比較分析してください。必ず、日本語で答えてください。"}
@@ -50,7 +56,7 @@ def compare_result(eprag: str, llm: str):
 
 def get_llm(prompt: str):
     completion = client.chat.completions.create(
-            model="llama-3.3-70b-versatile",
+            model="openai/gpt-oss-120b",
             messages=[
                 {"role": "system", "content": "貴方は優秀なアシスタントです。必ず、日本語で答えてください。"},
                 {"role": "user", "content": prompt}
@@ -134,7 +140,7 @@ def generate_blog_article(prompt):
     config_list.clear 
     config_list = [
         {"model": "llama-3.3-70b-versatile", "api_key": token, "api_type": "groq"},
-        {"model": "llama3-70b-8192", "api_key": token, "api_type": "groq"},
+        {"model": "openai/gpt-oss-120b", "api_key": token, "api_type": "groq"},
     ]
 
     print("config token: ",token)