Update app.py

app.py

@@ -216,10 +216,10 @@ async def generate_message_mistral_generate(prompt, max_retries=5):
         try:
             # Отправляем запрос к модели Qwen через Together API
             response = await async_client.chat.completions.create(
-                model="Qwen/Qwen2.5-72B-Instruct-Turbo",
+                model="Meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
                 messages=[{"role": "user", "content": prompt}],
                 temperature=0.8,      # Параметры можно настроить по необходимости
-                max_tokens=84
+                max_tokens=76
             )
 
             # Извлекаем и очищаем ответ
@@ -287,7 +287,7 @@ async def generate_message_mistral_check(prompt, max_retries=5):
         try:
             # Отправляем запрос к модели Qwen через Together API
             response = await async_client.chat.completions.create(
-                model="Qwen/Qwen2.5-72B-Instruct-Turbo",
+                model="Meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
                 messages=[{"role": "user", "content": prompt}],
             )
 
@@ -327,7 +327,7 @@ async def generate_message_mistral_check_2(prompt, max_retries=5):
         try:
             # Отправляем запрос к модели Qwen через Together API
             response = await async_client.chat.completions.create(
-                model="Qwen/Qwen2.5-72B-Instruct-Turbo",
+                model="Meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
                 messages=[{"role": "user", "content": prompt}],
             )
 
@@ -395,7 +395,7 @@ async def generate_message_mistral_check_3(prompt, max_retries=5):
         try:
             # Отправляем запрос к модели Qwen через Together API
             response = await async_client.chat.completions.create(
-                model="Qwen/Qwen2.5-72B-Instruct-Turbo",
+                model="Meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
                 messages=[{"role": "user", "content": prompt}],
             )
 
@@ -435,7 +435,7 @@ async def generate_message_mistral_check_4(prompt, max_retries=5):
         try:
             # Отправляем запрос к модели Qwen через Together API
             response = await async_client.chat.completions.create(
-                model="Qwen/Qwen2.5-72B-Instruct-Turbo",
+                model="Meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
                 messages=[{"role": "user", "content": prompt}],
             )
 
@@ -2040,4 +2040,4 @@ with gr.Blocks() as demo:
                 outputs=[non_personalized_messages, personalized_messages]
             )
 
-demo.launch()
+demo.launch()