Update app.py

app.py

@@ -9,10 +9,10 @@ import requests
 from openai import OpenAI, AsyncOpenAI
 
 clients = {
-    '32B (work in progress)': [OpenAI(api_key='123', base_url=os.getenv('MODEL_NAME_OR_PATH_32B')), os.getenv('MODEL_NAME_32B')],
-    '32B QWQ (experimental, without any additional tuning after LEP!)': [OpenAI(api_key='123', base_url=os.getenv('MODEL_NAME_OR_PATH_QWQ')), os.getenv('MODEL_NAME_QWQ')],
-    '7B (work in progress)': [OpenAI(api_key='123', base_url=os.getenv('MODEL_NAME_OR_PATH_7B')), 'RefalMachine/ruadapt_qwen2.5_7B_ext_u48_instruct'],
-    '3B': [OpenAI(api_key='123', base_url=os.getenv('MODEL_NAME_OR_PATH_3B')), 'RefalMachine/ruadapt_qwen2.5_3B_ext_u48_instruct_v4']
+    '32B (work in progress)': [OpenAI(api_key='123', base_url=os.getenv('MODEL_NAME_OR_PATH_32B')), requests.get(os.getenv('MODEL_NAME_OR_PATH_32B')).json()['data'][0]['id']],
+    '32B QWQ (experimental, without any additional tuning after LEP!)': [OpenAI(api_key='123', base_url=os.getenv('MODEL_NAME_OR_PATH_QWQ')), requests.get(os.getenv('MODEL_NAME_OR_PATH_32B')).json()['data'][0]['id']],
+    '7B (work in progress)': [OpenAI(api_key='123', base_url=os.getenv('MODEL_NAME_OR_PATH_7B')), requests.get(os.getenv('MODEL_NAME_OR_PATH_32B')).json()['data'][0]['id']],
+    '3B': [OpenAI(api_key='123', base_url=os.getenv('MODEL_NAME_OR_PATH_3B')), requests.get(os.getenv('MODEL_NAME_OR_PATH_32B')).json()['data'][0]['id']]
     }
 #client = InferenceClient(os.getenv('MODEL_NAME_OR_PATH'))