Update app.py

app.py

@@ -23,6 +23,7 @@ print(dir(_tools))
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+MODEL_ID = "Qwen/Qwen3-32B"
 
 def check_token_access():
     token = os.environ.get("HF_TOKEN", "")
@@ -30,7 +31,8 @@ def check_token_access():
         print("❌ No token found")
         return
     headers = {"Authorization": f"Bearer {token}"}
-    url = "https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct/resolve/main/config.json"
+    url = f"https://huggingface.co/{MODEL_ID}/resolve/main/config.json"
+    
     try:
         r = requests.get(url, headers=headers, timeout=10)
         print(f"🔍 Token test response: {r.status_code}")
@@ -70,13 +72,13 @@ class PreloadedPythonTool(PythonInterpreterTool):
 # --- Basic Model Definition ---
 # ----- THIS IS WHERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicModel:
-    def __init__(self, model_id="meta-llama/Llama-3.1-8B-Instruct", hf_token=""):
+    def __init__(self, model_id, hf_token=""):
         print("BasicAgent initialized.")
         print("ENV-HF_TOKEN-LEN", len(hf_token), file=sys.stderr)
         check_token_access()
         
         # Initialize the model
-        # model = HfApiModel(model_id="meta-llama/Llama-3.1-70B-Instruct",
+        # model = HfApiModel(model_id=model_id,
         #                   # format="text-generation",
         #                   token=os.environ["HF_TOKEN"], 
         #                   max_tokens=2048,
@@ -181,7 +183,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     # 1. Instantiate Agent ( modify this part to create your agent)
     try:
         # (1) Create the LLM wrapper
-        llm_model = BasicModel(hf_token=hf_token)
+        llm_model = BasicModel(model_id=MODEL_ID, hf_token=hf_token)
         # (2) Create the tools
         wiki_tool = CachedWikiTool()
         search_tool = CachedWebSearchTool()