Trial and error.

app.py

@@ -16,55 +16,21 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
-        # Try multiple models in order of preference with better error handling
-        #self.model_name = "TinyLlama/TinyLlama-1.1B-Chat-v1.0"
-        self.model_name = "https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud"
+        # Use Qwen2.5-7B-Instruct model
+        self.model_name = "Qwen/Qwen2.5-7B-Instruct"
         self.hf_token = os.getenv("HF_TOKEN")  # Get token from environment if available
 
-        # List of fallback models (free models that don't require authentication)
-        self.fallback_models = []
-
         try:
-            print(f"Attempting to initialize with model: {self.model_name}")
+            print(f"Initializing model: {self.model_name}")
             self.hf_client = InferenceClient(
                 model=self.model_name,
                 token=self.hf_token
             )
-            # Test the client with a simple prompt to verify it works
-            test_response = self.hf_client.text_generation(
-                prompt="Hello, this is a test.",
-                max_new_tokens=10
-            )
             print(f"Model initialized successfully: {self.model_name}")
-
         except Exception as e:
-            print(f"Error initializing primary model ({self.model_name}): {e}")
+            print(f"Error initializing model ({self.model_name}): {e}")
             self.hf_client = None
-
-            # Try fallback models
-            for fallback_model in self.fallback_models:
-                try:
-                    print(f"Attempting fallback model: {fallback_model}")
-                    self.hf_client = InferenceClient(
-                        model=fallback_model,
-                        token=self.hf_token
-                    )
-                    # Quick test to verify the model works
-                    test_response = self.hf_client.text_generation(
-                        prompt="Hello, this is a test.",
-                        max_new_tokens=5
-                    )
-                    print(f"Successfully initialized fallback model: {fallback_model}")
-                    self.model_name = fallback_model
-                    break
-                except Exception as fallback_error:
-                    print(f"Fallback model failed ({fallback_model}): {fallback_error}")
-                    self.hf_client = None
-
-            # If all models fail, we'll use a rule-based response generator
-            if self.hf_client is None:
-                print("WARNING: All models failed. Using rule-based fallback for responses.")
-                self.model_name = "rule-based-fallback"
+            print("WARNING: Model initialization failed. Agent may not function properly.")
 
     def break_down_question(self, question: str) -> list:
         """
@@ -265,6 +231,8 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
     print(agent_code)
 
+    return
+
     # 2. Fetch Questions
     print(f"Fetching questions from: {questions_url}")
     try: