Update app.py

app.py

@@ -8,6 +8,7 @@ import pytz
 import math
 import re
 import requests
+import traceback
 
 import sys
 print(f"--- Python version: {sys.version} ---")
@@ -150,11 +151,10 @@ def safe_calculator(expression: str) -> str:
 class HfAgentWrapper:
     def __init__(self):
         print("Initializing HfAgentWrapper...")
-        model_repo = "https://google/gemma-1.1-7b-it"  # Or your preferred model
+        model_repo = "google/gemma-1.1-7b-it"  # <<< --- CORRECTED MODEL REPO ID
         print(f"Loading HfAgent with model: {model_repo}")
 
         try:
-            # Ensure your tool functions have docstrings, as they are used for the description.
             if not get_current_time_in_timezone.__doc__:
                 raise ValueError("Tool 'get_current_time_in_timezone' is missing a docstring.")
             if not web_search.__doc__:
@@ -162,7 +162,6 @@ class HfAgentWrapper:
             if not safe_calculator.__doc__:
                 raise ValueError("Tool 'safe_calculator' is missing a docstring.")
 
-            # Manually wrap your functions into Tool objects using the Tool constructor directly
             time_tool_obj = Tool(
                 name=get_current_time_in_timezone.__name__,
                 func=get_current_time_in_timezone,
@@ -184,33 +183,31 @@ class HfAgentWrapper:
             tool_names_for_log = [tool.name for tool in self.actual_tools_for_agent]
             print(f"Prepared Tool objects with names: {tool_names_for_log} and descriptions.")
 
-            # Initialize HfAgent with the list of Tool objects
+            # Initialize HfAgent with the corrected model_repo and without the 'tools=[]' argument
             self.agent = HfAgent(
-                model_repo,
-                tools=[], # Attempt to provide an empty list for default tools
+                model_repo, # Uses the corrected model_repo string
                 additional_tools=self.actual_tools_for_agent
             )
-            # --- New robust way to inspect the toolbox ---
+            print(f"HfAgent successfully instantiated with model {model_repo}.")
+
+            # --- Robust toolbox inspection (keep this as it is) ---
             print(f"Inspecting self.agent.toolbox...")
+            # ... (the rest of your toolbox inspection code from the previous version) ...
             if hasattr(self.agent, 'toolbox'):
                 toolbox_attr = self.agent.toolbox
                 print(f"Type of self.agent.toolbox: {type(toolbox_attr)}")
 
                 if isinstance(toolbox_attr, dict):
+                    # ... (dictionary inspection logic) ...
                     print(f"Toolbox is a dict. Keys: {list(toolbox_attr.keys())}")
                     tools_info_from_dict = {}
-                    # Inspect a few items if it's a large dictionary
                     for key, value in list(toolbox_attr.items())[:5]: 
-                        tool_name_in_dict = key # Default to key if value has no 'name'
-                        if hasattr(value, 'name'):
-                            tool_name_in_dict = value.name
-                        elif isinstance(value, dict) and 'name' in value:
-                            tool_name_in_dict = value['name']
+                        tool_name_in_dict = key 
+                        if hasattr(value, 'name'): tool_name_in_dict = value.name
+                        elif isinstance(value, dict) and 'name' in value: tool_name_in_dict = value['name']
                         tools_info_from_dict[key] = {'name_attr': tool_name_in_dict, 'type': str(type(value))}
                     print(f"Sample of toolbox dict content: {tools_info_from_dict}")
-                    # Compare with the tools we intended to pass
                     print(f"Names of tools we passed to HfAgent: {[tool.name for tool in self.actual_tools_for_agent]}")
-
                 elif hasattr(toolbox_attr, 'tools') and callable(toolbox_attr.tools):
                     try:
                         tools_in_toolbox = toolbox_attr.tools()
@@ -221,15 +218,16 @@ class HfAgentWrapper:
                     print(f"Toolbox is of type {type(toolbox_attr)} but not a dict or recognized Toolbox object for this debug print.")
             else:
                 print("self.agent does not have a 'toolbox' attribute (this would be unexpected).")
-            # --- End of new robust toolbox inspection ---
+            # --- End of robust toolbox inspection ---
 
         except Exception as e:
             print(f"CRITICAL ERROR: Failed to initialize HfAgent: {e}")
-            import traceback # Import for full traceback
+            import traceback 
             print("Full traceback of HfAgent initialization error:")
             traceback.print_exc() 
             raise RuntimeError(f"HfAgent initialization failed: {e}") from e
 
+    # __call__ method remains the same
     def __call__(self, question: str) -> str:
         print(f"\n--- HfAgentWrapper received question (first 100 chars): {question[:100]}... ---")
         try:
@@ -238,7 +236,6 @@ class HfAgentWrapper:
             return str(answer)
         except Exception as e:
             print(f"ERROR: HfAgent execution failed for question '{question[:50]}...': {e}")
-            # It might be helpful to see the full traceback for agent execution errors too
             import traceback
             print("Full traceback of HfAgent execution error:")
             traceback.print_exc()