debig

app.py

@@ -24,8 +24,8 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 class AgentState(TypedDict):
     messages: Annotated[list, add_messages]
-    question: str
-    answer: str
+    # question: str
+    # answer: str
 
 llm = ChatOpenAI(model_name="gpt-4.1-mini")
 
@@ -82,6 +82,7 @@ graph.add_conditional_edges(
 )
 compiled_graph = graph.compile()
 def respond_to_input(user_input: str) -> str:
+    print(f"Reached: User input: {user_input}")
     initial_state: AgentState = {"messages": []}
     return compiled_graph.invoke(initial_state, user_input)
 

tools.py

@@ -10,6 +10,7 @@ def web_search(query: str) -> str:
     Returns:
         The search results.
     """
+    print(f"Reached: web_search")
     ddg = DuckDuckGoSearchRun()
     return ddg.run(query)
 
@@ -25,6 +26,7 @@ def parse_excel(path: str, sheet_name: str = None) -> str:
       "[{'Name': 'Alice', 'Score': 95}, {'Name': 'Bob', 'Score': 88}, ...]"
     """
     # 1. Load the Excel workbook
+    print(f"Reached: parse_excel")      
     try:
         xls = pd.ExcelFile(path)
     except FileNotFoundError:
@@ -57,6 +59,7 @@ def ocr_image(path: str) -> str:
     - Expects that Tesseract is installed on the host machine.
     - If the file is missing or unreadable, returns an error string.
     """
+    print(f"Reached: ocr_image")
     file = Path(path)
     if not file.exists():
         return f"Error: could not find image at {path}"