update

app.py

@@ -26,36 +26,6 @@ import whisper
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-
-@tool 
-def extract_table_from_html(url: str) -> list:
-    """
-    A tool that extracts table data from a website and returns them as pandas DataFrames. 
-    Example usecases include extracting tables from Wikipedia pages, HTML emails, or other web content.
-    Args:
-        url (str): URL to a webpage.
-    Returns:
-        list: A list of pandas DataFrames, where each DataFrame represents a table found 
-              in the HTML content. Returns an empty list if no tables are found.
-    """
-    import pandas as pd
-    
-    try:
-        # Extract tables using pandas
-        tables = pd.read_html(url)
-        
-        # Return the list of DataFrames directly
-        return tables if tables else []
-        
-    except ValueError as e:
-        if "No tables found" in str(e):
-            # Return empty list instead of raising error
-            return []
-        else:
-            raise ValueError(f"Error extracting tables from HTML content: {e}")
-    except Exception as e:
-        raise Exception(f"Failed to extract tables from HTML content: {e}")
-
 @tool
 def audio_to_text(file_path: str) -> str:
     """
@@ -201,7 +171,7 @@ class BasicAgent:
         ) 
         
         self.code_agent = CodeAgent(
-            tools=[VisitWebpageTool(), GoogleSearchTool("serper"), get_file, audio_to_text, extract_table_from_html],
+            tools=[VisitWebpageTool(), GoogleSearchTool("serper"), get_file, audio_to_text],
             model=InferenceClientModel(
                 model_id="Qwen/Qwen2.5-Coder-32B-Instruct"
             ),