Update tools.py

tools.py

@@ -1,6 +1,8 @@
 from smolagents import DuckDuckGoSearchTool
 import random
 from huggingface_hub import list_models
+import pandas as pd
+import numpy as np
 
 def get_hub_stats(author: str) -> str:
     """Fetches the most downloaded model from a specific author on the Hugging Face Hub."""
@@ -114,4 +116,47 @@ def analyze_image(image_path: str, question: str = "What do you see in this imag
         return response.content
         
     except Exception as e:
-        return f"Error analyzing image: {e}"
+        return f"Error analyzing image: {e}"
+
+def read_excel_file(file_path: str) -> Dict[str, Any]:
+    """
+    Reads an Excel file and returns structured information about its contents
+    
+    Args:
+        file_path: Path to the Excel file
+        
+    Returns:
+        Dictionary containing file analysis
+    """
+    try:
+        # Read all sheets
+        excel_file = pd.ExcelFile(file_path)
+        sheet_names = excel_file.sheet_names
+        
+        result = {
+            "file_path": file_path,
+            "sheet_names": sheet_names,
+            "sheets_data": {},
+            "summary": {}
+        }
+        
+        for sheet_name in sheet_names:
+            df = pd.read_excel(file_path, sheet_name=sheet_name)
+            
+            # Basic info about the sheet
+            sheet_info = {
+                "shape": df.shape,
+                "columns": df.columns.tolist(),
+                "dtypes": df.dtypes.to_dict(),
+                "data": df,
+                "sample_data": df.head().to_dict(),
+                "numeric_columns": df.select_dtypes(include=[np.number]).columns.tolist(),
+                "text_columns": df.select_dtypes(include=['object']).columns.tolist()
+            }
+            
+            result["sheets_data"][sheet_name] = sheet_info
+        
+        return result
+        
+    except Exception as e:
+        return {"error": f"Failed to read Excel file: {str(e)}"}