Update app.py

app.py

@@ -1,8 +1,17 @@
 import os
 import gradio as gr
 import requests
-import inspect
 import pandas as pd
+import requests
+import openai
+from smolagents.tools import  Tool
+import pathlib
+from typing import Union, Optional
+import pandas as pd
+from dotenv import load_dotenv
+# Load environment variables from .env file
+load_dotenv()
+
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -12,13 +21,87 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 import os
-from smolagents import CodeAgent, LiteLLMModel, DuckDuckGoSearchTool, VisitWebpageTool, PythonInterpreterTool, SpeechToTextTool #, ImageCaptioningTool
+
+from smolagents import (
+    CodeAgent, 
+    DuckDuckGoSearchTool,
+    VisitWebpageTool, 
+    PythonInterpreterTool, 
+    SpeechToTextTool,
+    WikipediaSearchTool,
+    Tool,
+    LiteLLMModel
+)
+
+class ExcelToTextTool(Tool):
+    """Render an Excel worksheet as Markdown text."""
+
+    # ------------------------------------------------------------------
+    # Required smol‑agents metadata
+    # ------------------------------------------------------------------
+    name = "excel_to_text"
+    description = (
+        "Read an Excel file and return a Markdown table of the requested sheet. "
+        "Accepts either the sheet name or the zero-based index."
+    )
+
+    inputs = {
+        "excel_path": {
+            "type": "string",
+            "description": "Path to the Excel file (.xlsx / .xls).",
+        },
+        "sheet_name": {
+            "type": "string",
+            "description": (
+                "Worksheet name or zero‑based index *as a string* (optional; default first sheet)."
+            ),
+            "nullable": True,
+        },
+    }
+
+    output_type = "string"
+
+    # ------------------------------------------------------------------
+    # Core logic
+    # ------------------------------------------------------------------
+    def forward(
+            self,
+            excel_path: str,
+            sheet_name: Optional[str] = None,
+    ) -> str:
+        """Load *excel_path* and return the sheet as a Markdown table."""
+
+        path = pathlib.Path(excel_path).expanduser().resolve()
+        if not path.exists():
+            return f"Error: Excel file not found at {path}"
+
+        try:
+            # Interpret sheet identifier -----------------------------------
+            sheet: Union[str, int]
+            if sheet_name is None or sheet_name == "":
+                sheet = 0  # first sheet
+            else:
+                # If the user passed a numeric string (e.g. "1"), cast to int
+                sheet = int(sheet_name) if sheet_name.isdigit() else sheet_name
+
+            # Load worksheet ----------------------------------------------
+            df = pd.read_excel(path, sheet_name=sheet)
+
+            # Render to Markdown; fall back to tabulate if needed ---------
+            if hasattr(pd.DataFrame, "to_markdown"):
+                return df.to_markdown(index=False)
+            from tabulate import tabulate  # pragma: no cover – fallback path
+
+            return tabulate(df, headers="keys", tablefmt="github", showindex=False)
+
+        except Exception as exc:  # broad catch keeps the agent chat‑friendly
+            return f"Error reading Excel file: {exc}"
+
 
 class BasicAgent():
     def __init__(self):
         print("MyCustomAgent with SmolaAgent initialized.")
         
-        # Configuration du modèle Azure GPT-4o-mini
         self.model = LiteLLMModel(
             model_id="azure/gpt-4o",
             api_key=os.getenv("api_key_4o"),
@@ -26,19 +109,23 @@ class BasicAgent():
             api_version="2025-01-01-preview"
         )
         
+        
         # Outils disponibles
         tools = [
             DuckDuckGoSearchTool(),          # Recherche web (Wikipedia)
             VisitWebpageTool(),              # Visite de pages web
             PythonInterpreterTool(),                # Calculs, Excel, traitement de données
             SpeechToTextTool(),              # Speech to text
-            #ImageCaptioningTool(),           # Reconnaissance d'image
+            WikipediaSearchTool(),       # Recherche sur Wikipedia
+            ExcelToTextTool(),               # Outil pour lire des fichiers Excel
         ]
         
         # Créer l'agent Alfred avec les outils
         self.alfred = CodeAgent(
             tools=tools, 
-            model=self.model
+            model=self.model,
+            add_base_tools=True,
+            additional_authorized_imports=['pandas','numpy','csv','subprocess']
         )
         
         print("Alfred agent ready with tools!")
@@ -69,8 +156,7 @@ class BasicAgent():
             2. USE the appropriate tool:
                 - For mathematical calculations: use PythonCodeTool
                 - To read Excel/CSV files: use PythonCodeTool with pandas
-                - For information retrieval: use DuckDuckGoSearchTool, then VisitWebpageTool if needed
-                - To analyze images: use ImageCaptioningTool
+                - For information retrieval: use DuckDuckGoSearchTool, then VisitWebpageTool if needed or WikipediaSearchTool
                 - For speech-to-text: use SpeechToTextTool
                 - For data processing: use PythonCodeTool
                 - RETURN only the final answer, clearly and concisely.
@@ -78,12 +164,18 @@ class BasicAgent():
             If you cannot answer, simply say: "I cannot answer this question."
             
             Example answers:
-                - For a calculation: "42"
+                - For a calculation or number : "42"
                 - For a date: "March 15, 2023"
                 - For a name: "Albert Einstein"
-                - For a number: "1,234,567"
                 - For a list: "b, e"
             
+            Formatting rules:
+                - If it's a number, do not use commas or units unless explicitly required.
+                - If it's a string, do not use articles or abbreviations unless they are part of the correct literal.
+                - If it's a comma-separated list, return items in correct order like: a, b, c
+                - Do not add any quotation marks, punctuation, or extra text.
+                - Do not start your answer with any words. Just give the result.
+            
             Here is the question to process: {question}"""
 
             # Utiliser Alfred pour traiter la question