Update app.py

app.py

@@ -3,22 +3,31 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-from smolagents import ToolCallingAgent, DuckDuckGoSearchTool, PythonInterpreterTool, OpenAIServerModel
+from smolagents import ToolCallingAgent, DuckDuckGoSearchTool, PythonInterpreterTool, OpenAIServerModel, HfApiModel
+from agentsTools.toolVisitWebpage import visit_webpage
+from agentsTools.tool_fetch_task_file import fetch_task_file
+from agentsTools.tool_read_excel_as_json import read_excel_as_json
+import os
 
-# (Keep Constants as is)
-# --- Constants ---
-DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+# ✅ Get Hugging Face API token from environment
+HF_TOKEN = os.getenv("HUGGINGFACEHUB_API_TOKEN")
 
 def get_hf_model():
+    """Return a Hugging Face Inference API model."""
     return HfApiModel(
-        model_id="HuggingFaceH4/zephyr-7b-beta",
+        model_id="HuggingFaceH4/zephyr-7b-beta",  # or mistralai/Mistral-7B-Instruct-v0.2
         api_key=HF_TOKEN,
         max_new_tokens=1024,
         temperature=0.2,
         timeout=120,
     )
 
-MODEL = get_hf_model()
+MODEL = get_hf_model() 
+
+# (Keep Constants as is)
+# --- Constants ---
+DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+
 
 class BasicAgent:
     def __init__(self):
@@ -26,11 +35,14 @@ class BasicAgent:
             tools=[
                 DuckDuckGoSearchTool(),
                 PythonInterpreterTool(),
+                visit_webpage,
+                fetch_task_file,
+                read_excel_as_json,
             ],
             model=MODEL,
-            max_steps=10
+            max_steps=10,
         )
-        print("BasicAgent initialized (smolagents).")
+        print("BasicAgent initialized (Hugging Face model).")
 
     def __call__(self, question: str, taskid: str) -> str:
         prompt = f"""