First commit web search agent

app.py

@@ -1,4 +1,4 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, VisitWebpageTool, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
@@ -7,16 +7,29 @@ from tools.final_answer import FinalAnswerTool
 
 from Gradio_UI import GradioUI
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
+def web_search(query:str)-> str:
+    """A tool that can search on the internet
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        query: A string with the text to be searched for
     """
-    return "What magic will you build ?"
+    try:
+        result = DuckDuckGoSearchTool(query)
+        return result
+    excep Exception as e:
+        return f"Error searching on internet the query '{query}': {str(e)}"
+
+@tool
+def visit_web(url:str)-> str:
+    """A tool that obtains the content of a website in markdown form.
+    Args:
+        url: A string with the URL of the website
+    """
+    try:
+        content = VisitWebpageTool(url)
+        return content
+    excep Exception as e:
+        return f"Error fetching page '{url}' content: {str(e)}"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -42,7 +55,7 @@ final_answer = FinalAnswerTool()
 model = HfApiModel(
 max_tokens=2096,
 temperature=0.5,
-model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
+model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
 custom_role_conversions=None,
 )
 
@@ -55,7 +68,7 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, web_search, visit_web],
     max_steps=6,
     verbosity_level=1,
     grammar=None,