Update app.py

app.py

@@ -1,61 +1,46 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
 import yaml
 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 
-    Args:
-        arg1: the first argument
-        arg2: the second argument
-    """
-    return "What magic will you build ?"
-
+# Custom tool for constructing the search query
 @tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+def construct_course_search_query(interest: str, expertise: str, budget: str) -> str:
+    """Constructs a search query for finding AI courses based on user preferences.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        interest: The area of interest within AI (e.g., 'machine learning', 'deep learning').
+        expertise: The user's current level of expertise (e.g., 'beginner', 'intermediate').
+        budget: The budget available for the course (e.g., '$100', 'free').
     """
-    try:
-        # Create timezone object
-        tz = pytz.timezone(timezone)
-        # Get current time in that timezone
-        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
-        return f"The current local time in {timezone} is: {local_time}"
-    except Exception as e:
-        return f"Error fetching time for timezone '{timezone}': {str(e)}"
-
+    query = f"best {interest} courses for {expertise} under {budget}"
+    return query
 
+# Existing tools from the template
+search_tool = DuckDuckGoSearchTool()
 final_answer = FinalAnswerTool()
 
-# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
-# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
-
+# Model configuration (unchanged from template)
 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
-custom_role_conversions=None,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Llama',  # Note: May need to switch if overloaded
+    custom_role_conversions=None,
 )
 
-
-# Import tool from Hub
+# Import tool from Hub (unchanged from template)
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
+# Load prompt templates (unchanged from template)
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
+# Initialize the agent with the updated tools list
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[construct_course_search_query, search_tool, final_answer],  # Added custom tool
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -65,5 +50,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
 GradioUI(agent).launch()