Update app.py

app.py

@@ -1,61 +1,91 @@
-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 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 !
+# Updated with a useful function that provides information about a location
 @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 my_custom_tool(location: str, details_required: str = "general") -> str:
+    """A tool that fetches information about a specified location.
+    
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        location: The name of the location to get information about
+        details_required: The type of information required (general, weather, population)
     """
-    return "What magic will you build ?"
+    try:
+        # This is a simple implementation - in a real scenario you might use an API
+        if details_required.lower() == "weather":
+            # Simulate a weather API call
+            weather_conditions = ["sunny", "cloudy", "rainy", "snowy", "windy"]
+            import random
+            condition = random.choice(weather_conditions)
+            temp = random.randint(0, 35)  # Celsius
+            return f"Current weather in {location}: {condition}, {temp}°C"
+        
+        elif details_required.lower() == "population":
+            # Simulate population data lookup
+            # In real implementation, you would fetch from a database or API
+            populations = {
+                "new york": "8.4 million",
+                "tokyo": "14 million",
+                "london": "9 million",
+                "paris": "2.1 million",
+                "sydney": "5.3 million"
+            }
+            
+            location_lower = location.lower()
+            if location_lower in populations:
+                return f"The population of {location} is approximately {populations[location_lower]}."
+            else:
+                return f"Population data for {location} not found in the database."
+        
+        else:  # general information
+            return f"Here is general information about {location}. This is a placeholder - in a real implementation, this would fetch actual data about the location."
+            
+    except Exception as e:
+        return f"Error fetching information for '{location}': {str(e)}"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
     """A tool that fetches the current local time in a specified timezone.
+    
     Args:
         timezone: A string representing a valid timezone (e.g., 'America/New_York').
     """
     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)}"
 
-
 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_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
 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='Qwen/Qwen2.5-Coder-32B-Instruct',  # it is possible that this model may be overloaded
+    custom_role_conversions=None,
 )
 
-
 # Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, my_custom_tool, get_current_time_in_timezone, image_generation_tool],  # add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -65,5 +95,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
 GradioUI(agent).launch()