first shot at entertaining random fact agent ^^

app.py

@@ -1,4 +1,4 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
@@ -7,16 +7,15 @@ 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 ?"
+def get_random_fact() -> str:
+    """Returns a fun random fact fetched from an API."""
+    try:
+        response = requests.get("https://uselessfacts.jsph.pl/random.json?language=en")
+        fact = response.json().get("text", "No fact available.")
+        return fact
+    except Exception as e:
+        return f"Error fetching fact: {str(e)}"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -25,28 +24,67 @@ def get_current_time_in_timezone(timezone: str) -> str:
         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}"
+        local_time = datetime.datetime.now(tz)
+        formatted_time = local_time.strftime("%Y-%m-%d %H:%M:%S")
+        return formatted_time
     except Exception as e:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
+@tool
+def get_fact_with_greeting(timezone: str) -> str:
+    """
+    Returns an entertaining message that includes an appropriate greeting based on the 
+    current time in the given timezone along with a fun random fact.
+    
+    Args:
+        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+    """
+    # Get the current time string and also a datetime object for hour extraction.
+    try:
+        tz = pytz.timezone(timezone)
+        local_time = datetime.datetime.now(tz)
+        formatted_time = local_time.strftime("%Y-%m-%d %H:%M:%S")
+    except Exception as e:
+        return f"Error fetching time for timezone '{timezone}': {str(e)}"
+    
+    # Determine an appropriate greeting based on the hour of the day.
+    hour = local_time.hour
+    if hour < 12:
+        greeting = "Good morning"
+    elif 12 <= hour < 18:
+        greeting = "Good afternoon"
+    else:
+        greeting = "Good evening"
+    
+    # Fetch a fun fact.
+    fact = get_random_fact()
+    # If get_random_fact returned an error, it will already be a message indicating the error.
+    if fact.startswith("Error"):
+        fun_fact_message = fact
+    else:
+        fun_fact_message = f"Here's a fun fact: {fact}"
+    
+    # Create the final entertaining message.
+    message = (
+        f"{greeting}! The current local time in {timezone} is {formatted_time}. "
+        f"{fun_fact_message}"
+    )
+    
+    return message
 
 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)
 
@@ -55,7 +93,7 @@ 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, get_random_fact, get_current_time_in_timezone, get_fact_with_greeting],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -65,5 +103,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
-GradioUI(agent).launch()
+GradioUI(agent).launch()