Update app.py

app.py

@@ -3,54 +3,40 @@ import datetime
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
-from Gradio_UI import GradioUI
 
+from Gradio_UI import GradioUI
 
-# A simple example tool that currently does nothing but shows how to define a tool.
+# 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:
-    """
-    A placeholder tool that returns a fun message.
-    
+def my_custom_tool(arg1: str, arg2: int) -> str:  # it's import to specify the return type
+    """A tool that does nothing yet 
     Args:
-        arg1: The first argument as a string.
-        arg2: The second argument as an integer.
-    
-    Returns:
-        A string message.
+        arg1: the first argument
+        arg2: the second argument
     """
-    return "What magic will you build with this tool?"
-
+    return "What magic will you build ?"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """
-    Returns the current local time in the specified timezone.
-    
+    """A tool that fetches the current local time in a specified timezone.
     Args:
-        timezone: A valid timezone string (e.g., 'America/New_York').
-    
-    Returns:
-        A formatted string with the current local time or an error message.
+        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: could not fetch time for timezone '{timezone}'. Details: {e}"
-
+        return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
 @tool
 def emoji_summarizer(text: str) -> str:
     """
-    Summarizes the input text using emojis representing key ideas.
-    
+    Summarizes the input text into a sequence of emojis that capture the main ideas.
     Args:
-        text: Input text string.
-    
-    Returns:
-        A string of emojis or a default emoji if no matches are found.
+        text: Input string to summarize
     """
     mapping = {
         "happy": "😊",
@@ -67,52 +53,41 @@ def emoji_summarizer(text: str) -> str:
         "error": "❌",
         "question": "❓",
     }
-
-    # Basic tokenization: lowercase and split on whitespace
+    
     words = text.lower().split()
     emojis = [mapping[word] for word in words if word in mapping]
-
     if not emojis:
         return "🤔 (no matching emojis found)"
     return "".join(emojis)
 
-
-# Initialize the final answer tool
 final_answer = FinalAnswerTool()
 
-# Initialize the language model (make sure model_id is correct and accessible)
+# 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 = HfApiModel(
     max_tokens=2096,
     temperature=0.5,
-    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',  # it is possible that this model may be overloaded
     custom_role_conversions=None,
 )
 
-# Load the text-to-image generation tool from the Hugging Face hub
+# Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
-# Load prompt templates from YAML file (make sure 'prompts.yaml' is present and valid)
-with open("prompts.yaml", "r") as stream:
+with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-
-# Initialize the code agent with all desired tools
+    
 agent = CodeAgent(
     model=model,
-    tools=[
-        final_answer,
-        emoji_summarizer,
-        image_generation_tool,
-        my_custom_tool,
-        get_current_time_in_timezone,
-    ],
+    tools=[final_answer, emoji_summarizer, image_generation_tool],  ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
     name=None,
     description=None,
-    prompt_templates=prompt_templates,
+    prompt_templates=prompt_templates
 )
 
-# Launch the Gradio UI to interact with the agent
 GradioUI(agent).launch()