Update app.py

app.py

@@ -8,17 +8,14 @@ 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 generate_passover_coloring_pages(age: int, gender: str) -> str:
     """Generates Passover-themed coloring pages based on a child's age and gender.
-
     Args:
         age (int): The age of the child (1-12).
         gender (str): The gender of the child ('boy' or 'girl').
-
     Returns:
         str: A list of suggested Passover-themed coloring pages or an error message.
     """
@@ -62,47 +59,42 @@ def generate_passover_coloring_pages(age: int, gender: str) -> str:
 
     selected_pages = passover_pages[complexity][gender]
 
-    # Try generating an image (if applicable)
     try:
+        # Load the image generation tool
         image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
         images = [image_generation_tool(page) for page in selected_pages]
         return final_answer(images)
     except Exception as e:
         return f"Error generating images: {str(e)}"
 
-    # Fallback text response if image generation fails
+    # Fallback text response
     response = f"Passover Coloring Pages for a {age}-year-old {gender}:\n\n"
     response += "\n".join(f"- {page}" for page in selected_pages)
     
     return response
-#image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
-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' 
+# Initialize FinalAnswerTool
+final_answer = FinalAnswerTool()
 
+# Hugging Face Model Configuration
 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'
 )
 
+# Load prompt templates
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
+# Initialize the agent with registered tools
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, generate_passover_coloring_pages],  # add your tools here (don't remove final answer)
+    tools=[final_answer, generate_passover_coloring_pages],  # Ensure generate_passover_coloring_pages is a tool
     max_steps=6,
-    verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
-    prompt_templates=prompt_templates
+    verbosity_level=1
 )
 
-
-GradioUI(agent).launch()
+# Launch the UI
+GradioUI(agent).launch()