Implemented generate_popular_image

app.py

@@ -9,14 +9,43 @@ 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
+def generate_popular_image(category:str)-> 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 
+    """
+    Searches for the most popular {category} using DuckDuckGoSearchTool,
+    then generates an image of that item using image_generation_tool.
+    
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        category (str): The category to search for (e.g., "animal", "car", "fruit").
+    
+    Returns:
+        Generated image of the most popular item in the given category.
     """
-    return "What magic will you build ?"
+    if not category:
+        return "Please provide a category to search for."
+
+    # Step 1: Search for the most popular item in the category
+    search_tool = DuckDuckGoSearchTool()
+    query = f"most popular {category} in the world"
+    search_results = search_tool.run(query)
+
+    if not search_results:
+        return f"No search results found for the most popular {category}."
+
+    # Step 2: Extract a relevant item name using regex
+    match = re.search(r"\b[A-Z][a-z]+\b", search_results)  # Extracts a capitalized word (name)
+    
+    if match:
+        item_name = match.group(0)
+    else:
+        return f"Could not identify a popular {category} from the search results."
+
+    # Step 3: Generate an image of the identified item
+    # Import tool from Hub
+    image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+    image_prompt = f"A high-quality, realistic image of a {item_name}."
+    
+    return image_generation_tool(image_prompt)  # Return the generated image
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -47,15 +76,13 @@ 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,], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,