add the image_generator tool

app.py

@@ -4,20 +4,14 @@ import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
+from diffusers import StableDiffusionPipeline
+import torch
 
+from tools.final_answer import FinalAnswerTool
+from tools.visit_webpage import VisitWebpageTool  # Import tool function
+from tools.web_search import DuckDuckGoSearchTool        # Import tool function
 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 ?"
-
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
     """A tool that fetches the current local time in a specified timezone.
@@ -33,8 +27,26 @@ def get_current_time_in_timezone(timezone: str) -> str:
     except Exception as e:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
+@tool
+def image_generator(prompt: str, model_name: str = "CompVis/stable-diffusion-v1-4"):
+    """A tool that Generate an image from a text prompt using a free Hugging Face model.
+
+    Args:
+        prompt (str): Text prompt to generate image.
+        model_name (str): Model to use from Hugging Face hub (default is Stable Diffusion v1.4).
+
+    Returns:
+        PIL.Image.Image: Generated image.
+    """
+    pipe = StableDiffusionPipeline.from_pretrained(model_name, torch_dtype=torch.float16)
+    pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
+
+    image = pipe(prompt).images[0]
+    return image
 
 final_answer = FinalAnswerTool()
+visit_webpage = VisitWebpageTool()
+web_search = DuckDuckGoSearchTool()
 
 # 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' 
@@ -48,14 +60,14 @@ custom_role_conversions=None,
 
 
 # Import tool from Hub
-image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+# 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, visit_webpage, web_search, get_current_time_in_timezone, image_generator],
     max_steps=6,
     verbosity_level=1,
     grammar=None,