Update app.py

app.py

@@ -1,4 +1,4 @@
-from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel, load_tool, tool
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
 import datetime
 import requests
 import pytz
@@ -7,11 +7,10 @@ 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!
-
-
-def my_custom_tool(arg1:str, arg2:int)-> str: # it's important to specify the return type
-    # Keep this format for the tool description / args description but feel free to modify the 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: #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
@@ -19,7 +18,7 @@ def my_custom_tool(arg1:str, arg2:int)-> str: # it's important to specify the re
     """
     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.
     Args:
@@ -36,34 +35,35 @@ def get_current_time_in_timezone(timezone: str) -> str:
 
 
 final_answer = FinalAnswerTool()
-model = InferenceClientModel(
-    max_tokens=2096,
-    temperature=0.5,
-    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
-    custom_role_conversions=None,
+
+# 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',# 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)
 
-# Load system prompt from prompt.yaml file
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, image_generation_tool],  # <--- Add the image generation tool here
+    tools=[final_answer], ## 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 # Pass system prompt to CodeAgent
+    prompt_templates=prompt_templates
 )
 
-result = image_generation_tool("Generate a high-quality, photorealistic image of a cat sleeping on a windowsill")
-print(result)
 
 GradioUI(agent).launch()