Update app.py

app.py

@@ -1,22 +1,21 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
-import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
+from smolagents.prompts import get_prompt_template  # Import this to get prompt templates
 
 from Gradio_UI import GradioUI
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
+# 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 
+def my_custom_tool(arg1: str, arg2: int) -> str:  # it's important to specify the return type
+    """A tool that does nothing yet
     Args:
         arg1: the first argument
         arg2: the second argument
     """
-    return "What magic will you build ?"
+    return "What magic will you build?"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -37,33 +36,44 @@ def get_current_time_in_timezone(timezone: str) -> str:
 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' 
+# 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,
+    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 the custom prompt templates
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
+# Ensure required defaults are included
+prompt_templates.setdefault("final_answer", get_prompt_template("final_answer"))
+prompt_templates.setdefault("managed_agent", get_prompt_template("managed_agent"))
+
+# If "final_answer" was not loaded from the YAML or smolagents, define it manually
+if "final_answer" not in prompt_templates:
+    prompt_templates["final_answer"] = """
+    The final answer will be provided based on the task at hand.
+    """
+
+# Now, proceed to create the CodeAgent
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, my_custom_tool, get_current_time_in_timezone, 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  # Passing the prompt_templates dictionary
 )
 
-
-GradioUI(agent).launch()
+# Launch the Gradio UI for interacting with the agent
+GradioUI(agent).launch()