Update app.py

app.py

@@ -1,22 +1,32 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
 import yaml
+import os
 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 !
+# Ensure the latest smolagents version: `pip install --upgrade smolagents`
+# Ensure prompts.yaml matches the provided structure with system_prompt, final_answer, planning, and managed_agent
+# Set your Hugging Face API token as an environment variable if required
+HF_TOKEN = os.environ.get("HF_TOKEN")
+
 @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 get_motivational_quote(category: str = "inspirational") -> str:
+    """A tool that fetches a random motivational quote from the Quotable API.
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        category: A string representing the quote category (e.g., 'inspirational', 'life'). Defaults to 'inspirational'.
     """
-    return "What magic will you build ?"
+    try:
+        response = requests.get(f"https://api.quotable.io/random?tags={category}")
+        response.raise_for_status()
+        data = response.json()
+        quote = data['content']
+        author = data['author']
+        return f"\"{quote}\" - {author}"
+    except Exception as e:
+        return f"Error fetching quote: {str(e)}"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -25,43 +35,55 @@ def get_current_time_in_timezone(timezone: str) -> str:
         timezone: A string representing a valid timezone (e.g., 'America/New_York').
     """
     try:
-        # Create timezone object
         tz = pytz.timezone(timezone)
-        # Get current time in that timezone
         local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
         return f"The current local time in {timezone} is: {local_time}"
     except Exception as e:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
-
 final_answer = FinalAnswerTool()
+image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
-# 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' 
+with open("prompts.yaml", 'r') as stream:
+    prompt_templates = yaml.safe_load(stream)
+
+# Restructure prompt_templates to match CodeAgent expectations
+# Handle cases where planning and managed_agent are parsed incorrectly
+restructured_templates = {
+    "system_prompt": prompt_templates.get("system_prompt", ""),
+    "final_answer": prompt_templates.get("final_answer", ""),
+    "planning": {
+        "initial_facts": prompt_templates.get("planning", {}).get("initial_facts", ""),
+        "initial_plan": prompt_templates.get("planning", {}).get("initial_plan", ""),
+        "update_facts_pre_messages": prompt_templates.get("planning", {}).get("update_facts_pre_messages", ""),
+        "update_facts_post_messages": prompt_templates.get("planning", {}).get("update_facts_post_messages", ""),
+        "update_plan_pre_messages": prompt_templates.get("planning", {}).get("update_plan_pre_messages", ""),
+        "update_plan_post_messages": prompt_templates.get("planning", {}).get("update_plan_post_messages", "")
+    },
+    "managed_agent": {
+        "task": prompt_templates.get("managed_agent", {}).get("task", ""),
+        "report": prompt_templates.get("managed_agent", {}).get("report", "")
+    }
+}
 
 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,
+    model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
+    token=HF_TOKEN,
+    max_tokens=2096,
+    temperature=0.5,
+    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=[get_motivational_quote, get_current_time_in_timezone, image_generation_tool, final_answer],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
     name=None,
     description=None,
-    prompt_templates=prompt_templates
+    prompt_templates=restructured_templates
 )
+
 GradioUI(agent).launch()