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| from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| 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 | |
| """A tool that does nothing yet | |
| Args: | |
| arg1: the first argument | |
| arg2: the second argument | |
| """ | |
| return "What magic will you build ?" | |
| def get_current_time_in_timezone(timezone: str) -> str: | |
| """A tool that fetches the current local time in a specified timezone. | |
| Args: | |
| 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() | |
| model = HfApiModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='Qwen/Qwen2.5-Coder-32B-Instruct', | |
| 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) | |
| if "final_answer" not in prompt_templates: | |
| prompt_templates["final_answer"] = { | |
| "template": "This is the final answer: {answer}", | |
| "pre_messages": "You are about to receive the final answer.", | |
| "post_messages": "The task is complete. If you have any further questions, feel free to ask." | |
| } | |
| else: | |
| # Ensure 'pre_messages' exists within 'final_answer' template | |
| if "pre_messages" not in prompt_templates["final_answer"]: | |
| prompt_templates["final_answer"]["pre_messages"] = "You are about to receive the final answer." | |
| # Ensure 'post_messages' exists within 'final_answer' template | |
| if "post_messages" not in prompt_templates["final_answer"]: | |
| prompt_templates["final_answer"]["post_messages"] = "The task is complete. If you have any further questions, feel free to ask." | |
| required_templates = ["planning", "managed_agent"] | |
| for template in required_templates: | |
| if template not in prompt_templates: | |
| # Define a default template for the missing one(s) | |
| if template == "planning": | |
| prompt_templates["planning"] = """ | |
| You are an expert assistant capable of breaking down complex tasks into smaller steps. | |
| For each task, plan your approach step-by-step. Each step should include a 'Thought:' | |
| explaining the reasoning, 'Code:' to write the Python code, and 'Observation:' to explain the result. | |
| """ | |
| elif template == "managed_agent": | |
| prompt_templates["managed_agent"] = """ | |
| You are a managed agent who will execute a task with steps defined for you. After each step, | |
| you should provide 'Thought:', 'Code:', and 'Observation:' sequences to guide the process. | |
| """ | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[ | |
| final_answer, | |
| my_custom_tool, | |
| get_current_time_in_timezone, | |
| image_generation_tool | |
| ], | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates # Pass system prompt to CodeAgent | |
| ) | |
| GradioUI(agent).launch() |