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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 prophetic_oracle(word: str, lucky_number: 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 | |
| """Reveals a mystical prophecy and fetches a real-time search result. | |
| Args: | |
| word: A keyword that unlocks fate. | |
| lucky_number: A number that tilts destiny. | |
| Returns: | |
| A fortune and a live web search link. | |
| """ | |
| messages = [ | |
| "The universe conspires in your favor.", | |
| "A secret truth will soon unfold.", | |
| "Beware of doors that open too easily.", | |
| "Your energy attracts hidden opportunities.", | |
| "A path once lost will be found again.", | |
| "In the unseen, answers await." | |
| ] | |
| seed = sum(ord(c) for c in word) + lucky_number | |
| fortune = messages[seed % len(messages)] | |
| # Perform a real-time web search | |
| search_tool = DuckDuckGoSearchTool() | |
| search_result = search_tool.search(word) | |
| return f"🔮 Fortune Code {seed}: {fortune}\n🌐 Relevant insight: {search_result}" | |
| 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() | |
| # 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) | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer, get_current_time_in_timezone, prophetic_oracle], ## 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 | |
| ) | |
| GradioUI(agent).launch() |