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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 find_club(interest: str) -> str: | |
| """Finds a QIU club or society based on a student's interest. | |
| Args: | |
| interest: A keyword representing the student's interest (e.g., 'tech', 'sports', 'arts'). | |
| """ | |
| interest = interest.lower() | |
| clubs = { | |
| "tech": ["Dev Collective (QIU Student Chapter)"], | |
| "sports": ["QIU Football Club", "QIU Badminton Club", "QIU Basketball Club"], | |
| "arts": ["QIU Art Space", "QIU Dance Club"], | |
| "community": ["QIU Event Planning Club", "Environmental Awareness Club"], | |
| "business": ["Entrepreneurship Club", "Finance Society"], | |
| "gaming": ["QIU eSports Club", "QIU Indoor Club"], | |
| } | |
| matches = [] | |
| for keyword, matching_clubs in clubs.items(): | |
| if keyword in interest: | |
| matches.extend(matching_clubs) | |
| if matches: | |
| return f"Based on your interest in '{interest}', you might like: {', '.join(matches)}." | |
| else: | |
| return "Sorry, no clubs matched your interest. Try different keywords like 'tech', 'sports', 'arts', 'gaming', or 'community'." | |
| 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-14B-Instruct', | |
| 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) | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() |