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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(term: str, api_key: str) -> str: | |
| """ | |
| A tool that performs a search in the PubMed database using the NCBI E-utilities API. | |
| This tool sends a request to the PubMed database with a specified search term and returns | |
| the results in XML format. It requires an API key for authentication and rate limit management. | |
| Args: | |
| term: The search term to query in the PubMed database (e.g., "cancer"). | |
| api_key: The API key for accessing the NCBI E-utilities API. This key is required | |
| to increase the rate limit and ensure uninterrupted access. | |
| Returns: | |
| str: The response from the PubMed database in XML format, containing the search results. | |
| """ | |
| base_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi" | |
| params = { | |
| "db": "pubmed", | |
| "term": term, | |
| "retmax": 5, # Limit the number of results | |
| "api_key": api_key # API key for authentication | |
| } | |
| # Send the request | |
| response = requests.get(base_url, params=params) | |
| return response.text | |
| 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, 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 | |
| ) | |
| GradioUI(agent).launch() |