app.py

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 !
# @tool
# def find_product(num1:int, num2:int)-> int: #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 multiplies num1 and num2
#     Args:
#         num1: the first number
#         num2: the second number
#     """
#     return num1*num2


@tool
def greet(name: str)-> 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 greets user when the name is specified
    Args:
        name: a string representing name of the user
    """
    return f"Hello {name}, Have a nice day!!"

@tool
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)}"



@tool
def get_latest_ai_agent_arxiv_papers(num_papers:int = 5) -> list:
    """
    Searches arXiv for the latest research papers on AI agents and retrieves
    the specified number of results.

    Args:
        num_papers: The number of papers to retrieve (default: 5).

    Returns:
        A list of dictionaries, where each dictionary represents a paper and
        contains its title, authors, and URL. Returns an empty list if any errors occur.
        Prints informative messages to the console during the search.
    """
    import arxiv
    
    try:
        search = arxiv.Search(
            query="AI agents",  # Your search term
            max_results=num_papers,
            sort_by=arxiv.SortCriterion.SubmittedDate # Sort by submission date for latest
        )

        papers = []
        for result in search.results():
            paper_info = {
                "title": result.title,
                "authors": ", ".join([author.name for author in result.authors]), # Nicer author format
                "url": result.pdf_url,
                "date": result.published.date(), # Get the date part of the datetime object
                "abstract": result.summary
            }
            papers.append(paper_info)
        return papers

    except Exception as e:
        print(f"An error occurred during the arXiv search: {e}")
        return []
        
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
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
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,greet,get_latest_ai_agent_arxiv_papers], ## 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()