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 search_top3(query: str) -> str:
    """
    Searches the internet using DuckDuckGoSearchTool and returns the top three relevant responses.

    Args:
        query: The query string for the search.
        
    Returns:
        A formatted string with the top three search results including title, URL, and snippet (if available).
    """
    # Initialize the DuckDuckGo search tool
    search_tool = DuckDuckGoSearchTool()
    
    # Execute the search query (assuming the tool returns a list of result dictionaries)
    results = search_tool.search(query)
    
    # Extract the top three results
    top3 = results[:3]
    
    # Build a formatted string of the top three results
    formatted_results = []
    for idx, result in enumerate(top3, start=1):
        title = result.get('title', 'No title')
        url = result.get('url', 'No URL')
        snippet = result.get('snippet', 'No snippet available.')
        formatted_results.append(
            f"Result {idx}:\nTitle: {title}\nURL: {url}\nSnippet: {snippet}\n"
        )
    
    return "\n".join(formatted_results)

@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)}"


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], ## 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()