Blame for 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


@tool
def duckduckgo_search(query: str, max_results: int = 5) -> str:
    """Searches DuckDuckGo and returns the top results.
    Args:
        query: The search query to look up.
        max_results: The maximum number of search results to return.
    """
    try:
        search_tool = DuckDuckGoSearchTool()
        results = search_tool(query)

        if not results:
            return "No results found."

        return str(results)

    except Exception as e:
        return f"Error searching DuckDuckGo: {str(e)}"


@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, for example 'America/New_York'.
    """
    try:
        tz = pytz.timezone(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.
# You can use another model or this 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",
    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=[
        duckduckgo_search,
        get_current_time_in_timezone,
        final_answer,
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates,
)


GradioUI(agent).launch()