app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, LiteLLMModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import os
from Gradio_UI import GradioUI
from duckduckgo_search import DDGS



# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> 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 does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"
    
@tool
def search_duckduckgo(topic : str)-> list:
  """
  Searches DuckDuckGo for a given topic and returns a list of results.

  Args:
    topic: The topic to search for.

  Returns:
    A list of dictionaries, where each dictionary represents a search result
    and contains keys like 'title', 'href', and 'body'.
  """
  results = DDGS().text(topic, max_results=10)
  return 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' 

os.environ["GOOGLE_API_KEY"] = "AIzaSyBcJrlnDDdWtjUDiLrisSOPuaAGizCLKO4"
gemini_api_key = os.environ.get("GOOGLE_API_KEY")

try:
    # LiteLLM uses 'gemini/' prefix for Google AI Studio models
    gemini_model = LiteLLMModel(
        model_id="gemini/gemini-1.5-flash-latest",
        api_key=gemini_api_key,
        temperature = 0.5,
        max_tokens = 2096,
        custom_role_conversions=None
    )
    print("Successfully initialized LiteLLMModel for Gemini 1.5 Flash.")

except Exception as e:
    print(f"Failed to initialize LiteLLMModel: {e}")
    gemini_model = None
    
# model = HfApiModel(
# max_tokens=2096,
# temperature=0.5,
# model_id='google/gemma-2b-it',# it is possible that this model may be overloaded
# custom_role_conversions=None,
# )


search_tool = DuckDuckGoSearchTool()

# 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=gemini_model,
    tools=[final_answer,get_current_time_in_timezone,search_duckduckgo], ## 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()