app.py

#pip install 'smolagents[litellm]' 
import subprocess
subprocess.check_call(['pip', 'install', 'smolagents[litellm]'])

from smolagents import LiteLLMModel
#from smolagents import CodeAgent, InferenceClientModel

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

model = LiteLLMModel(
  #model_id = "ollama_chat/qwen2:7b",  # Or try other Ollama-supported models
  model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
  api_base = "http://127.0.0.1:11434",  # Default Ollama local server
  num_ctx = 8192
)

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def get_average_ar(beginning_ar:float, closing_ar:float)-> float: #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 takes that takes the beginning and closing accounts receivable amounts to calculate the average 
    Args:
        beginning_ar: Last Closed Month Accounts Receivable Amount
        closing_ar: Current Month Accounts Receivable Amount
    """
    return (beginning_ar + closing_ar) / 2

@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' 

# This is a model that runs based on tokens that re-fill monthly
# 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, get_average_ar, 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()