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 smolagents import LiteLLMModel

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def custom_number_generator(arg1:int, arg2: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 generate new number based on input
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return arg1 * 10 + arg2

@tool
def get_mars_time_in_yaohui_land() -> str:
    """A tool that fetches mars time in yaohui land
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    return "0000:1111:2222"


final_answer = FinalAnswerTool()
web_search_tool = DuckDuckGoSearchTool()

# 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,
#)


model = LiteLLMModel(
    model_id="ollama_chat/qwen2:7b",  # Or try other Ollama-supported models
    api_base="http://127.0.0.1:11434",  # Default Ollama local server
    num_ctx=8192,
)


# 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=[custom_number_generator, get_mars_time_in_yaohui_land, image_generation_tool, web_search_tool, 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()