app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool,LiteLLMModel
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool
from tools.web_search import DuckDuckGoSearchTool

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def compare_tool(arg1:str, arg2:str)-> 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 comparing to values 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    try:
        t_first = float(arg1)
        t_second = float(arg2)
    except:
        t_first = arg1
        t_second = arg2
    return str(t_first) + " is" + ("more " if t_first > t_second else "less ") + "than " + str(t_second)

@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()
web_search=DuckDuckGoSearchTool()
visit_webpage = VisitWebpageTool()

# 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= LiteLLMModel(
    model_id="ollama_chat/hf.co/unsloth/Qwen2.5-Coder-7B-Instruct-128K-GGUF:Q4_K_M",
#    model_id="ollama_chat/qwen2.5:7b-instruct",  # Or try other Ollama-supported models
    api_base="http://127.0.0.1:4040",  # Default Ollama local server
    num_ctx=8192,
)

#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
#model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
#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, web_search, visit_webpage, compare_tool, 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()