app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel, load_tool, tool, TransformersModel
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_cutom_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 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()

# https://docs.litellm.ai/
#model = LiteLLMModel(
#  model_id="gemini/gemini-2.0-flash-exp",
#  max_tokens=2096,
#  temperature=0.6,
#  api_key=os.getenv("LITELLM_API_KEY")
#)

model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

#model = HfApiModel(
#    max_tokens=2096,
#    temperature=0.5,
#    model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',
#    custom_role_conversions=None,
#)

# ollama
#model = OpenAIServerModel(
#   model_id="gemma2:2b", #"deepseek-coder-v2:16b",
#   max_tokens=2096,
#   temperature=0.6,
#   api_base="http://localhost:11434",
#   #num_ctx=8192,
#   api_key="",
#)

# transformer
#model = TransformersModel(
#    model_id="deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
#    device_map="auto",
#    torch_dtype="auto",
#    max_new_tokens=2096,
#    temperature=0.6,
#)

# print("Model Image")
# 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], ## 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
)

print("Start GradioUI")

GradioUI(agent).launch()