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 Gradio_UI import GradioUI

# 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 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)}"

@tool
def get_installed_solar_capacity_for_indian_states(state_name: str) -> float:
    """ A tool that fetches the current installed solar capacity in megawatt for different indian states.
    Args:
        state_name: A string representing valid indian state name (e.g., Gujarat)
    """
    indian_states = dict()
    indian_states["Andaman and Nicobar"] = 2.69
    indian_states["Andhra Pradesh"] = 143.77
    indian_states["Arunachal Pradesh"] = 0.22
    indian_states["Assam"] = 28.59
    indian_states["Bihar"] = 18.55
    indian_states["Chandigarh"] = 38.41
    indian_states["Chhattisgarh"] = 36.94
    indian_states["Goa"] = 22.76
    indian_states["Gujarat"] = 2037.62
    indian_states["Haryana"] = 358.83

    return indian_states[state_name]
    # return [
    #     {
    #       "sl_no_": "1",
    #       "states_uts": "Andaman and Nicobar",
    #       "rooftop_solar_capacity_installed_mw_": 2.69
    #     },
    #     {
    #       "sl_no_": "2",
    #       "states_uts": "Andhra Pradesh",
    #       "rooftop_solar_capacity_installed_mw_": 143.77
    #     },
    #     {
    #       "sl_no_": "3",
    #       "states_uts": "Arunachal Pradesh",
    #       "rooftop_solar_capacity_installed_mw_": 0.22
    #     },
    #     {
    #       "sl_no_": "4",
    #       "states_uts": "Assam",
    #       "rooftop_solar_capacity_installed_mw_": 28.59
    #     },
    #     {
    #       "sl_no_": "5",
    #       "states_uts": "Bihar",
    #       "rooftop_solar_capacity_installed_mw_": 18.55
    #     },
    #     {
    #       "sl_no_": "6",
    #       "states_uts": "Chandigarh",
    #       "rooftop_solar_capacity_installed_mw_": 38.41
    #     },
    #     {
    #       "sl_no_": "7",
    #       "states_uts": "Chhattisgarh",
    #       "rooftop_solar_capacity_installed_mw_": 36.94
    #     },
    #     {
    #       "sl_no_": "8",
    #       "states_uts": "Goa",
    #       "rooftop_solar_capacity_installed_mw_": 22.76
    #     },
    #     {
    #       "sl_no_": "9",
    #       "states_uts": "Gujarat",
    #       "rooftop_solar_capacity_installed_mw_": 2037.62
    #     },
    #     {
    #       "sl_no_": "10",
    #       "states_uts": "Haryana",
    #       "rooftop_solar_capacity_installed_mw_": 358.83
    #     }
    #   ]
        


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' 

model = HfApiModel(
max_tokens=2096,
temperature=0.4,
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], ## 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()