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

# Import login to use dannyAgentCourseToken
import os
from huggingface_hub import login
login(token = os.getenv('dannyAgentCourseToken'))

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def get_random_cat_fact()-> 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 gets a random cat fact.
    Args:
    """
    cat_facts_api_url = "https://meowfacts.herokuapp.com/"
    try:
        response = requests.get(cat_facts_api_url)
        response.raise_for_status()
        return response.json()["data"][0]
    except requests.exceptions.RequestException as e:
        return "Failed to fetch a random cat fact."


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=0.5,
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)

# Add Search Tool
search_tool = DuckDuckGoSearchTool()


with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
        tools=[final_answer, get_random_cat_fact, search_tool, 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()