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

# You can call the agent with a text like: "Summarize the top news headlines in Rome, Italy."
@tool
def get_local_news_headlines(location: str) -> str:
    """
    A tool that fetches top local news headlines for a given location using Currents API.
    Args:
        location: The name of the location or a keyword for the news.
    Returns:
        A string with the top headlines or an error message.
    """
    import requests
    try:
        url = "https://api.currentsapi.services/v1/search"
        params = {
            "keywords": location,
            "language": "en",
            "apiKey": "9kgcb14yVbcFQULH9tMpF-ZS0bDx9ISbP7oJEk_lcN7pbpWu",
            "limit": 5  # Limit to 5 headlines
        }
        response = requests.get(url, params=params)
        data = response.json()
        if data.get("status") == "ok":
            headlines = [article["title"] for article in data.get("news", [])]
            if headlines:
                return f"Top headlines in {location}:\n" + "\n".join(headlines)
            else:
                return f"No news found for {location}."
        else:
            return "Error fetching news: " + data.get("message", "Unknown error")
    except Exception as e:
        return f"Error fetching news: {str(e)}"

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)

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