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 duckduckgo_search(query: str) -> str:
    """Searches DuckDuckGo for a given query and returns the top result.
    Args:
        query: The search query string.
    Returns:
        A short summary with the top DuckDuckGo result.
    """
    search_tool = DuckDuckGoSearchTool()
    results = search_tool.run(query)
    
    if results:
        return f"Top search result: {results[0]['title']} - {results[0]['link']}"
    else:
        return "No results found."


@tool
def get_sentiment(text: str) -> str:
    """Analyze the sentiment of the given text (Positive/Negative/Neutral)
    
    Args:
        text: The input text to analyze. (e.g., 'I am so happy today!')
    
    Returns:
        A string indicating the sentiment (Positive, Negative, or Neutral).
    """
    text_lower = text.lower()
    if any(word in text_lower for word in ["good", "great", "awesome", "fantastic", "love", "happy"]):
        return "Sentiment: Positive"
    elif any(word in text_lower for word in ["bad", "terrible", "awful", "hate", "angry", "sad"]):
        return "Sentiment: Negative"
    else:
        return "Sentiment: Neutral"


final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# 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=[my_custom_tool, get_current_time_in_timezone, duckduckgo_search, get_sentiment, 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()