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 os
from smolagents import LiteLLMModel

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def find_club(interest: str) -> str:
    """Finds a QIU club or society based on a student's interest.
    Args:
        interest: A keyword representing the student's interest (e.g., 'tech', 'sports', 'arts').
    """
    interest = interest.lower()
    clubs = {
        "tech": ["Dev Collective (QIU Student Chapter)"],
        "sports": ["QIU Football Club", "QIU Badminton Club", "QIU Basketball Club"],
        "arts": ["QIU Art Space", "QIU Dance Club"],
        "community": ["QIU Event Planning Club", "Environmental Awareness Club"],
        "business": ["Entrepreneurship Club", "Finance Society"],
        "gaming": ["QIU eSports Club", "QIU Indoor Club"],

    }
    
    matches = []
    for keyword, matching_clubs in clubs.items():
        if keyword in interest:
            matches.extend(matching_clubs)
    
    if matches:
        return f"Based on your interest in '{interest}', you might like: {', '.join(matches)}."
    else:
        return "Sorry, no clubs matched your interest. Try different keywords like 'tech', 'sports', 'arts', 'gaming', or 'community'."

@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()

# 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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
custom_role_conversions=None,
)

model = LiteLLMModel(model_id="gemini/gemini-2.0-flash-lite", api_key=os.getenv(key="AIzaSyB_QTuznTSXCMfY8l3YYfAn5sYyiHktVR8"))

# 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()