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
from tavily import TavilyClient

# Below is an example of a tool that does nothing. Amaze us with your creativity !

@tool
def search_internet(query: str) -> str:
    """Search the internet using Tavily API to retrieve relevant results for a given query.
    
    Args:
        query: The search query string to look up information about.
    """
    print(f"🔍 Searching with Tavily: {query}")

    # Get API key from tavily.com (1000 free searches/month)
    api_key = "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"

    try:
        client = TavilyClient(api_key=api_key)

        response = client.search(
            query=query,
            max_results=3
        )

        results = response.get('results', [])

        if not results:
            return "No results found."

        output = []
        for i, result in enumerate(results, 1):
            title = result.get('title', 'No title')
            content = result.get('content', 'No description')
            url = result.get('url', '')
            output.append(f"{i}. {title}\n{content[:200]}...\nSource: {url}\n")

        return "\n".join(output)

    except Exception as e:
        return f"Search error: {str(e)}"

    

@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='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,search_internet], ## 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()