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

@tool
def search_hf_models(query: str, task: str = None) -> str:
    """Searches Hugging Face models by query/task.
    Args:
        query: Search terms (e.g., 'text classification')
        task: Filter by task (e.g., 'text-classification')
    Returns formatted model information with URLs
    """
    try:
        params = {"search": query, "filter": task} if task else {"search": query}
        response = requests.get(
            "https://huggingface.co/api/models",
            params=params,
            headers={"Accept": "application/json"}
        )
        response.raise_for_status()
        
        results = []
        for model in response.json()[:5]:  # Top 5 results
            model_info = f"""
            🧠 **{model['modelId']}**
            - Author: {model['author']}
            - Downloads: {model['downloads']:,}
            - Tasks: {', '.join(model.get('tags', []))}
            - URL: https://huggingface.co/{model['modelId']}
            """
            results.append(model_info)
            
        return "\n\n".join(results) if results else "No models found"
        
    except Exception as e:
        return f"Search error: {str(e)}"

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """Fetches current local time in specified timezone.
    Args:
        timezone: Valid timezone (e.g., 'America/New_York')
    """
    try:
        tz = pytz.timezone(timezone)
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"Current time in {timezone}: {local_time}"
    except Exception as e:
        return f"Timezone error: {str(e)}"

final_answer = FinalAnswerTool()

# Fallback endpoint if model is overloaded:
# 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',
    custom_role_conversions=None,
)

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_hf_models,
        get_current_time_in_timezone,
        image_generation_tool
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()