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 smolagents.agent_types import AgentText

@tool
def lookup_definition(query: str) -> AgentText:
    """Fetches the definition of a word from the Dictionary API and returns it as AgentText.

    Args:
        query: The word to look up.
        
    
    """
    url = f"https://api.dictionaryapi.dev/api/v2/entries/en/{query}"
    try:
        response = requests.get(url)
        response.raise_for_status()
        data = response.json()
        
        if not data:
            response_text = "No definition found."
        else:
            word = data[0].get("word", "Unknown word")
            origin = data[0].get("origin", "Origin not available")
            definitions = [
                f"({meaning.get('partOfSpeech', 'Unknown')}) {definition['definition']}"
                for meaning in data[0].get("meanings", [])
                for definition in meaning.get("definitions", [])
            ]
            if not definitions:
                response_text = f"Word: {word}\nOrigin: {origin}\nNo definitions found."
            else:
                response_text = f"Word: {word}\nOrigin: {origin}\nDefinitions:\n- " + "\n- ".join(definitions)
    except requests.RequestException as e:
        response_text = f"Error fetching definition: {str(e)}"
        
    return AgentText(response_text)



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, lookup_definition], ## 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()