app.py

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 ?"


def get_info_from_API(word):
    # API endpoint
    url = f"https://api.dictionaryapi.dev/api/v2/entries/en/{word}"
    
    # Make the API request
    response = requests.get(url)
    
    if response.status_code == 200:  # Successful request
        data = response.json()
        print("Successful API call")
        return data[0]  # Return the first entry
    else:
        print(f"Error: Unable to fetch data for '{word}'. Status code: {response.status_code}")
        return None


def parse_word_info(word_info):

    ret_str = " "
    word = word_info.get("word", "")
    ret_str += f"Word: {word}\n"
    print(f"Word: {word}\n")
    
    # Display meanings
    meanings = word_info.get("meanings", [])
    for meaning in meanings:
        part_of_speech = meaning.get("partOfSpeech", "")
        ret_str += f"It is a:{part_of_speech}\n"
        print(f"It is a:{part_of_speech}\n")
       
        # Definitions
        definitions = meaning.get("definitions", [])
        for i, definition in enumerate(definitions, 1):
            ret_str +=f"{i}: {definition.get('definition', '')}"
            print(f"{i}: {definition.get('definition', '')}")
            
            # Example sentences
            example = definition.get("example", "")
            if example:
                ret_str += f"Example: {example}\n"
                print(f"Example: {example}\n")
            
            # Synonyms
            synonyms = definition.get("synonyms", [])
            if synonyms:
                ret_str += f"Synonyms: {', '.join(synonyms)}\n"
                print(f"Synonyms: {', '.join(synonyms)}\n")
            
            # Antonyms
            antonyms = definition.get("antonyms", [])
            if antonyms:
                ret_str += f"Antonyms: {', '.join(antonyms)}\n"
                print(f"Antonyms: {', '.join(antonyms)}\n")
            ret_str += "\n--------\n"
    ret_str = "According to Merriam-Webster's dictionary :{word} is " + ret_str

    return ret_str

@tool
def get_info_dictionary(word:str) -> str:
    """A tool that fetches the detailed meaning of the given word.Each definition includes multiple meanings, sentence examples, synonyms and antonyms.
    Args:
        word: A string that represents a valid word in quotes (e.g. "Fabulous").
        
    """

    word_info = get_info_from_API(word)
    if not word_info:
        return "Sorry I was unable to find this word in my thesarus"
    else:
        ret_str = parse_word_info(word_info)
        
        return ret_str
        
    
@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=[get_info_dictionary, 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()