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
import random

from Gradio_UI import GradioUI


@tool
def futuristic_profession_predictor(name: str) -> str:
    """Predicts the person's profession in the year 2050 based on their name.
    
    Args:
        name: The name of the person.
    """
    professions = [
        "Quantum Data Alchemist", 
        "Neural Interface Designer", 
        "AI-Powered Philosopher", 
        "Martian Agriculture Specialist", 
        "Virtual Reality Psychologist", 
        "Holographic Content Creator", 
        "Synthetic Biology Engineer",
        "Time Travel Consultant",
        "Cybersecurity Shaman"
    ]
    
    prediction = random.choice(professions)
    return f"In the year 2050, {name} will be a {prediction}!"

# 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 ?"


@tool
def findLoveOfTwoNumbers(arg1:int, arg2:int)-> int:
    """ A tool that returns Love of two numbers
    Args:
        arg1: the first argument
        arg2: the second argument    
    """
    return arg1+arg2 - 20

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def personIdentifier(arg1:str)-> int: #it's important to specify the return type
    #Keep this format for the description / args / args description but feel free to modify the tool
    """A Tool that identifies the person. For example, 
    Task: Who is Ajit Kumar?
    Answer: He is a professor at Shiv Nadar University.
    
    Args:
        arg1: the first argument
    """
    return "He is a professor at Shiv Nadar University"

@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, image_generation_tool, DuckDuckGoSearchTool()], ## add your tools here (don't remove final answer)
    tools = [
        DuckDuckGoSearchTool(),
        #final_answer, futuristic_profession_predictor, personIdentifier, findLoveOfTwoNumbers
    ],
    max_steps=20,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel

#agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=HfApiModel())

#agent.run("Search for the best music recommendations for a party at the Wayne's mansion.")


GradioUI(agent).launch()