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 re
from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def cool_speak(speech_text:str)-> str: 
    """A tool that makes your speech much cooler
    Args:
        speech_text: Input speech text to be translated to cool talk
    """
    cool_mapping = {
        'hello': 'yo',
        'bye': 'peace out!',
        'man': 'homie',
        'money': 'moolah',
        'brother': 'bro',
        'sister': 'sis',
        'boss': 'big chief',
        'everyone': 'the crew',
        'understand': 'vibe with',
        'hurry': 'step on it',
        'leave': 'bounce',
        'sleep': 'crash',
        'work': 'the grind',
        'house': 'crib',
        'car': 'whip',
        'shoes': 'kicks',
        'food': 'grub',
        'clothes': 'threads'
    }
    coolified = []
    words_of_interest = set(cool_mapping.keys())
    words = re.sub(r'[^a-z\s]', '', speech_text.lower()).split()
    for word in words:
        if word in words_of_interest:
            coolified.append(cool_mapping[word])
        else:
            coolified.append(word)
    return ' '.join(coolified)

@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, cool_speak], ## 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()