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
import re

@tool
def password_strength(password: str) -> str:
    score = 0
    feedback = []

    if len(password) >= 8:
        score += 1
    else:
        feedback.append("Make it at least 8 characters long.")

    if re.search(r"[a-z]", password):
        score += 1
    else:
        feedback.append("Add a lowercase letter.")

    if re.search(r"[A-Z]", password):
        score += 1
    else:
        feedback.append("Add an uppercase letter.")

    if re.search(r"[0-9]", password):
        score += 1
    else:
        feedback.append("Add a number.")

    if re.search(r"[!@#$%^&*(),.?\":{}|<>]", password):
        score += 1
    else:
        feedback.append("Add a special character (like ! or @).")

    if score <= 2:
        strength = "Weak"
    elif score <= 4:
        strength = "Medium"
    else:
        strength = "Strong"

    result = f"Password strength: {strength} ({score}/5 criteria met)."
    if feedback:
        result += " Suggestions: " + " ".join(feedback)

    return result

@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)
search_tool = DuckDuckGoSearchTool()

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[[final_answer, search_tool, get_current_time_in_timezone, image_generation_tool, password_strength], ## 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()