app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import os
import re
from tools.visit_webpage import VisitWebpageTool
from tools.web_search import DuckDuckGoSearchTool
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 string_counter(substring:str, bigstring:str)-> 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 counts how many time a character or string is found in a larger string, the input is case-sensitive
    Args:
        substring: a single character or a string of characters, case-sensitive
        bigstring: a larger string where the search is done, case-sensitive
    """
    try:
        # Count how many times substring is found in bigstring
        count = len(re.findall(substring, bigstring))
        return f"{substring} is found {count} times in the string {bigstring}"
    except Exception as e:
        return f"Error, perhaps the input is wrong and is not a character or string"    
    

@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)}"



visit_webpage = VisitWebpageTool()
web_search = DuckDuckGoSearchTool()
final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
token=os.getenv('hf_token'),
custom_role_conversions=None,
)

#
# model = HfApiModel(
# max_tokens=2096,
# temperature=0.5,
# model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',
# token=os.getenv('hf_token'),
# 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,get_current_time_in_timezone,string_counter], ## 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()