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 pandas as pd

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 ?"

@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)}"

@tool
def filter_dataframe(df: pd.DataFrame, filters: dict) -> pd.DataFrame:
    """
    Filters a DataFrame based on provided keys and their corresponding values.
    
    Args:
        df:(pd.DataFrame) The pandas DataFrame to filter.
        filters: (dict) A dictionary where each key is a column name in the DataFrame,
                        and the corresponding value is the filter criteria. The filter 
                        value can be a single value for an equality check, or a list of 
                        values to use with the 'isin' filter.
                        
                        Example:
                            filters = {
                                "name": "Alice",          # filter where 'name' == "Alice"
                                "city": ["New York", "Boston"]  # filter where 'city' is either "New York" or "Boston"
                            }
                            
    Returns:
        pd.DataFrame: A DataFrame filtered based on the provided criteria.
        
    Raises:
        ValueError: If any of the provided filter keys are not present in the DataFrame.
    """
    filtered_df = df.copy()
    
    for column, value in filters.items():
        if column not in filtered_df.columns:
            raise ValueError(f"Column '{column}' does not exist in the DataFrame.")
        
        if isinstance(value, list):
            # Filter for any value in the list (like SQL IN)
            filtered_df = filtered_df[filtered_df[column].isin(value)]
        else:
            # Filter for equality
            filtered_df = filtered_df[filtered_df[column] == value]
    
    return filtered_df


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, get_current_time_in_timezone, filter_dataframe], ## 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()