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

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !

@tool
def generate_data_science_steps(process: str) -> str:
    """A tool that generates concise step-by-step instructions for a given data science process.
    
    Args:
        process: The name of the data science process (e.g., "Data Cleaning", "Feature Engineering", "Model Training").
    
    Returns:
        A concise list of steps for executing the specified process.
    """
    steps_dict = {
        "data cleaning": [
            "1. Load the dataset.",
            "2. Handle missing values (impute or remove).",
            "3. Remove duplicates.",
            "4. Fix inconsistent data types.",
            "5. Normalize/standardize data if needed."
        ],
        "feature engineering": [
            "1. Identify relevant features.",
            "2. Create new features from existing data.",
            "3. Encode categorical variables.",
            "4. Scale numerical features.",
            "5. Select the most important features."
        ],
        "model training": [
            "1. Split data into train/test sets.",
            "2. Choose an appropriate algorithm.",
            "3. Train the model on training data.",
            "4. Evaluate using validation data.",
            "5. Tune hyperparameters for better performance."
        ],
        "data visualization": [
            "1. Choose the right visualization type.",
            "2. Load and preprocess data.",
            "3. Use libraries like Matplotlib or Seaborn.",
            "4. Label axes and titles for clarity.",
            "5. Interpret insights from the visuals."
        ]
    }
    
    process = process.lower()
    if process in steps_dict:
        return "\n".join(steps_dict[process])
    else:
        return f"Sorry, I don't have predefined steps for '{process}'. Try another data science process."


@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,generate_data_science_steps], ## 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()