app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

# Tool 1: Solve Python coding problems and explain the solution
@tool
def solve_code_problem_with_explanation(problem_statement: str) -> str:
    """A tool that solves basic Python coding problems and explains the solution using the Qwen model.
    
    Args:
        problem_statement: A description of a Python problem to solve (e.g., 'Write a function to check if a number is prime.')
    """
    try:
        prompt = f"""You are a helpful AI assistant that solves Python coding problems and explains the solution.

Problem:
{problem_statement}

Return:
1. A working Python function.
2. A short explanation of how the function works.

Format your response like this:

# Code
<your function here>

# Explanation
<your explanation here>
"""
        response = model.run(prompt)
        return response
    except Exception as e:
        return f"Error generating solution: {str(e)}"

# Tool 2: Get current time in a timezone
@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:
        tz = pytz.timezone(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 Tool
final_answer = FinalAnswerTool()

# Load model (Qwen2.5 Coder)
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',  # This must be available in the Space environment
    custom_role_conversions=None,
)

# Optional: Import tool from remote tool hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

# Load prompt templates
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

# Define the agent
agent = CodeAgent(
    model=model,
    tools=[final_answer, solve_code_problem_with_explanation, get_current_time_in_timezone],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

# Launch the Gradio UI
GradioUI(agent).launch()