app.py

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

# Custom Tool Example
@tool
def my_custom_tool(arg1: str, arg2: int) -> str:
    """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:
    """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)}"

# Initialize Final Answer Tool
final_answer = FinalAnswerTool()

# Model Configuration
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

# Import External Tools
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

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

# Initialize AI Agent
agent = CodeAgent(
    model=model,
    tools=[final_answer],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

# Enhanced Gradio UI
with gr.Blocks() as demo:
    gr.Markdown("""
    # 🤖 AI Assistant - Long-Agent
    Welcome to the interactive AI chatbot! This bot can assist you with coding, answer general queries, and even generate images. 🚀
    """)
    
    chatbot = gr.Chatbot(label="AI Assistant")
    user_input = gr.Textbox(label="Enter your message:")
    send_button = gr.Button("Send")
    status = gr.Markdown("Waiting for input...")

    def update_status():
        return "⏳ Processing response..."

    def agent_response(message):
        response = agent.generate_response(message)
        return [(message, f"🤖 {response}")]
    
    send_button.click(update_status, None, status)
    send_button.click(agent_response, user_input, chatbot)

demo.launch()