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
import gradio as gr
import inspect

# Monkey-patch Gradio to handle compatibility issues
chatbot_params = inspect.signature(gr.Chatbot.__init__).parameters
old_init = gr.Chatbot.__init__
def new_init(self, *args, **kwargs):
    # Filter out kwargs that are not in the signature
    if any(p.kind == p.VAR_KEYWORD for p in chatbot_params.values()):
        return old_init(self, *args, **kwargs)
    filtered_kwargs = {k: v for k, v in kwargs.items() if k in chatbot_params}
    return old_init(self, *args, **filtered_kwargs)
gr.Chatbot.__init__ = new_init

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def get_travel_recommendations(location: str) -> str:
    """A tool that provides travel and tourist recommendations for a specific location.
    Args:
        location: The name of the location (e.g., 'Nairobi, Kenya').
    """
    search_tool = DuckDuckGoSearchTool()
    query = f"top tourist attractions and travel recommendations for {location}"
    try:
        results = search_tool(query)
        return f"Travel recommendations for {location}:\n{results}"
    except Exception as e:
        return f"Error fetching recommendations for {location}: {str(e)}"

@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 generate_image(prompt: str) -> str:
    """A tool that generates a beautiful image for the travel brochure using FLUX.1-schnell.
    Args:
        prompt: A descriptive text prompt for the image (e.g., 'city skyline of Nairobi at sunset').
    """
    # Using the pre-loaded tool but wrapping it for clear visibility as requested
    try:
        image = image_generation_tool(prompt)
        # The tool usually returns a path or an image object that Gradio handles
        return image
    except Exception as e:
        return f"Error generating image: {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=[get_current_time_in_timezone, 
    get_travel_recommendations, 
    generate_image, 
    final_answer], ## 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(server_name="0.0.0.0", server_port=7860)