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 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)}"

# Added comprehensive weather lookup capability using a free API
@tool
def get_current_weather(city: str) -> str:
    """Get current weather for a city using Open-Meteo API
    Args:
        city: City name with country code (e.g., 'Paris,FR')
    """
    try:
        url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true"
        response = requests.get(url)
        return f"Current weather in {city}: {response.json()['current_weather']}"
    except Exception as e:
        return f"Weather lookup failed: {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=0.3,
# model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
custom_role_conversions=None,
)


# Added three complementary tools:
# Web search for factual queries
# Image generation for visual tasks
# Time zone converter for scheduling help*


# 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], ## add your tools here (don't remove final answer)
    tools=[
        final_answer,
        DuckDuckGoSearchTool(),
        image_generation_tool,
        get_current_time_in_timezone
    ],
    max_steps=8, # Increased for complex tasks
    verbosity_level=2, # Better debugging
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


# Key Improvements:

# Multimodal Capabilities: Combines text (search), visual (image gen), and data (weather/time) handling

# Real-world Utility: Handles common user needs like research, scheduling across timezones, and weather checks

# Error Resilience: Uses reliable endpoint and includes proper error handling in tools

# Natural Workflow: Tools complement each other (e.g. search → summarize → generate image)

# Example Use Cases:

# "Show me a futuristic cityscape during golden hour in Tokyo time"

# "Find recent AI breakthroughs and visualize one as an image"

# "What's the weather in Sydney and when would be a good time to call someone there?"




GradioUI(agent).launch()