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

from diffusers import StableDiffusionPipeline

# 🚀 Vowel & Consonant Counter Tool
@tool
def count_vowels_consonants(word: str) -> Dict[str, int]:
    """Counts the number of vowels and consonants in a given word.

    Args:
        word: A string representing the word.

    Returns:
        A dictionary with counts of vowels and consonants.
    """
    if not word:
        return {"error": "Input word cannot be empty."}

    vowels = "aeiouAEIOU"
    consonants = "bcdfghjklmnpqrstvwxyzBCDFGHJKLMNPQRSTVWXYZ"

    vowel_count = sum(1 for letter in word if letter in vowels)
    consonant_count = sum(1 for letter in word if letter in consonants)

    return {"vowels": vowel_count, "consonants": consonant_count}

# 🌍 Get Time Difference two cities in World.
@tool
def time_difference(city1: str, city2: str) -> str:
    """Calculates the time difference between two cities.

    Args:
        city1: The first city's timezone (e.g., 'America/New_York').
        city2: The second city's timezone (e.g., 'Europe/Istanbul').

    Returns:
        A string indicating the time difference.
    """
    try:
        tz1 = pytz.timezone(city1)
        tz2 = pytz.timezone(city2)
        
        now = datetime.datetime.utcnow()
        time1 = now.astimezone(tz1)
        time2 = now.astimezone(tz2)
        
        difference = (time2 - time1).total_seconds() / 3600
        return f"{city2} is {abs(difference)} hours {'ahead' if difference > 0 else 'behind'} {city1}"
    
    except Exception as e:
        return f"Error: {str(e)}"

# 🌍 Get Current Time in a Given Timezone Tool
@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 Tool
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-VL-72B-Instruct',  # it is possible that this model may be overloaded
    custom_role_conversions=None,
)


@tool
def generate_image_with_sd(prompt: str) -> str:
    """Generates an image using Stable Diffusion v1.5 on CPU.

    Args:
        prompt (str): A text prompt describing the desired image.

    Returns:
        str: File path of the generated image.
    """
    try:
        # Load the model with CPU settings
        pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float32)
        pipe.to("cpu")  

        # Generate the image
        image = pipe(prompt).images[0]

        # Save the image
        output_path = "generated_image.png"
        image.save(output_path)

        return f"Image saved at: {output_path}"
    
    except Exception as e:
        return f"Error generating image: {str(e)}"



with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, count_vowels_consonants, time_difference, get_current_time_in_timezone, generate_image_with_sd],  # Image generation tool ekleniyor
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()