from smolagents import CodeAgent, OpenAIServerModel,  HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import os
import json
from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool


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)}"


final_answer = FinalAnswerTool()
visit_webpage = VisitWebpageTool()

# 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=8384,
    temperature=0.5,
    #model_id='deepseek-ai/JanusFlow-1.3B',    
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
    custom_role_conversions=None,
    
)
"""
# Initialize the model
model = OpenAIServerModel(
    model_id="grok-beta",
    api_base="https://api.x.ai/v1",  # Correct base URL
    api_key=os.environ.get("XAI_API_KEY", "your-api-key-here"),
)


@tool
def call_grok_api(query: str) -> str:
    """Calls Gork's API with a JSON-encoded query string and returns the response.

    Args:
        query (str): A string representing the query to be JSON-encoded and sent to Gork's API.

    Returns:
        str: A string containing the response from Gork's API, or an error message if the request fails.
    """
    try:
        # Prepare JSON-encoded payload
        payload = json.dumps({
            "model": "grok-beta",  # Use available model, e.g., grok-beta
            "messages": [{"role": "user", "content": query}],
            "stream": False
        })
        # Make API request
        api_key = os.environ.get("XAI_API_KEY", "your-api-key-here")
        response = requests.post(
            "https://api.x.ai/v1/chat/completions",  # Correct xAI API endpoint
            headers={
                "Authorization": f"Bearer {api_key}",
                "Content-Type": "application/json"
            },
            data=payload
        )
        response.raise_for_status()
        return response.json()["choices"][0]["message"]["content"]
    except requests.exceptions.RequestException as e:
        return f"Error calling xAI API: {str(e)}"


# 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=[call_grok_api, visit_webpage ], ## 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,
    add_base_tools=True,
    executor_type="local",
)


GradioUI(agent).launch()