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 creating a tender document template
    Args:
        arg1: the tender subject
        arg2: the number of sections
    """

    output = """
                # Tender Document Template: Building a Rag Article Generating System
                
                ## 1. Introduction
                This tender document outlines the requirements for the development of a Rag Article Generating System. The system is intended to automate the process of generating rag articles for various applications.
                
                ## 2. Scope of Work
                The scope of work includes the development, testing, and deployment of a Rag Article Generating System. The system should be capable of:
                - Generating high-quality rag articles based on given criteria.
                - Providing a user-friendly interface for operators.
                - Ensuring data security and privacy.
                
                ## 3. Deliverables
                The deliverables for this tender include:
                - A fully functional Rag Article Generating System.
                - Source code with proper documentation.
                - User manuals and training materials.
                - A one-year warranty and maintenance service.
                
                ## 4. Timeline
                The timeline for the project is as follows:
                - Proposal Submission: [Insert Date]
                - Evaluation Period: [Insert Date]
                - Contract Award: [Insert Date]
                - Development Period: [Insert Date]
                - Deployment: [Insert Date]
                
                ## 5. Evaluation Criteria
                The proposals will be evaluated based on the following criteria:
                - Technical Feasibility: 40%
                - Cost Effectiveness: 30%
                - Experience and Expertise: 20%
                - Customer References: 10%
            """
    return output

@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()

# 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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# 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=[final_answer, image_generation_tool, get_current_time_in_timezone, my_custom_tool], ## 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()