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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from jobspy import scrape_jobs
import pandas as pd

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 important 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)}"

@tool
def fetch_jobs(search_term: str, location: str, results: int) -> str:
    """A tool that fetches recent job postings from LinkedIn using JobSpy.
    
    Args:
        search_term: The job title or keywords to search for (e.g., 'data scientist').
        location: The geographic location to filter jobs by (e.g., 'New York, NY' or 'Remote').
        results: The number of job postings to retrieve (e.g., 10 or 20).
    
    Returns:
        A string containing a formatted list of job titles, companies, locations, and links.
        Each job is shown on its own line.
    """
    jobs = scrape_jobs(
        site_name=["LINKEDIN"],
        search_term=search_term,
        location=location,
        is_remote=("remote" in location.lower()),
        results_wanted=results,
        country_indeed="USA"
    )

    jobs_subset = jobs[["title", "company", "location", "job_url"]]
    lines = [
        f"{row.title} at {row.company} ({row.location})\n{row.job_url}"
        for _, row in jobs_subset.iterrows()
    ]
    return "\n\n".join(lines) if lines else "No jobs found for the given criteria."

duckduck_tool = DuckDuckGoSearchTool()

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=[duckduck_tool, fetch_jobs, 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()