app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from transformers import pipeline

from Gradio_UI import GradioUI
from tools.visit_webpage import VisitWebpageTool

MAX_STEPS = 8
MAX_SEARCH_RESULTS = 5 # should be smaller than MAX_STEPS, as we potentially visit each result, and each visit costs one step

ddg_search_tool = DuckDuckGoSearchTool(max_results=MAX_SEARCH_RESULTS)

@tool
def find_job_websites(job:str, location:str)-> str:
    """A tool that finds websites containing job postings for a job title at a specific location.
    Args:
        job: A string representing the job title.
        location: A string representing the job location.
    Returns:
        A string listing all webpages with jobs fitting the arguments "job" and "location".
        Contains the following per candidate:
        [Website Title](Website URL)
        Description ...\n
    """
    results = ddg_search_tool(f'jobs "{job}" {location}')
    
    return results

visit_webpage = VisitWebpageTool()


## 2. Text Summarizer
#summarizer = pipeline("summarization", model="Falconsai/text_summarization")
#def text_summarizer(text: str) -> str:
#    try:
#        summary = summarizer(text, max_length=1000, min_length=20, do_sample=False)
#        return summary[0]['summary_text']
#    except Exception as e:
#        return f"Error in summarization: {str(e)}"

#@tool
#def visit_webpage_summarization(url:str)-> str:
#    """A tool that visits a webpage at the given url and, reads its content as a markdown string,
#    and extracts relevant information. Use this to browse webpages.
#    Args:
#        url: The url of the webpage to visit.
#    Returns:
#        A summarization containing all relevant information about the webpage's content.
#    """
#    content = visit_webpage(url)
#    
#    return text_summarizer(content)

@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='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)


with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[
        find_job_websites,
        final_answer
    ],
    max_steps=MAX_STEPS,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()