app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import json
from bs4 import BeautifulSoup
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 inspect_web_page(url: str, max_length: int = 5000) -> str:
    """
    Visits a web page, extracts the main text content, and returns it 
    in a clean, readable format for the AI.
    
    Args:
        url (str): The valid URL of the website to visit (e.g., "https://example.com").
        max_length (int): The maximum number of characters to return. Defaults to 5000. Capped at 20000.
    
    Returns:
        str: A JSON formatted string containing the page title and clean body text,
             or an error message if the extraction failed.
    """
    headers = {
        "User-Agent": "AI-Agent-Explorer/1.0"
    }

    HARD_LIMIT = 20000
    
    try:
        # 1. Fetch the page
        response = requests.get(url, headers=headers, timeout=10)
        response.raise_for_status()
        
        # 2. Parse HTML
        soup = BeautifulSoup(response.text, 'html.parser')

        # 3. Clean up: Remove scripts, styles, and navigation to reduce noise
        for script in soup(["script", "style", "nav", "footer", "header"]):
            script.decompose()

        # 4. Extract Title and Text
        page_title = soup.title.string if soup.title else "No Title"
        
        # Get text and clean up whitespace
        text = soup.get_text()
        lines = (line.strip() for line in text.splitlines())
        chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
        clean_text = '\n'.join(chunk for chunk in chunks if chunk)

        # 5. Limit text length (optional, to fit context windows)
        max_chars = min(HARD_LIMIT, max_length)
        if len(clean_text) > max_chars:
            clean_text = clean_text[:max_chars] + "... [Content Truncated]"

        # 6. Return structured result
        return json.dumps({
            "status": "success",
            "title": page_title,
            "content": clean_text
        }, indent=2)

    except Exception as e:
        return json.dumps({
            "status": "error",
            "message": str(e)
        })


@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)}"


search_tool = DuckDuckGoSearchTool(max_results=10)
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=[search_tool, inspect_web_page, get_current_time_in_timezone, 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()