app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, VisitWebpageTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
from typing import List
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 !
import re
from typing import Dict

@tool
def parse_search_results(query_results: str) -> Dict[str, str]:
    """
    Parses search results text and extracts URLs along with their corresponding description.
    
    Args:
        query_results: A string representing the search results. Each search result is expected to start with a URL,
                       followed by one or more lines of description until the next URL is encountered.
                       
    Returns:
        A dictionary where each key is a URL and the corresponding value is the description text.
    """
    results: Dict[str, str] = {}
    current_url = None
    current_desc = []
    
    # Split the input into lines
    lines = query_results.splitlines()
    print(lines)
    
    # Regex pattern to match a URL (starting with http:// or https://)
    url_pattern = re.compile(r"^(https?://\S+)")
    
    for line in lines:
        stripped_line = line.strip()
        if not stripped_line:
            continue  # Skip empty lines
        
        # Check if the line starts with a URL
        url_match = url_pattern.match(stripped_line)
        if url_match:
            # Save the previous URL and its description if available
            if current_url is not None:
                results[current_url] = " ".join(current_desc).strip()
            # Set the new URL and reset description accumulator
            current_url = url_match.group(1)
            current_desc = []
        else:
            # Accumulate description lines
            current_desc.append(stripped_line)
    
    # Save the last URL and its description if any
    if current_url is not None:
        results[current_url] = " ".join(current_desc).strip()
    
    return results


@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,
)


# 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, parse_search_results, DuckDuckGoSearchTool(), VisitWebpageTool()], ## 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()