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 bs4 import BeautifulSoup
from duckduckgo_search import ddg
import re

from Gradio_UI import GradioUI

def generate_summary(text: str, num_sentences: int = 5) -> str:
    """
    A simple summarization function that extracts the first few sentences from the text.
    
    Args:
        text: The full text to summarize.
        num_sentences: The number of sentences to include in the summary.
        
    Returns:
        A summary composed of the first few sentences.
    """
    # Split text into sentences based on punctuation
    sentences = re.split(r'(?<=[.!?])\s+', text)
    summary = " ".join(sentences[:num_sentences])
    return summary

# 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 does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@tool
def duckduck_tool(query: str, num_results: int = 5) -> str:
    """
    A tool that uses DuckDuckGo search to retrieve the latest information and webpage content for a given query.
    
    Args:
        query: The search query string.
        num_results: The number of search results to return (default is 5).
        
    Returns:
        A string summarizing the latest information and webpage content related to the query.
    """
    # Perform DuckDuckGo search
    results = ddg(query, max_results=num_results)
    if not results:
        return "No search results found."
    
    combined_content = ""
    
    # Iterate over search results to fetch content
    for result in results:
        url = result.get("href") or result.get("url")
        if not url:
            continue
        try:
            response = requests.get(url, timeout=5)
            if response.status_code == 200:
                soup = BeautifulSoup(response.text, "html.parser")
                # Extract text from paragraph tags
                paragraphs = soup.find_all("p")
                page_text = " ".join(p.get_text() for p in paragraphs)
                combined_content += page_text + "\n"
        except Exception:
            # Skip URLs that cause errors
            continue

    if not combined_content.strip():
        return "No content could be retrieved from the search results."
    
    # Generate a summary using our custom summarization function
    summary = generate_summary(combined_content, num_sentences=5)
    return summary

@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, duckduck_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()