app.py

import os
os.system("pip install 'smolagents[openai]'")  
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool, OpenAIServerModel
import datetime
import requests
import pytz
import yaml
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 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 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' 

from smolagents import tool, DuckDuckGoSearchTool

from smolagents import tool, DuckDuckGoSearchTool

@tool
def search_duckduckgo(query: str, num_results: int = 3) -> str:
    """Performs a web search using DuckDuckGo and returns multiple relevant results.
    
    Args:
        query: The search term.
        num_results: Number of search results to return (default: 3).
    
    Returns:
        A formatted list of search results including title, summary, and link.
    """
    search_tool = DuckDuckGoSearchTool()
    results = search_tool(query)  

    print("DEBUG - Raw results from DuckDuckGo:\n", results)  

    if not results or "## Search Results" not in results:
        return f"No relevant results found for '{query}'."

    result_lines = results.split("\n")
    parsed_results = []
    
    for i in range(len(result_lines)):
        if result_lines[i].startswith("[") and len(parsed_results) < num_results:
            try:
                title_end = result_lines[i].index("]")  # Find the end of the title
                title = result_lines[i][1:title_end]  # Extract title
                link = result_lines[i][title_end+2:].strip()  # Extract link
                
               
                if link.endswith(")"):
                    link = link[:-1]  
                
                # Ensure the link is valid
                if not link.startswith("http"):
                    continue  # Skip invalid links
                
                summary = result_lines[i+1].strip() if i+1 < len(result_lines) else "No summary available."
                
                # Correct Markdown format
                formatted_result = f"🔎 **[{title}]({link})**\n📌 {summary}"
                parsed_results.append(formatted_result)
            
            except Exception as e:
                print(f"Error parsing result: {e}")
                continue  # Skip problematic entries

    if not parsed_results:
        return f"No valid results found for '{query}'."
    
    return "\n\n".join(parsed_results)  # Return formatted results







model = OpenAIServerModel(
    max_tokens=2096,
    temperature=0.5,
    model_id="gpt-4",
    api_key=os.getenv("OPENAI_API_KEY"),
    custom_role_conversions=None,
)

# Import tool from Hub
HF_API_KEY = os.getenv("HF_TOKEN") 

image_generation_tool = load_tool(
    "agents-course/text-to-image",
    trust_remote_code=True,
    token=HF_API_KEY  
)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, get_current_time_in_timezone, image_generation_tool, search_duckduckgo],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()