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

import requests
from bs4 import BeautifulSoup
from transformers import pipeline


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)}"

@tool
def get_productName_and_prices_from_amazon_link(Amazon_link: str) -> str:
    """A tool that gets the product name and price from provided amazon link.
    Args:
        Amazon_link: Amazon product link (e.g., 'https://www.amazon.co.uk/s-Oliver-Mens-Weste-Outdoor-Gilet/dp/B0B5HCKFX4?ref_=ast_sto_dp&psc=1').
    """
    try:

        
        # Amazon product URL
        url = Amazon_link
        
        # Set headers to mimic a real browser
        headers = {
            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
        }
        
        # Send a request to the webpage
        response = requests.get(url, headers=headers)
        
        # Parse the page
        soup = BeautifulSoup(response.content, "html.parser")
        
        # Extract product title
        title = soup.find("span", {"id": "productTitle"}).text.strip()
        
        # Extract product price (may vary based on availability)
        price_element = soup.find("span", class_="a-offscreen")
        price = price_element.text.strip() if price_element else "Price not available"
        
        # Print results
        print(f"Product Name: {title}")
        print(f"Price: {price}")
        
        return f"The Product Name is: {title} and the Price is:{price}"
    except Exception as e:
        return f"Error fetching Product name and price for this link{url}"



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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# 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)


# Load a text-generation model
text_generator = pipeline("text-generation", model="meta-llama/Llama-3-8B-Instruct")


@tool
def generate_text(prompt: str) -> str:
    """A tool that generates text based on a given prompt."""
    output = text_generator(prompt, max_length=100)
    return output[0]["generated_text"]


    

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer,my_custom_tool,get_current_time_in_timezone,get_productName_and_prices_from_amazon_link,image_generation_tool,generate_text], ## 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()