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 Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_crypto_price_tool(symbol: str, currency: str)-> 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...
    Fetches the current price of a cryptocurrency and market sentiment.
    
    Args:
        symbol: The cryptocurrency identifier name (e.g., 'bitcoin', 'ethereum', 'ripple').
        currency: The currency in which to fetch the price (default is 'usd').

    Returns:
        str: A formatted string with the crypto price and market sentiment.
    """

    try:
        # Fetch crypto price
        price_url = f"https://api.coingecko.com/api/v3/simple/price?ids={symbol.lower()}&vs_currencies={currency.lower()}"
        price_response = requests.get(price_url)
        price_response.raise_for_status()
        price_data = price_response.json()
        price = price_data.get(symbol.lower(), {}).get(currency.lower())

        # Fetch market sentiment
        sentiment_url = "https://api.alternative.me/fng/"
        sentiment_response = requests.get(sentiment_url)
        sentiment_response.raise_for_status()
        sentiment_data = sentiment_response.json()
        market_change = int(sentiment_data["data"][0]["value"])

        # Determine sentiment based on market cap change
        if market_change > 54:
            sentiment = "Bullish 📈"
        elif market_change < 50:
            sentiment = "Bearish 📉"
        else:
            sentiment = "Neutral ⚖️"

        if price is not None:
            return f"{symbol.upper()} price: {price} {currency.upper()} | Market Sentiment: {sentiment}"
        return f"Error: Unable to fetch price for {symbol.upper()} in {currency.upper()}."
    
#    except requests.exceptions.RequestException as e:
#        return f"Error: {e}
    except Exception as e:
        return f"Error: {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)}"


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
    model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', 
    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, my_crypto_price_tool, get_current_time_in_timezone], ## 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()