app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import pandas as pd
import numpy as np
from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool

from Gradio_UI import GradioUI

final_answer = FinalAnswerTool()
visit_webpage = VisitWebpageTool()
web_search = DuckDuckGoSearchTool()

# 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_crypto_price(crypto: str, currency: str) -> str:
    """A tool to fetch real-time cryptocurrency prices from CoinGecko API.
    
    Args:
        crypto: The cryptocurrency symbol (e.g., 'bitcoin', 'ethereum').
        currency: The fiat currency (e.g., 'usd', 'twd').
    
    Returns:
        The current price of the cryptocurrency in the specified currency.
    """
    url = f"https://api.coingecko.com/api/v3/simple/price?ids={crypto}&vs_currencies={currency}"
    try:
        response = requests.get(url)
        response.raise_for_status()
        data = response.json()
        price = data.get(crypto, {}).get(currency, "N/A")
        return f"The current price of {crypto} in {currency} is {price}"
    except requests.RequestException as e:
        return f"Error fetching price: {e}"

@tool
def get_crypto_history(crypto: str, currency: str, days: int) -> str:
    """A tool to fetch historical cryptocurrency prices from CoinGecko API.
    
    Args:
        crypto: The cryptocurrency symbol (e.g., 'bitcoin', 'ethereum').
        currency: The fiat currency (e.g., 'usd', 'twd').
        days: The number of past days to retrieve (e.g., 30 for the past month).
    
    Returns:
        A list of historical prices over the specified time period.
    """
    url = f"https://api.coingecko.com/api/v3/coins/{crypto}/market_chart?vs_currency={currency}&days={days}&interval=daily"
    try:
        response = requests.get(url)
        response.raise_for_status()
        data = response.json()
        prices = data.get("prices", [])

        if not prices:
            return "No historical data available."

        prices_str = "\n".join([f"Date: {pd.to_datetime(p[0], unit='ms').date()}, Price: {p[1]:.2f} {currency}" for p in prices])
        return f"Historical prices for {crypto} in {currency} over {days} days:\n{prices_str}"
    
    except requests.RequestException as e:
        return f"Error fetching historical data: {e}"

@tool
def get_crypto_moving_average(crypto: str, currency: str, days: int, window: int) -> str:
    """A tool to compute the moving average of cryptocurrency prices.
    
    Args:
        crypto: The cryptocurrency symbol (e.g., 'bitcoin', 'ethereum').
        currency: The fiat currency (e.g., 'usd', 'twd').
        days: The number of past days to retrieve.
        window: The moving average window size (e.g., 7 for 7-day SMA).
    
    Returns:
        A list of moving average values.
    """
    url = f"https://api.coingecko.com/api/v3/coins/{crypto}/market_chart?vs_currency={currency}&days={days}&interval=daily"
    try:
        response = requests.get(url)
        response.raise_for_status()
        data = response.json()
        prices = data.get("prices", [])

        if not prices or len(prices) < window:
            return "Not enough data for moving average calculation."

        df = pd.DataFrame(prices, columns=["timestamp", "price"])
        df["date"] = pd.to_datetime(df["timestamp"], unit="ms").dt.date
        df["sma"] = df["price"].rolling(window=window).mean()

        moving_avg_str = "\n".join([f"Date: {df['date'][i]}, SMA: {df['sma'][i]:.2f} {currency}" for i in range(len(df)) if not np.isnan(df['sma'][i])])
        return f"Moving Average (window={window}) for {crypto} in {currency} over {days} days:\n{moving_avg_str}"
    
    except requests.RequestException as e:
        return f"Error fetching historical data: {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' ,'Qwen/Qwen2.5-Coder-32B-Instruct'

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)

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