app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import json
from tools.final_answer import FinalAnswerTool
import yfinance as yf
from Gradio_UI import GradioUI

@tool                       
def query_market_asset(symbol: str) -> str:
    """A universal market data tool to query the current price or level of ANY asset.
    
    Supported asset classes include major indices, stocks, ETFs, crypto, and forex.
    
    Args:
        symbol: The specific ticker symbol used by Yahoo Finance. Examples:
                - Indices (requires '^'): '^GSPC' (S&P 500), '^VIX' (Volatility Index), '^DJI' (Dow Jones), '^IXIC' (Nasdaq)
                - Equities / ETFs: 'AAPL' (Apple), 'SPY' (SPDR S&P 500 ETF), 'TLT' (20+ Yr Treasury Bond)
                - Crypto: 'BTC-USD' (Bitcoin), 'ETH-USD' (Ethereum)
                - Forex: 'EURUSD=X' (EUR/USD rate), 'USDCNH=X' (USD/Offshore RMB)
                       
    Returns:
        A JSON-formatted string containing the current price, high/low, timestamp, and asset info.
    """
    symbol = symbol.strip().upper()
    
    try:
        ticker = yf.Ticker(symbol)
        
        data = ticker.history(period="1d", interval="1m")
        
        if not data.empty:
            latest_row = data.iloc[-1]
            current_price = float(latest_row['Close'])
            open_price = float(latest_row['Open'])
            high_price = float(latest_row['High'])
            low_price = float(latest_row['Low'])
            volume = int(latest_row['Volume'])
            timestamp = str(data.index[-1])
            
            result = {
                "status": "success",
                "symbol": symbol,
                "current_price": round(current_price, 4),
                "open": round(open_price, 4),
                "high": round(high_price, 4),
                "low": round(low_price, 4),
                "volume": volume,
                "timestamp": timestamp,
                "data_type": "intraday_1m"
            }
        else:
            info = ticker.info
            current_price = info.get("regularMarketPrice") or info.get("previousClose") or info.get("ask") or info.get("bid")
            
            if current_price:
                result = {
                    "status": "success",
                    "symbol": symbol,
                    "current_price": round(float(current_price), 4),
                    "open": info.get("regularMarketOpen") or info.get("open"),
                    "high": info.get("regularMarketDayHigh") or info.get("dayHigh"),
                    "low": info.get("regularMarketDayLow") or info.get("dayLow"),
                    "volume": info.get("regularMarketVolume") or info.get("volume", 0),
                    "short_name": info.get("shortName", ""),
                    "data_type": "cached_info"
                }
            else:
                result = {
                    "status": "error", 
                    "symbol": symbol, 
                    "message": "No price data could be resolved for this asset."
                }
                
    except Exception as e:
        result = {
            "status": "error",
            "symbol": symbol,
            "message": f"Exception occurred while querying: {str(e)}"
        }
        
    return json.dumps(result, ensure_ascii=False, indent=2)


@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=[get_current_time_in_timezone, final_answer], ## 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()