app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
from datetime import datetime, date
import requests
import pandas as pd
import pytz
import os
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 fetch_historical_price_data(symbol: str, start_date: str) -> list[dict]:
    """
    Fetch daily historical stock price data for a given stock symbol from the start_date. Use
    the date validation logic in the tool to validate the date.

    Args:
        symbol: Stock market symbol such as 'AAPL', 'MSFT', 'NVDA'
        start_date: Start date in 'YYYY-MM-DD' format

    """
    FMP_KEY = os.getenv("FMP_KEY")
    if not FMP_KEY:
        return [{"error": "Missing FMP_KEY environment variable"}]

    # date validation
    today_dt = datetime.now().date()
    try:
        start_dt = datetime.strptime(start_date, "%Y-%m-%d").date()
        
    except ValueError:
        return [{"error": "Invalid date format. Use 'YYYY-MM-DD'."}]

    if start_dt > today_dt:
        return [{"error": f"Start date {start_date} is in the future (after today = {today_dt})."}]

    url = f"https://financialmodelingprep.com/stable/historical-price-eod/non-split-adjusted?symbol={symbol}&from={start_date}&apikey={FMP_KEY}"
    
    try:
        response = requests.get(url)
        if response.status_code != 200:
            return [{"error": f"HTTP {response.status_code} from FMP API"}]
        
        df = pd.DataFrame(response.json())
        df["symbol"] = symbol
        return df.to_dict(orient="records")

    except requests.RequestException as e:
        return [{"error": f"Request failed for {symbol}: {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
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, image_generation_tool, get_current_time_in_timezone, fetch_historical_price_data], ## 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()