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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
import datetime | |
import requests | |
import pytz | |
import yaml | |
from tools.final_answer import FinalAnswerTool | |
import yfinance as yf | |
from Gradio_UI import GradioUI | |
import os | |
import subprocess | |
try: | |
import yfinance | |
except ModuleNotFoundError: | |
subprocess.check_call(["pip", "install", "yfinance"]) | |
import yfinance | |
#AGENT_COUSRE_TOKEN = os.getenv("AGENT_COUSRE_TOKEN") | |
def get_tides_for_location(location: str, date: str = "today") -> str: | |
"""Fetches the high and low tides for a specific date at a given location. | |
Args: | |
location: The name of the city or place (e.g., 'San Francisco'). | |
date: The date for which to fetch tide data (format: 'YYYY-MM-DD' or 'today'). | |
Returns: | |
A string containing high and low tide times for the specified date and location. | |
""" | |
try: | |
# Load API key from environment variable | |
API_KEY = os.getenv("WORLD_TIDES_KEY") | |
if not API_KEY: | |
return "API key is missing. Please set WORLDTIDES_API_KEY in Hugging Face Secrets." | |
# Step 1: Convert location name to latitude & longitude | |
geo_url = f"https://nominatim.openstreetmap.org/search?format=json&q={location}" | |
geo_response = requests.get(geo_url).json() | |
if not geo_response: | |
return f"Could not find coordinates for {location}." | |
lat = geo_response[0]["lat"] | |
lon = geo_response[0]["lon"] | |
# Step 2: Fetch tide data | |
if date == "today": | |
date = datetime.datetime.utcnow().strftime("%Y-%m-%d") # Get today's date in UTC | |
tide_url = f"https://www.worldtides.info/api/v3?extremes&lat={lat}&lon={lon}&date={date}&key={API_KEY}" | |
tide_response = requests.get(tide_url).json() | |
if "extremes" not in tide_response: | |
return f"Could not fetch tide data for {location} on {date}." | |
tides = tide_response["extremes"] | |
if not tides: | |
return f"No tide data available for {location} on {date}." | |
result = f"Tide data for {location} on {date}:\n" | |
for tide in tides: | |
time_utc = tide["date"] | |
tide_type = "High Tide" if tide["type"] == "High" else "Low Tide" | |
result += f"{tide_type} at {time_utc}\n" | |
return result | |
except Exception as e: | |
return f"Error fetching tide data: {str(e)}" | |
def get_stock_price(ticker: str) -> str: | |
"""A tool that fetches the latest closing stock price for a given ticker symbol using Yahoo Finance. | |
Args: | |
ticker: A string representing a valid stock ticker symbol (e.g., 'AAPL' for Apple Inc.). | |
Returns: | |
A string containing the latest closing stock price. | |
Raises: | |
ValueError: If the ticker is invalid or no stock data is available. | |
""" | |
try: | |
stock = yf.Ticker(ticker) | |
history = stock.history(period="1d") | |
if history.empty: | |
raise ValueError(f"No data found for ticker: {ticker}") | |
latest_price = round(history["Close"].iloc[-1], 2) | |
return f"The latest closing stock price for {ticker.upper()} is ${latest_price}" | |
except Exception as e: | |
return f"Error fetching stock price for {ticker}: {str(e)}" | |
# Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
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 ?" | |
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, | |
#token=AGENT_COUSRE_TOKEN | |
) | |
# 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, | |
get_current_time_in_timezone, | |
get_stock_price, | |
get_tides_for_location | |
], | |
max_steps=6, | |
verbosity_level=1, | |
grammar=None, | |
planning_interval=None, | |
name=None, | |
description=None, | |
prompt_templates=prompt_templates | |
) | |
GradioUI(agent).launch() |