1st_Agent / app.py
Sebastian Wefers
added WorldTides tool to arsenal of agent
cce5d92
raw
history blame
5.44 kB
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")
@tool
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)}"
@tool
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 !
@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_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()