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import os
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
# Alpha vantage tool suite
AV_TOKEN = os.environ["AV_TOKEN"]
@tool
def ticker_search(keywords: str) -> list[tuple[str, str]]:
"""A tool gets a list of the symbols / tickers you might be looking for in the form tuple["symbol": string, "company name": string].
Args:
keywords: Any keywords for the ticker you are searching for (e.g., "tesco", "BA", etc.)
"""
url = f"https://www.alphavantage.co/query?function=SYMBOL_SEARCH&keywords={keywords}&apikey={AV_TOKEN}"
r = requests.get(url)
data = r.json()
return [(item["1. symbol"], item["2. name"]) for item in data["bestMatches"]]
@tool
def ticker_time_series_intraday(symbol: str) -> list[tuple[str, dict[str, str]]]:
"""A tool that returns the last 100 data points (1 per hour of trading) of intraday OHLCV time series for the specified equity.
Args:
symbol: An equity symbol (e.g., "IBM")
"""
url = f"https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol={symbol}&interval=60min&extended_hours=false&apikey={AV_TOKEN}"
r = requests.get(url)
data = r.json()
return [(datetime, timeseries) for datetime, timeseries in data["Time Series (60min)"].items()]
@tool
def ticker_time_series_daily(symbol: str) -> list[tuple[str, dict[str, str]]]:
"""A tool that returns the last 100 data points (1 per day) of daily time series of the equity specified
Args:
symbol: An equity symbol (e.g., "IBM")
"""
url = f"https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol={symbol}&apikey={AV_TOKEN}"
r = requests.get(url)
data = r.json()
return [(datetime, timeseries) for datetime, timeseries in data["Time Series (Daily)"].items()]
@tool
def ticker_news(symbol: str) -> dict:
"""A tool that returns 50 results of news stories for the specified symbol.
Args:
symbol: A valid ticker symbol
"""
url = f"https://www.alphavantage.co/query?function=NEWS_SENTIMENT&tickers={symbol}&apikey={AV_TOKEN}"
r = requests.get(url)
data = r.json()
return data
# Default tool
@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, get_current_time_in_timezone, ticker_search, ticker_time_series_intraday, ticker_time_series_daily, ticker_news], ## 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() |