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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 pandas as pd | |
import os | |
from Gradio_UI import GradioUI | |
AlPHA_VANTAGE_KEY = os.getenv('ALPHA_VANTAGE_KEY') | |
# Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
def get_equity_symbol(keyword:str)-> list: | |
"""A tool that search the symbol of equity (company). | |
Args: | |
keyword: name of the equity or company | |
Returns: | |
filtered_data: a list of dicts which included highly similar symbol of the equity and its region | |
""" | |
url = f'https://www.alphavantage.co/query?function=SYMBOL_SEARCH&keywords={keyword}&apikey={AlPHA_VANTAGE_KEY}' | |
response = requests.get(url) | |
data = response.json() | |
filtered_data = [] | |
for data in data: | |
filtered_data.append({'symbol':data['1. symbol'],'region':data['4. region']}) | |
return filtered_data | |
def get_daily_timeseries(symbol:str) -> pd.DataFrame: | |
"""A tool that fetches the daily time series data for the equity. | |
Args: | |
symbol: A string representing a valid equity symbol ( e.g., IBM) | |
""" | |
url = f'https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol={symbol}&apikey={AlPHA_VANTAGE_KEY}' | |
r = requests.get(url) | |
data = r.json() | |
timeseries = (pd.DataFrame(data['Time Series (Daily)']).T).set_index(pd.to_datetime(timeseries.index, format="%Y-%m-%d"), inplace=True) | |
columns = [columns.split(' ')[-1] for columns in timeseries.columns] | |
timeseries.columns = columns | |
return timeseries.iloc[:1,:] | |
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_equity_symbol,get_daily_timeseries], ## 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() |