Spaces:
Sleeping
Sleeping
File size: 3,333 Bytes
9b5b26a c19d193 6aae614 a58a41e 8fe992b 9b5b26a a7bf050 5df72d6 9b5b26a a7bf050 a58a41e 9b5b26a 93ac80b a7bf050 9b5b26a a7bf050 a58a41e a7bf050 a58a41e 9b5b26a a58a41e a7bf050 9b5b26a 8c01ffb 6aae614 ae7a494 e121372 bf6d34c 29ec968 fe328e0 13d500a 8c01ffb 9b5b26a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b a7bf050 8c01ffb 861422e 8fe992b 9b5b26a 8c01ffb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 |
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 !
@tool
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
@tool
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,:]
@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_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() |