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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import random
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
verbose = True
if verbose: printf("Running app.py now\n")
# 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 ?"
## Copied from https://huggingface.co/spaces/iamnamas/nse_stockprice_agent
@tool
def nse_stock_price_tool(stock_ticker:str)-> str:
"""A tool that is used to retrieve the latest closing price of a stock based on the stock ticker from the Indian Stock Exchange (NSE).
example: 'RELIANCE.NS'
Args:
stock_ticker: The stock ticker/symbol for the stock listed in NSE. The exact string input needs to be provided to the function.
Returns:
result_string: A string containing the stock_ticker along with the amount in Rupees.
example: "RELIANCE NS: 1237.22 Rupees."
"""
try:
import math
import yfinance as yf
stock_symbol = stock_ticker
data = yf.download(tickers=stock_symbol, period='1d', interval='1m')
if len(data):
latest_data = data.tail(1)
latest_price = latest_data['Close'].values[0]
return (f"{stock_symbol}: {round(latest_price, 2)} Rupees.")
else:
return "INVALID TICKER/STOCK"
except Exception as e:
traceback.print_exc()
return "INVALID REQUEST"
# Writing my first custom tool
@tool
def toss_a_die(k: int) -> int:
"""A tool to toss a k-sided die / dice and return the value showing on that die / dice.
Args:
k: An integer specifying the number of sides on the die. If not specified, a good default would be to assume k=6 sides.
"""
if k==None: k=6
try:
value = random.randint(1, k)
return value
except Exception as e:
return f"How many sides does the dice have?"
@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 verbose: printf("Defining MODEL_IDS now\n")
MODEL_IDS = [
'https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud/',
'https://jc26mwg228mkj8dw.us-east-1.aws.endpoints.huggingface.cloud/',
'meta-llama/Llama-3.2-1B-Instruct',
'Qwen/Qwen2.5-Coder-32B-Instruct',
'Qwen/Qwen2.5-Coder-1.5B-Instruct'
# Add here wherever model is working for you
]
def is_model_overloaded(model_url):
"""Verify if the model is overloaded doing a test call."""
try:
response = requests.post(model_url, json={"inputs": "Test"})
if response.status_code == 503: # 503 Service Unavailable = Overloaded
return True
return False
except requests.RequestException:
return True # if there are an error is overloaded
def get_available_model():
"""Select the first model available from the list."""
for model_url in MODEL_IDS:
print("trying",model_url,"\n")
if not is_model_overloaded(model_url):
return model_url
return MODEL_IDS[0] # if all are failing, use the first model by dfault
if verbose: printf("Checking available models now\n")
selected_model_id = get_available_model()
model = HfApiModel(
max_tokens=1048,
temperature=0.5,
#model_id='meta-llama/Llama-3.2-1B-Instruct',
#model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
#model_id = 'Qwen/Qwen2.5-Coder-1.5B-Instruct',
model_id = selected_model_id, # model available selected from the list automatically
custom_role_conversions=None,
)
# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) ## https://huggingface.co/spaces/agents-course/text-to-image
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, image_generation_tool, toss_a_die, nse_stock_price_tool], ## add your tools here (don't remove final answer)
max_steps=3,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |