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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
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def live_crypto_price(cryptocurrencies:list)-> 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 gets the live crypto currency prices of specified crypto currencies.
Args:
cryptocurrencies: list containing the cryptocurrencies of which prices are required (e.g., ['bitcoin', 'cardano'])
"""
results = []
# try:
# url = "https://api.coingecko.com/api/v3/simple/price"
# cryptos = ','.join(c for c in cryptocurrencies)
# parms = {"ids": cryptos,
# "vs_currencies": "inr"}
# response = requests.get(url, params=params)
# data = response.json()
# for keys, values in data.items():
# results.append(f"the price of {keys} is {values['inr']}.")
# return ''.join(result for result in results)
# except:
# return f"Error fetching prices for {cryptos}."
url = "https://api.coingecko.com/api/v3/simple/price"
cryptos = ','.join(c for c in cryptocurrencies)
parms = {"ids": cryptos,
"vs_currencies": "inr"}
response = requests.get(url, params=parms)
data = response.json()
for keys, values in data.items():
results.append(f"the price of {keys} is {values['inr']}.")
return ''.join(result for result in results)
@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, live_crypto_price], ## 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() |