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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 tools.visit_webpage import VisitWebpageTool | |
from tools.web_search import DuckDuckGoSearchTool | |
import os | |
hf_token = os.getenv('HF_TOKEN') | |
from Gradio_UI import GradioUI | |
def get_stock(stock_symbol: str) -> str: | |
""" | |
A tool that returns stock info for a given stock symbol. | |
Args: | |
stock_symbol: A string representing a valid stock symbol (e.g., 'TSLA'). | |
""" | |
url = f"http://api.marketstack.com/v1/eod?access_key=0b5d933a8cc566cbd95c1a56cb6b3382&symbols={stock_symbol}" | |
response = requests.get(url) | |
data = response.json()["data"][0]["close"] | |
return str(data) | |
# Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
def unpopular_opinion()-> str: #it's import to specify the return type | |
"""A tool that returns an unpopular opinion | |
""" | |
return "You are wrong and I am right" | |
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() | |
visite_webpage = VisitWebpageTool() | |
search_duck = DuckDuckGoSearchTool() | |
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, get_stock], ## 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() |