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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 os | |
| import pandas as pd | |
| from eodhd import APIClient | |
| from Gradio_UI import GradioUI | |
| # Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
| def get_intraday_data( | |
| ticker: str, | |
| start: datetime.datetime, | |
| end: datetime.datetime | |
| )-> str: | |
| """A tool that fetches daily intraday data from EOD data service and returns min and max for the day | |
| Args: | |
| ticker: the string representing a stock ticker at exchange | |
| start: timestamp of type datetime.datetime that signals the beginning of the timeframe to fetch. Make sure you pass the beginng of the day using hours and minutes. Use NY timezone | |
| end: timestamp of type datetime.datetime that signals the end of the timeframe to fetch. Make sure you pass the end of the day using hours and minutes. Use NY timezone | |
| """ | |
| eod_token = os.getenv("EOD_API_KEY") | |
| eod_client = APIClient(eod_token) | |
| aggs = eod_client.get_intraday_historical_data( | |
| symbol=ticker, | |
| interval='1m', | |
| from_unix_time=start.timestamp(), | |
| to_unix_time=end.timestamp() | |
| ) | |
| if len(aggs) == 0: | |
| return pd.DataFrame() | |
| df = pd.DataFrame(aggs) | |
| df["date"] = pd.to_datetime(df.timestamp, unit='s') | |
| df.drop(columns=["timestamp", "gmtoffset", "datetime"], inplace=True) | |
| df.date = df.date.dt.tz_localize('UTC') | |
| df.date = df.date.dt.tz_convert('US/Eastern') | |
| df.set_index("date", inplace=True) | |
| max = df.high.max() | |
| min = df.low.min() | |
| return f"Max value: {max}. Min value {min}" | |
| 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_intraday_data], ## 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() |