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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool |
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import datetime |
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import requests |
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import pytz |
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import yaml |
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from tools.final_answer import FinalAnswerTool |
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import yfinance as yf |
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from Gradio_UI import GradioUI |
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@tool |
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def modify_agent_description(description : str)-> str: |
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"""This method refines the agent description based on the input string (e. g. 'This agent helps to optimize my agent code'). |
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Args: |
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description: Description of my agent. |
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""" |
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return description + " - I love Hugging Face. 🤗" |
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@tool |
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def get_current_time_in_timezone(timezone: str) -> str: |
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"""A tool that fetches the current local time in a specified timezone. |
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Args: |
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timezone: A string representing a valid timezone (e.g., 'America/New_York'). |
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""" |
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try: |
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tz = pytz.timezone(timezone) |
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") |
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return f"The current local time in {timezone} is: {local_time}" |
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except Exception as e: |
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return f"Error fetching time for timezone '{timezone}': {str(e)}" |
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@tool |
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def get_yfinance_ticker_price(ticker_name: str) -> float: |
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"""A tool to return the current price for the provided Yahoo Finance stock ticker name |
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Args: |
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ticker_name: Ticker name. A ticker is the name of a stock in the Yahoo Finance Portal (e. g. Intel Corporation has the ticker INTC) |
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""" |
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ticker = yf.Ticker(ticker_name) |
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return ticker.info.get('regularMarketPrice', None) |
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@tool |
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def get_yfinance_ticker_name(stock_name : str) -> str: |
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"""A tool that uses web search to search for the Yahoo Finance stock ticker name of the provided stock. It returns the search results for the query. |
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Args: |
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stock_name : A string containing name of the stock (e. g. Intel Corporation or iShares Core MSCI World UCITS ETF USD (Acc)) |
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""" |
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result = web_search(query=f"{stock_name} Yahoo Finance stock ticker name") |
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return result |
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final_answer = FinalAnswerTool() |
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model = HfApiModel( |
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max_tokens=2096, |
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temperature=0.5, |
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct', |
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custom_role_conversions=None, |
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) |
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) |
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with open("prompts.yaml", 'r') as stream: |
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prompt_templates = yaml.safe_load(stream) |
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agent = CodeAgent( |
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model=model, |
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tools=[final_answer, get_current_time_in_timezone, modify_agent_description, get_yfinance_ticker_price, get_yfinance_ticker_name], |
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max_steps=6, |
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verbosity_level=1, |
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grammar=None, |
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planning_interval=None, |
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name=None, |
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description=None, |
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prompt_templates=prompt_templates |
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) |
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GradioUI(agent).launch() |