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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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from Gradio_UI import GradioUI |
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@tool |
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def my_cutom_tool(arg1:str, arg2:int)-> str: |
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"""A tool that does nothing yet |
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Args: |
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arg1: the first argument |
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arg2: the second argument |
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""" |
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return "What magic will you build ?" |
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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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import requests |
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from bs4 import BeautifulSoup |
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@tool |
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def get_stock_data(stock_code: str) -> str: |
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"""A tool that fetches the latest stock data for a given stock code from East Money website. |
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Args: |
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stock_code: A string representing the stock code (e.g., 'SH600000' for Shanghai Pudong Development Bank). |
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""" |
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try: |
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url = f"https://quote.eastmoney.com/{stock_code}.html" |
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response = requests.get(url) |
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response.raise_for_status() |
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soup = BeautifulSoup(response.text, 'html.parser') |
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stock_name = soup.find('div', class_='stock-name').text.strip() |
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current_price = soup.find('div', class_='stock-current').text.strip() |
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price_change = soup.find('div', class_='stock-change').text.strip() |
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change_percentage = soup.find('div', class_='stock-change-percent').text.strip() |
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result = f"Stock: {stock_name}\nCurrent Price: {current_price}\nChange: {price_change} ({change_percentage})" |
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return result |
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except Exception as e: |
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return f"Error fetching stock data for code '{stock_code}': {str(e)}" |
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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=[ |
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final_answer, |
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image_generation_tool, |
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get_stock_data], |
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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() |