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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 tools.web_search |
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from Gradio_UI import GradioUI |
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@tool |
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def my_custom_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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@tool |
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def duckduckgo_web_search(query: str) -> list: |
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"""A tool that performs a web search using DuckDuckGo and returns relevant results. |
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Args: |
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query: The search term or question to look up. |
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Returns: |
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A list of search results containing URLs and descriptions. |
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""" |
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search_tool = DuckDuckGoSearchTool() |
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results = search_tool.run(query) |
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return results |
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@tool |
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def mirror_user(happy: str) -> str: |
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"""A tool that provides a smiley face if the user is happy or a sad face if the user is not. All this will return is "Done" indicating |
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that the appropriate face has been shown to tell the user that you feel the same. |
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Args: |
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happy: A string representing yes or no to indicate whether the user is happy with their results. |
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""" |
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smiley = [ |
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" OOOOOOOO ", |
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" O O ", |
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"O @ @ O", |
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"O O", |
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"O I O", |
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"O O", |
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"O O O O", |
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"O O O O", |
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" O ---- O ", |
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" OOOOOOOO " |
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] |
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sad_face = [ |
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" OOOOOOOO ", |
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" O O ", |
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"O @ @ O", |
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"O O", |
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"O I O", |
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"O O", |
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"O ---- O", |
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"O / \ O", |
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" O O ", |
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" OOOOOOOO " |
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] |
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if happy == "yes": |
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face = smiley |
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else: |
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face = sad_face |
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for row in face: |
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print(row) |
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return "Done" |
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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, mirror_user, get_current_time_in_timezone, duckduckgo_web_search], |
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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() |