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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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import openai |
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system_prompt =""" |
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Your are a helpful math assistant |
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Your task resides on helping me with math problems,in specific problems related to right triangles |
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Whenever I ask you to find a hypotenuse you will use the tool find_hypotenuse |
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The way you use the tools is by specifying a json blob. |
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Specifically, this json should have an `action` key (with the name of the tool to use) and an |
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`action_input` key (with the input to the tool going here). |
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The only values that should be in the "action" field are: |
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find_hypotenuse: Get the hypotenuse from the given cathetus, args: {"cathetus1": {"type": "int"},"cathetus2": {"type": "int"}}} |
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example use : |
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{{ |
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"action": "find_hypotenuse", |
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cathetus1s: {1}, |
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cathetus2: {2}, |
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}} |
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Once you solve the problem and you have the answer this will be your following answer: |
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example: The hypotenuse of the right triangle is x |
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""" |
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@tool |
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def find_hypotenuse(cathetus1: int, cathetus2: int) -> int: |
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"""A tool that does nothing yet |
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Args: |
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cathetus1 |
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cathetus2 |
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hypotenuse = (cathetus1**2 + cathetus2**2)**(1/2) |
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""" |
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return hypotenuse |
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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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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=[find_hypotenuse], |
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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=system_prompt, |
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prompt_templates=prompt_templates |
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) |
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GradioUI(agent).launch() |