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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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""" |
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def combine(arg1:str, arg2:int)-> str: #it's import to specify the return type |
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#Keep this format for the description / args / args description but feel free to modify the tool |
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"""A tool that combines two parameters. It checks if the arguments contain integers or numbers and adds those two if they both are candidates for mathematical addition. |
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Otherwise returns a concatenated string" |
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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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def check_int(s): |
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if s[0] in ('-', '+'): |
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return s[1:].isdigit() |
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return s.isdigit() |
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final_var = "" |
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if check_int(arg1) == True and check_int(arg2) == True: |
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final_var = str(arg1+arg2) |
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else: |
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final_var = str(arg1)+str(arg2) |
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return final_var |
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""" |
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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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# Create timezone object |
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tz = pytz.timezone(timezone) |
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# Get current time in that 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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# 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: |
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' |
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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='perplexity-ai/r1-1776', |
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#model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded |
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custom_role_conversions=None, |
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) |
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# Import tool from Hub |
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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, image_generation_tool], ## add your tools here (don't remove final answer) |
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# tools=[final_answer, get_current_time_in_timezone, image_generation_tool, combine], ## add your tools here (don't remove final answer) |
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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() |