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Update app.py
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app.py
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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 duckduckgo_search import DDGS
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from tools.ai_act_generator import launch_step_by_step_ui
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#from tools.ai_act_generator import generate_ai_act_register
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from Gradio_UI import GradioUI
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# Below is an example of a tool that does nothing. Amaze us with your creativity !
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@tool
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def my_custom_tool(arg1: str, arg2: int) -> str: # it's important to specify the return type
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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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# 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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@tool
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def ai_act_search_tool(query: str, max_results: int = 5) -> list:
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"""Searches for highly relevant articles on the AI Act using DuckDuckGo.
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Args:
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query: The search query.
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max_results: The maximum number of results to return.
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Returns:
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A list of URLs to relevant articles.
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"""
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with DDGS() as ddgs:
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search_results = ddgs.text(query + " AI Act", max_results)
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return [{"title": result["title"], "link": result["href"]} for result in search_results] if search_results else ["No relevant articles found."]
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#@tool
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#def fetch_url(url: str) -> str:
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# """Fetches the content of a given URL and returns the raw text.
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# Args:
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# url: The URL to fetch content from.
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# Returns:
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# The raw text content of the page, or an error message if fetching fails.
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# """
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# response = requests.get(url)
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# return response.text if response.status_code == 200 else "Failed to fetch content."
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final_answer = FinalAnswerTool()
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visit_webpage = VisitWebpageTool()
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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='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, image_generation_tool, ai_act_search_tool, visit_webpage, launch_step_by_step_ui ], # Added AI Act search tool
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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()
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# app.py
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from tools.ai_act_generator import launch_step_by_step_ui
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if __name__ == "__main__":
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launch_step_by_step_ui()
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