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app.py
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from smolagents import CodeAgent, DuckDuckGoSearchTool,
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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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return f"Error searching on internet the query '{query}': {str(e)}"
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@tool
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def
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"""
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Args:
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url:
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"""
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try:
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except Exception as e:
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return f"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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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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agent = CodeAgent(
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model=model,
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tools=[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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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 markdownify import markdownify
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import re
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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return f"Error searching on internet the query '{query}': {str(e)}"
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@tool
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def visit_webpage(url: str) -> str:
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"""Visits a webpage at the given URL and returns its content as a markdown string.
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Args:
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url: The URL of the webpage to visit.
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Returns:
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The content of the webpage converted to Markdown, or an error message if the request fails.
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"""
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try:
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# Send a GET request to the URL
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response = requests.get(url)
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response.raise_for_status() # Raise an exception for bad status codes
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# Convert the HTML content to Markdown
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markdown_content = markdownify(response.text).strip()
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# Remove multiple line breaks
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markdown_content = re.sub(r"\n{3,}", "\n\n", markdown_content)
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return markdown_content
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except RequestException as e:
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return f"Error fetching the webpage: {str(e)}"
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except Exception as e:
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return f"An unexpected error occurred: {str(e)}"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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final_answer = FinalAnswerTool()
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web_searcher = DuckDuckGoSearchTool(max_results=5)
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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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agent = CodeAgent(
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model=model,
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tools=[final_answer, web_searcher, visit_webpage],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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