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Update app.py
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app.py
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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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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 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 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
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"""
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Args:
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"""
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#
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#
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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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from typing import Dict
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import datetime
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import requests
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import pytz
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from Gradio_UI import GradioUI
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@tool
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def calculate_bandwidth(users: int, usage: Dict[str, int]) -> float:
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"""Calculate the recommended internet speed based on user inputs.
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Args:
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users: The total number of users requiring internet access.
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usage: A dictionary with usage categories as keys and the number of users per category as values.
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Expected keys are:
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- "browsing": Number of users browsing the web.
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- "video_call": Number of users on video calls.
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- "hd_streaming": Number of users streaming in HD.
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- "4k_streaming": Number of users streaming in 4K.
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- "gaming": Number of users gaming online.
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- "remote_work": Number of users working remotely.
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"""
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usage_requirements = {
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"browsing": 1, # Mbps per user
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"video_call": 2, # Mbps per user
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"hd_streaming": 5, # Mbps per user
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"4k_streaming": 25, # Mbps per user
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"gaming": 10, # Mbps per user
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"remote_work": 3 # Mbps per user
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}
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total_bandwidth = sum(usage_requirements[activity] * usage.get(activity, 0) for activity in usage_requirements)
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overhead = 1.2 # 20% overhead for seamless experience
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# Apply overhead of 1.2
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total_bandwidth_with_overhead = total_bandwidth * overhead
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return round(total_bandwidth_with_overhead, 2)
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final_answer = FinalAnswerTool()
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#duck_duck_go_search = DuckDuckGoSearchTool()
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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,calculate_bandwidth], ## Internet bandwidth Calculator 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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