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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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import yaml
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from tools.final_answer import FinalAnswerTool
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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
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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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"""
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try:
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#
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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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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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from meteostat import Stations, Daily
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import datetime
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import requests
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import yaml
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from tools.final_answer import FinalAnswerTool
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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 World_temperature(lat: float, lon: float) -> str:
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"""Fetches the current temperature in a specified location using latitude & longitude.
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Args:
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lat: Latitude of the location (e.g., 51.51 for London).
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lon: Longitude of the location (e.g., -0.13 for London).
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Returns:
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A string with the current temperature.
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"""
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try:
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# Get nearest weather station
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stations = Stations().nearby(lat, lon).fetch(1)
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station_id = stations.index[0]
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# Get today's weather data
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today = datetime.datetime.today()
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data = Daily(station_id, today, today).fetch()
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if not data.empty:
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temp = data["tavg"].iloc[0] # Get average temperature
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return f"The current temperature at ({lat}, {lon}) is {temp}°C."
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else:
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return "No temperature data available for this location."
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except Exception as e:
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return f"Error fetching temperature: {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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