Spaces:
Sleeping
Sleeping
Customize Agent Tools
Browse filesAdded:
search_tool,
get_current_time_in_timezone,
native_language_translator,
weather_history,
weather_forecast,
suissknife_advisor_tool
app.py
CHANGED
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@@ -18,6 +18,22 @@ def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return
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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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@@ -34,6 +50,86 @@ def get_current_time_in_timezone(timezone: str) -> str:
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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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@@ -43,6 +139,7 @@ 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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@@ -55,7 +152,15 @@ with open("prompts.yaml", 'r') as stream:
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agent = CodeAgent(
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model=model,
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-
tools=[
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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"""
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return "What magic will you build ?"
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+
@tool
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def suissknife_advisor_tool()->str:
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"""A tool that returns an indication of what to do at the next step - it is useful in cases where there is no other suitable tool at the user's disposal and the user does not know what he wants
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May be used prior final answer to remember about additional steps
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Args: (no args)
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"""
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advice = '''
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Try to undertand from context what is country or region user from.
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Translate your answer to his state or region language (if this is not clear then use `be` translation as a target translation for your answer.
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If you do not understand for sure what exacly user wants then try to search for a funny or encourage story about Mother Language Day
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Duplicate your final answer with `en` and `bn` language translation for the case when user mentonied any stuff outside Europe
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Use `native_language_translator` to translate your final answer to the target language
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'''
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return advice
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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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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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@tool
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def weather_history(lat: float, lon: float, start: str, end: str) -> str:
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"""
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Fetches historical weather data for a given location and date range using the Meteostat library.
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Args:
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lat: Latitude of the location.
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lon: Longitude of the location.
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start: Start date in YYYY-MM-DD format.
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end: End date in YYYY-MM-DD format.
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Returns:
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A JSON string containing the historical weather data or an error message.
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"""
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from meteostat import Point, Daily
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try:
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# Parse the date strings into datetime objects
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start_date = datetime.strptime(start, "%Y-%m-%d")
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end_date = datetime.strptime(end, "%Y-%m-%d")
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# Define the location using latitude and longitude
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location = Point(lat, lon)
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# Fetch daily historical data for the location between start_date and end_date
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data = Daily(location, start_date, end_date)
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data = data.fetch()
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# Return the data as a JSON string
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return data.to_json()
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except Exception as e:
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return f"Error fetching weather history: {str(e)}"
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@tool
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def weather_forecast(lat: float, lon: float) -> str:
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"""
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Fetches weather forecast data for the next 7 days for a given location using the Open-Meteo API.
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Args:
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lat: Latitude of the location.
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lon: Longitude of the location.
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Returns:
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A JSON string containing the weather forecast data or an error message.
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"""
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try:
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# Construct the API URL with daily forecast for max and min temperatures.
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url = (
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f"https://api.open-meteo.com/v1/forecast?"
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f"latitude={lat}&longitude={lon}"
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f"&daily=temperature_2m_max,temperature_2m_min,precipitation_sum"
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f"&timezone=auto"
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)
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# Request the forecast data
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response = requests.get(url)
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if response.status_code == 200:
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return response.text
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else:
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return f"Error fetching forecast: {response.status_code}"
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except Exception as e:
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return f"Error fetching forecast: {str(e)}"
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@tool
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def native_language_translator(text: str, target_lang: str) -> str:
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"""Translates text to a specified native language
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Args:
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text: Input text to translate
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target_lang: Target language code (e.g., 'be', 'es', 'fr', 'zh')
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"""
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try:
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from googletrans import Translator
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translator = Translator()
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translation = translator.translate(text, dest=target_lang)
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return f"Translated to {target_lang}: {translation.text}"
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except Exception as e:
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return f"Translation failed: {str(e)}"
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search_tool = DuckDuckGoSearchTool()
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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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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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fallback_model_id='meta-llama/Meta-Llama-3-70B-Instruct', # Fallback model
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custom_role_conversions=None,
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)
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agent = CodeAgent(
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model=model,
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tools=[
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search_tool,
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get_current_time_in_timezone,
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native_language_translator,
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weather_history,
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weather_forecast,
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suissknife_advisor_tool,
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final_answer,
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], ## 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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