Files changed (1) hide show
  1. app.py +38 -44
app.py CHANGED
@@ -1,69 +1,63 @@
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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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-
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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 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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-
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  final_answer = FinalAnswerTool()
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-
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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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-
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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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-
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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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-
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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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-
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  agent = CodeAgent(
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  model=model,
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- tools=[final_answer], ## 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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- 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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+ from smolagents import CodeAgent, HfApiModel, tool
 
 
 
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  import yaml
 
 
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  from Gradio_UI import GradioUI
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+ import requests
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+ # Example tool to analyze waste data (Пример инструмента для анализа данных о вторсырье)
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  @tool
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+ def analyze_waste_data(data: dict) -> str:
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+ """Analyzes waste data and provides recommendations.
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+ (Анализирует данные о вторсырье и предоставляет рекомендации.)
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+
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  Args:
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+ data: A dictionary containing waste data, including types and quantities of waste.
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+ (Словарь с данными о вторсырье, включающий типы и количество отходов.)
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  """
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+ # Example analysis of data (Пример анализа данных)
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+ waste_types = data.get("types", {})
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+ recommendations = []
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+ for waste_type, amount in waste_types.items():
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+ if amount > 100: # Example threshold value (Пример порогового значения)
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+ recommendations.append(f"It is necessary to collect {waste_type}.")
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+ # (Необходимо вывезти {waste_type}.)
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+
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+ return "\n".join(recommendations)
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+
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+ # Example tool to visualize collection routes (Пример инструмента для визуализации маршрутов)
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  @tool
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+ def visualize_collection_routes(locations: list) -> str:
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+ """Visualizes optimal routes for waste collection.
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+ (Визуализирует оптимальные маршруты для сбора вторсырья.)
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+
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  Args:
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+ locations: A list of coordinates for container locations.
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+ (Список координат местоположений контейнеров.)
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  """
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+ # Example use of a maps API to visualize routes (Пример использования API карт для визуализации маршрутов)
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+ map_url = "https://maps.google.com/?q=" + "&q=".join([f"{lat},{lon}" for lat, lon in locations])
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+ return f"Optimal routes can be viewed at this link: {map_url}"
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+ # (Оптимальные маршруты можно посмотреть по ссылке: {map_url})
 
 
 
 
 
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+ # Load model and create agent (Загрузка модели и создание агента)
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  final_answer = FinalAnswerTool()
 
 
 
 
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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',
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+ custom_role_conversions=None,
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  )
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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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+
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  agent = CodeAgent(
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  model=model,
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+ tools=[final_answer, analyze_waste_data, visualize_collection_routes],
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  max_steps=6,
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  verbosity_level=1,
 
 
 
 
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  prompt_templates=prompt_templates
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  )
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+ GradioUI(agent).launch()
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