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Update app.py

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  1. app.py +40 -37
app.py CHANGED
@@ -1,64 +1,67 @@
1
- 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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-
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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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- # 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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+ 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 important to specify the return type
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+ # Keep this format for the tool description / 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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  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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+
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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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  )
63
 
64
+
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  GradioUI(agent).launch()
66
 
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