Andre Pettersson commited on
Commit
9990b1d
·
verified ·
1 Parent(s): e49ccdd

Leet speak added

Browse files
Files changed (1) hide show
  1. app.py +35 -2
app.py CHANGED
@@ -36,14 +36,47 @@ def get_current_time_in_timezone(timezone: str) -> str:
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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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  #Lib tools
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  visit_webpage = VisitWebpageTool()
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  final_answer = FinalAnswerTool()
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  web_search = DuckDuckGoSearchTool()
 
 
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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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- translate_tool = load_tool("Iker/Translate-100-languages", trust_remote_code=True)
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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'
@@ -61,7 +94,7 @@ with open("prompts.yaml", 'r') as stream:
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  agent = CodeAgent(
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  model=model,
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- tools=[final_answer, visit_webpage, web_search, image_generation_tool, translate_tool], ## 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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  except Exception as e:
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  return f"Error fetching time for timezone '{timezone}': {str(e)}"
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+ @tool
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+ def to_leet_speak(text):
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+ """
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+ Converts a string to l33t speak using a substitution table.
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+
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+ Args:
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+ text (str): The input string to convert.
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+
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+ Returns:
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+ str: The converted l33t speak string.
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+ """
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+ # Substitution table
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+ leet_table_basic = {
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+ 'a': '4',
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+ 'b': '8',
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+ 'e': '3',
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+ 'g': '6',
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+ 'i': '1',
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+ 'l': '1',
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+ 'o': '0',
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+ 's': '5',
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+ 't': '7',
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+ 'z': '2'
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+ }
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+
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+ # Convert the text to l33t speak
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+ leet_text = []
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+ for char in text.lower(): # Convert to lowercase for case-insensitive matching
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+ leet_text.append(leet_table_basic.get(char, char)) # Use substitution if available, else keep the original character
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+
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+ return ''.join(leet_text)
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+
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  #Lib tools
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  visit_webpage = VisitWebpageTool()
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  final_answer = FinalAnswerTool()
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  web_search = DuckDuckGoSearchTool()
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+ to_leet_speak_converter = to_leet_speak()
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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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  # 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, visit_webpage, web_search, image_generation_tool, to_leet_speak_converter], ## 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,