Recent content by the living tribunal

import re # Matches: "that will be 15.56$" (case-insensitive), captures the price _PATTERN = re.compile(r'^that will be\s+(\d+(?:\.\d{1,2})?)\$\s*$', re.IGNORECASE) def price_within_upward_tolerance(text: str, base: float = 15.56, upward_tol: float = 5.0) -> bool: """ Returns True if...

class MyClass: def first_method(self): pass def second_method(self): pass my_attribute = "Hello" def __dir__(self): return sorted(set(super().__dir__() + ['first_method', 'second_method'])) # Preserve default behavior obj = MyClass() print(dir(obj)) # Methods appear...

class MyClass: def first_method(self): pass def second_method(self): pass def __dir__(self): return ['first_method', 'second_method'] # Custom order obj = MyClass() print(dir(obj)) # ['first_method', 'second_method'] @fukurou

@fukurou

Brain.tl post result This skipping the think wait

It will need a busy flag to prevent listening while already listening

import whisper import pyaudio import numpy as np import re import atexit from threading import Event # Audio Settings CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 1 RATE = 16000 MIN_ACTIVE_SECONDS = 0.5 # Minimum speech duration to process exit_event = Event() # Initialize PyAudio...

With atexit cleanup import whisper import pyaudio import numpy as np import re import atexit from threading import Event # Audio Settings CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 1 RATE = 16000 MIN_ACTIVE_SECONDS = 0.5 # Minimum speech duration to process exit_event = Event() #...

🚀 Step 1: Install Dependencies Open a terminal and run: pip install transformers torch sentencepiece (This installs the necessary libraries to run an LLM.) 📥 Step 2: Download the Model Without Git 1. Go to Hugging Face and search for a model like Llama 3, GPT-J, or Mistral. 2. Click on the...