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SinanAkkoyun 2023-03-23 02:20:01 +01:00
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commit 5e6714ef11
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examples/confidence_per_token.py
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@ -37,21 +37,24 @@ options = whisper.DecodingOptions()
result = whisper.decode(model, mel, options) result = whisper.decode(model, mel, options)
def print_colored_text(tokens: List[int], token_probs: List[float], tokenizer): def get_colored_text(tokens: List[int], token_probs: List[float], tokenizer, prompt: str=""):
init(autoreset=True) # Initialize colorama init(autoreset=True) # Initialize colorama
text_tokens = [tokenizer.decode([t]) for t in tokens] text_tokens = [tokenizer.decode([t]) for t in tokens]
token_probs = token_probs[-len(text_tokens):]
for token, prob in zip(text_tokens, token_probs): output_text = ""
for i, (token, prob) in enumerate(zip(text_tokens, token_probs)):
# Interpolate between red and green in the HSV color space # Interpolate between red and green in the HSV color space
r, g, b = colorsys.hsv_to_rgb(prob * (1/3), 1, 1) r, g, b = colorsys.hsv_to_rgb(prob * (1/3), 1, 1)
r, g, b = int(r * 255), int(g * 255), int(b * 255) r, g, b = int(r * 255), int(g * 255), int(b * 255)
color_code = f"\033[38;2;{r};{g};{b}m" color_code = f"\033[38;2;{r};{g};{b}m"
colored_token = f"{color_code}{Style.BRIGHT}{token}{Style.RESET_ALL}" colored_token = f"{color_code}{Style.BRIGHT}{token}{Style.RESET_ALL}"
print(colored_token, end="") output_text += colored_token
print() return output_text
tokenizer = get_tokenizer(multilingual=model.is_multilingual, language=language, task=options.task) tokenizer = get_tokenizer(multilingual=model.is_multilingual, language=language, task=options.task)
print_colored_text(result.tokens, result.token_probs, tokenizer) # print text with fancy confidence colors print(get_colored_text(result.tokens, result.token_probs, tokenizer)) # print text with fancy confidence colors
# HINT: when using a prompt, you must provide it in the get_colored_text as well