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| from pywinauto.application import Application | |
| import time | |
| import math | |
| import re | |
| from collections import Counter | |
| WORD = re.compile(r"\w+") | |
| # cosine similarity https://stackoverflow.com/a/15174569/309846 | |
| def get_cosine(vec1, vec2): | |
| """Calculate cosine similarity between two vectors""" | |
| intersection = set(vec1.keys()) & set(vec2.keys()) | |
| numerator = sum([vec1[x] * vec2[x] for x in intersection]) | |
| sum1 = sum([vec1[x] ** 2 for x in list(vec1.keys())]) | |
| sum2 = sum([vec2[x] ** 2 for x in list(vec2.keys())]) | |
| denominator = math.sqrt(sum1) * math.sqrt(sum2) | |
| if not denominator: | |
| return 0.0 | |
| else: | |
| return float(numerator) / denominator | |
| def text_to_vector(text): | |
| """Convert text to a vector""" | |
| words = WORD.findall(text) | |
| return Counter(words) | |
| def is_text_similar_simple(a, b, theta=0.8): | |
| """Check if two text strings are similar if: | |
| - a is tarting with b or | |
| - cosine similarity is greater than \theta | |
| """ | |
| if len(a) == 0 or len(b) == 0: | |
| return False | |
| if a.startswith(b): | |
| return True | |
| if b.startswith(a): | |
| return True | |
| return get_cosine(text_to_vector(a), text_to_vector(b)) > theta | |
| if __name__ == '__main__': | |
| app = Application(backend='uia').connect(path='LiveCaptions.exe') | |
| transcript = [] | |
| if not app.is_process_running(): | |
| print("Live Captions is not running") | |
| else: | |
| try: | |
| print('Recording live captions. Press Ctrl+C to stop.') | |
| text_block = app.top_window().child_window(auto_id="CaptionsTextBlock", control_type="Text") | |
| # Process last two rows of the text block | |
| live_accumulation_buffer = '' | |
| live = '' | |
| while True: | |
| lines = text_block.window_text().splitlines() | |
| if len(lines) == 0: | |
| continue | |
| translated, live = (lines[-2:] if len(lines) > 1 else ["", lines[-1]]) | |
| if not is_text_similar_simple(live, live_accumulation_buffer): | |
| if len(transcript) == 0 or (transcript[-1] != translated): | |
| transcript.append(translated) | |
| live_accumulation_buffer = live | |
| time.sleep(0.1) | |
| except KeyboardInterrupt: | |
| transcript.append(live) | |
| # save the transcript to a file | |
| with open('transcript.txt', 'w', encoding='utf-8') as f: | |
| f.write('\n'.join(transcript)) |