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| import argparse | |
| from moviepy.editor import VideoFileClip | |
| import whisper | |
| import os | |
| import re | |
| def extract_audio(video_path, audio_dir='./audio'): | |
| os.makedirs(audio_dir, exist_ok=True) | |
| base_filename = os.path.splitext(os.path.basename(video_path))[0] | |
| audio_filename = os.path.join(audio_dir, base_filename + '.wav') | |
| video_clip = VideoFileClip(video_path) | |
| video_clip.audio.write_audiofile(audio_filename) | |
| video_clip.close() | |
| return audio_filename | |
| def transcribe_audio(audio_path, model_type='base', transcribed_dir='./transcribed'): | |
| model = whisper.load_model(model_type) | |
| result = model.transcribe(audio_path) | |
| os.makedirs(transcribed_dir, exist_ok=True) | |
| base_filename = os.path.splitext(os.path.basename(audio_path))[0] | |
| transcribed_filename = os.path.join(transcribed_dir, base_filename + '.txt') | |
| with open(transcribed_filename, 'w') as file: | |
| for segment in result['segments']: | |
| start = segment['start'] | |
| end = segment['end'] | |
| text = segment['text'] | |
| file.write(f"[{start:.2f}-{end:.2f}] {text}\n") | |
| return transcribed_filename, result['text'] | |
| def merge_lines(file_path): | |
| timestamp_pattern = re.compile(r'\[(\d+\.\d+)-(\d+\.\d+)\]') | |
| with open(file_path, 'r') as file: | |
| lines = file.readlines() | |
| merged_lines = [] | |
| i = 0 | |
| while i < len(lines): | |
| line = lines[i].strip() | |
| match = timestamp_pattern.match(line) | |
| if match: | |
| start_time = float(match.group(1)) | |
| text = line[match.end():].strip() | |
| if not (text.endswith('.') or text.endswith('?')): | |
| if i + 1 < len(lines): | |
| next_line = lines[i + 1].strip() | |
| next_match = timestamp_pattern.match(next_line) | |
| if next_match: | |
| end_time = float(next_match.group(2)) | |
| next_text = next_line[next_match.end():].strip() | |
| merged_text = text + ' ' + next_text | |
| merged_line = f"[{start_time:.2f}-{end_time:.2f}] {merged_text}\n" | |
| merged_lines.append(merged_line) | |
| i += 1 | |
| else: | |
| end_time = float(match.group(2)) | |
| merged_lines.append(f"[{start_time:.2f}-{end_time:.2f}] {text}\n") | |
| i += 1 | |
| with open(file_path, 'w') as file: | |
| file.writelines(merged_lines) | |
| return file_path | |
| def convert_video_to_text(video_file_path, model_type='base'): | |
| audio_path = extract_audio(video_file_path) | |
| transcribed_path, _ = transcribe_audio(audio_path, model_type) | |
| merge_lines(transcribed_path) | |
| return transcribed_path | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser(description="Transcribe audio from video") | |
| parser.add_argument("video_file", help="Path to the video file") | |
| parser.add_argument("--model", help="Size of the whisper model (e.g., tiny, base, small, medium, large, huge).", default="base") | |
| args = parser.parse_args() | |
| convert_video_to_text(args.video_file, args.model) | |