Upload utility%2Fcaptions%20%2Ftimed_captions_generator.py

utility/utility%2Fcaptions%20%2Ftimed_captions_generator.py

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+import whisper_timestamped as whisper
+from whisper_timestamped import load_model, transcribe_timestamped
+import re
+
+def generate_timed_captions(audio_filename,model_size="base"):
+    WHISPER_MODEL = load_model(model_size)
+   
+    gen = transcribe_timestamped(WHISPER_MODEL, audio_filename, verbose=False, fp16=False)
+   
+    return getCaptionsWithTime(gen)
+
+def splitWordsBySize(words, maxCaptionSize):
+   
+    halfCaptionSize = maxCaptionSize / 2
+    captions = []
+    while words:
+        caption = words[0]
+        words = words[1:]
+        while words and len(caption + ' ' + words[0]) <= maxCaptionSize:
+            caption += ' ' + words[0]
+            words = words[1:]
+            if len(caption) >= halfCaptionSize and words:
+                break
+        captions.append(caption)
+    return captions
+
+def getTimestampMapping(whisper_analysis):
+   
+    index = 0
+    locationToTimestamp = {}
+    for segment in whisper_analysis['segments']:
+        for word in segment['words']:
+            newIndex = index + len(word['text'])+1
+            locationToTimestamp[(index, newIndex)] = word['end']
+            index = newIndex
+    return locationToTimestamp
+
+def cleanWord(word):
+   
+    return re.sub(r'[^\w\s\-_"\'\']', '', word)
+
+def interpolateTimeFromDict(word_position, d):
+   
+    for key, value in d.items():
+        if key[0] <= word_position <= key[1]:
+            return value
+    return None
+
+def getCaptionsWithTime(whisper_analysis, maxCaptionSize=15, considerPunctuation=False):
+   
+    wordLocationToTime = getTimestampMapping(whisper_analysis)
+    position = 0
+    start_time = 0
+    CaptionsPairs = []
+    text = whisper_analysis['text']
+    
+    if considerPunctuation:
+        sentences = re.split(r'(?<=[.!?]) +', text)
+        words = [word for sentence in sentences for word in splitWordsBySize(sentence.split(), maxCaptionSize)]
+    else:
+        words = text.split()
+        words = [cleanWord(word) for word in splitWordsBySize(words, maxCaptionSize)]
+    
+    for word in words:
+        position += len(word) + 1
+        end_time = interpolateTimeFromDict(position, wordLocationToTime)
+        if end_time and word:
+            CaptionsPairs.append(((start_time, end_time), word))
+            start_time = end_time
+
+    return CaptionsPairs