Update app.py
Browse files
app.py
CHANGED
@@ -7,15 +7,15 @@ from pydub import AudioSegment
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from pydub.generators import Sine
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import io
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MODEL_NAME = "openai/whisper-
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BATCH_SIZE = 8
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pipe = pipeline(
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task="automatic-speech-recognition",
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model=MODEL_NAME,
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chunk_length_s=30,
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)
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arabic_bad_Words = pd.read_csv("arabic_bad_words_dataset.csv")
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@@ -23,14 +23,11 @@ english_bad_Words = pd.read_csv("english_bad_words_dataset.csv")
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def clean_english_word(word):
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# Use regex to remove special characters, punctuation, and spaces around words
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cleaned_text = re.sub(r'^[\s\W_]+|[\s\W_]+$', '', word)
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return cleaned_text
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def clean_arabic_word(word):
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# Define a regex pattern to match any non-Arabic letter character
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pattern = r'[^\u0600-\u06FF]'
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# Replace any character matching the pattern with an empty string
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cleaned_word = re.sub(pattern, '', word)
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return cleaned_word
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@@ -43,14 +40,15 @@ def classifier(word_list_with_timestamp, language):
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list_to_search = set(english_bad_Words["words"])
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for item in word_list_with_timestamp:
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word = clean_english_word(item['text'])
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if word in list_to_search:
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foul_words.append(word)
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negative_timestamps.append(item['timestamp'])
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else:
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list_to_search = list(arabic_bad_Words["words"])
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for item in word_list_with_timestamp:
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word = clean_arabic_word(item['text'])
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for
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if word_in_list == word:
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foul_words.append(word)
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negative_timestamps.append(item['timestamp'])
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@@ -65,7 +63,6 @@ def generate_bleep(duration_ms, frequency=1000):
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def mute_audio_range(audio_filepath, ranges, bleep_frequency=800):
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audio = AudioSegment.from_file(audio_filepath)
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for range in ranges:
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start_time = range[0] - 0.1
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end_time = range[-1] + 0.1
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@@ -123,10 +120,32 @@ examples = [
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["arabic_english_audios/audios/arabic_hate_audio_1.mp3", 'Arabic', 'transcribe', 'word'],
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["arabic_english_audios/audios/arabic_hate_audio_2.flac", 'Arabic', 'transcribe', 'word'],
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["arabic_english_audios/audios/arabic_hate_audio_3.flac", 'Arabic', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_1.wav", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_2.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_3.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_4.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_5.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_6.wav", 'English', 'transcribe', 'word']
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]
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from pydub.generators import Sine
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import io
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MODEL_NAME = "openai/whisper-large-v3"
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BATCH_SIZE = 8
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device = 0 if torch.cuda.is_available() else "cpu"
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pipe = pipeline(
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task="automatic-speech-recognition",
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model=MODEL_NAME,
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chunk_length_s=30,
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device=device,
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)
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arabic_bad_Words = pd.read_csv("arabic_bad_words_dataset.csv")
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def clean_english_word(word):
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cleaned_text = re.sub(r'^[\s\W_]+|[\s\W_]+$', '', word)
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return cleaned_text.lower()
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def clean_arabic_word(word):
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pattern = r'[^\u0600-\u06FF]'
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cleaned_word = re.sub(pattern, '', word)
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return cleaned_word
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list_to_search = set(english_bad_Words["words"])
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for item in word_list_with_timestamp:
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word = clean_english_word(item['text'])
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if word.lower() in list_to_search:
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foul_words.append(word)
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negative_timestamps.append(item['timestamp'])
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break
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else:
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list_to_search = list(arabic_bad_Words["words"])
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for item in word_list_with_timestamp:
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word = clean_arabic_word(item['text'])
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for word in list_to_search:
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if word_in_list == word:
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foul_words.append(word)
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negative_timestamps.append(item['timestamp'])
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def mute_audio_range(audio_filepath, ranges, bleep_frequency=800):
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audio = AudioSegment.from_file(audio_filepath)
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for range in ranges:
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start_time = range[0] - 0.1
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end_time = range[-1] + 0.1
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["arabic_english_audios/audios/arabic_hate_audio_1.mp3", 'Arabic', 'transcribe', 'word'],
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["arabic_english_audios/audios/arabic_hate_audio_2.flac", 'Arabic', 'transcribe', 'word'],
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["arabic_english_audios/audios/arabic_hate_audio_3.flac", 'Arabic', 'transcribe', 'word'],
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["arabic_english_audios/audios/arabic_hate_audio_31.mp3", 'Arabic', 'transcribe', 'word'],
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["arabic_english_audios/audios/arabic_hate_audio_32.mp3", 'Arabic', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_1.wav", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_2.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_3.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_31.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_32.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_33.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_34.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_35.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_36.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_37.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_38.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_39.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_40.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_4.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_41.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_42.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_43.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_44.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_45.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_46.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_48.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_49.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_5.mp3", 'English', 'transcribe', 'word'],
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["arabic_english_audios/audios/english_audio_6.wav", 'English', 'transcribe', 'word']
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]
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