Update app.py
Browse files
app.py
CHANGED
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import gradio as gr
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from transformers import pipeline
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import numpy as np
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import pandas as pd
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import re
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@@ -8,17 +8,29 @@ from pydub.generators import Sine
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import io
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import torch
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pipe = pipeline(
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model=
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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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english_bad_Words = pd.read_csv("english_bad_words_dataset.csv")
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@@ -127,10 +139,10 @@ examples = [
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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_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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import gradio as gr
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from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
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import numpy as np
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import pandas as pd
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import re
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import io
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import torch
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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model_id = "openai/whisper-large-v3"
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model = AutoModelForSpeechSeq2Seq.from_pretrained(
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model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
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)
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model.to(device)
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processor = AutoProcessor.from_pretrained(model_id)
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pipe = pipeline(
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"automatic-speech-recognition",
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model=model,
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tokenizer=processor.tokenizer,
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feature_extractor=processor.feature_extractor,
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max_new_tokens=128,
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chunk_length_s=30,
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batch_size=8,
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torch_dtype=torch_dtype,
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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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english_bad_Words = pd.read_csv("english_bad_words_dataset.csv")
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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_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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