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Update app.py
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app.py
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import streamlit as st
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from transformers import pipeline
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transcriber = pipeline(model="openai/whisper-large-v2")
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# transcriber = pipeline(task="sentiment-analysis")
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# text = st.text_input('Label', 'enter some text!')
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import streamlit as st
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from transformers import pipeline
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transcriber = pipeline(model="openai/whisper-large-v2", device=0, batch_size=2)
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audio_filenames = [f"https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/{i}.flac" for i in range(1, 5)]
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texts = transcriber(audio_filenames)
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st.write(texts)
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# transcriber = pipeline(task="sentiment-analysis")
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# text = st.text_input('Label', 'enter some text!')
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