Konstantin Dorichev commited on
Fix file transcribation
Browse files- app.py +7 -3
- requirements.txt +1 -0
app.py
CHANGED
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@@ -2,10 +2,12 @@ import gradio as gr
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from transformers import pipeline
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import numpy as np
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transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-base.en")
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def transcribe(stream, new_chunk):
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sr, y = new_chunk
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# Convert to mono if stereo
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@@ -19,14 +21,16 @@ def transcribe(stream, new_chunk):
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stream = np.concatenate([stream, y])
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else:
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stream = y
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-
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demo = gr.Interface(
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transcribe,
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["state", gr.Audio(sources=["upload"], streaming=False)],
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["state", "text"],
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live=True,
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)
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demo.launch()
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from transformers import pipeline
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import numpy as np
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transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-base.en", return_timestamps=True)
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def transcribe(stream, new_chunk):
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# if stream is not None:
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# print(stream.shape, new_chunk)
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sr, y = new_chunk
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# Convert to mono if stereo
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stream = np.concatenate([stream, y])
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else:
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stream = y
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text = transcriber({"sampling_rate": sr, "raw": stream})["text"]
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# print(text)
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return stream, text
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demo = gr.Interface(
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transcribe,
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["state", gr.Audio(sources=["upload"], streaming=False)],
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["state", "text"],
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# live=True,
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)
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demo.launch()
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requirements.txt
CHANGED
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@@ -1,3 +1,4 @@
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transformers
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numpy
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torch
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transformers
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numpy
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torch
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+
torchaudio
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