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Update app.py
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app.py
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@@ -1,7 +1,41 @@
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import gradio as gr
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demo
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demo.launch()
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import os
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import tempfile
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import torch
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import gradio as gr
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from transformers import pipeline
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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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def transcribe(inputs, task="transcribe"):
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if inputs is None:
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raise gr.Error("No audio file submitted!")
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output = pipe(
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inputs,
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batch_size=BATCH_SIZE,
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generate_kwargs={"task": task},
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return_timestamps=True
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)
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return output["text"]
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demo = gr.Interface(
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fn=transcribe,
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inputs=["audio"],
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outputs="text",
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title="Transcribe Audio to Text", # Give our demo a title
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)
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demo.launch()
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