gigant commited on
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2e6a157
1 Parent(s): 0c26cb3

Create app.py

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  1. app.py +16 -0
app.py ADDED
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+ import gradio as gr
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+ import numpy as np
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+ import torchaudio
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+ import torch
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+ from transformers import pipeline
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+
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+ asr = pipeline("automatic-speech-recognition", model="gigant/romanian-wav2vec2")
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+
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+ def f(audio):
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+ rate, sample = audio
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+ resampler = torchaudio.transforms.Resample(rate, 16_000)
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+ sample_16 = resampler(torch.Tensor(sample)).numpy()
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+ return asr(sample_16)["text"]
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+
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+ app = gr.Interface(fn=f, inputs=gr.inputs.Audio(source="upload", type="numpy", label="Audio"), outputs=gr.outputs.Textbox(type="str", label="Predicted text"))
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+ app.launch()