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@@ -1,7 +1,47 @@
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+#!/usr/bin/env python
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+# -*- encoding: utf-8 -*-
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+'''
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+@Contact : liuyuqi.gov@msn.cn
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+@Time : 2023/05/12 18:19:33
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+@License : Copyright © 2017-2022 liuyuqi. All Rights Reserved.
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+@Desc : whisper voice to text
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+'''
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+
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+import torch
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+from transformers import pipeline
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import gradio as gr
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+# import pytube as pt
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+
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+MODE_NAME="openai/whisper-large-v2"
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+device= 0 if torch.cuda.is_available() else "cpu"
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+
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+pipe = pipeline("automatic-speech-recognition", model=MODE_NAME, device=device,
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+chunk_length_s=30)
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+
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+
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+all_special_ids = pipe.tokenizer.all_special_ids
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+transcribe_token_id = all_special_ids[-5]
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+translate_token_id = all_special_ids[-6]
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+
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-def greet(name):
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- return "Hello " + name + "!!"
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+def transcribe(microphone, state, task="transcribe"):
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+ file = microphone
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+ pipe.model.config.forced_decoder_ids = [[2, transcribe_token_id if task=="transcribe" else translate_token_id]]
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+ text = pipe(file)["text"]
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+ return state + "\n" + text, state + "\n" + text
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-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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-iface.launch()
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+iface = gr.Interface(fn=transcribe,
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+ inputs=[
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+ gr.Audio(source="microphone", type="filepath", optional=True),
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+ gr.State(value="")
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+ ], outputs=[
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+ gr.Textbox(lines=15),
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+ gr.State()],
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+ title="Speech to Text",
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+ layout="horizontal",
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+ theme="huggingface",
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+ live=True,
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+ description="Transcribe speech from your microphone or from a youtube video",
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+ allow_flagging="never",
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+ )
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+iface.launch(enable_queue=True)
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