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Update app.py
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app.py
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import gradio as gr
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import os
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import transformers
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from transformers import pipeline
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import time
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# p = pipeline('automatic-speech-recognition', model='rohitp1/kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset')
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# state = text + " "
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# return state, state
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# gr.Interface(
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# fn=transcribe,
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# inputs=[
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# gr.inputs.Audio(source="microphone", type="filepath"),
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# 'state'
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# ],
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# outputs=[
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# "textbox",
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# "state"
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# ],
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# live=False,
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# api_key=auth_token).launch()
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import gradio as gr
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import os
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import transformers
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from transformers import pipeline, WhisperFromConditionalGeneration
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import time
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# def greet_from_secret(ignored_param):
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# name = os.environ.get('TOKEN')
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# return
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auth_token = os.environ.get('TOKEN')
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model = WhisperFromConditionalGeneration.from_pretrained("rohitp1/kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset",
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use_auth_token=auth_token)
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p = pipeline('automatic-speech-recognition', model=model)
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def transcribe(audio, state=""):
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time.sleep(3)
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text = p(audio)["text"]
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state = text + " "
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return state, state
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gr.Interface(
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fn=transcribe,
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inputs=[
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gr.inputs.Audio(source="microphone", type="filepath"),
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'state'
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],
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outputs=[
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"textbox",
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"state"
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],
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live=False).launch()
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# demo = gr.load(
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# "huggingface/rohitp1/kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset",
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# title="Speech-to-text",
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# inputs="mic",
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# description="Let me try to guess what you're saying!",
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# api_key="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"
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# )
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# demo.launch()
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