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Delete App.py
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App.py
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from transformers import pipeline
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import gradio as gr
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import time
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p = pipeline("automatic-speech-recognition",model="jonatasgrosman/wav2vec2-large-xlsr-53-spanish")
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pc = pipeline("automatic-speech-recognition",model="softcatala/wav2vec2-large-xlsr-catala")
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pe = pipeline("automatic-speech-recognition",model="jonatasgrosman/wav2vec2-large-xlsr-53-english")
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def transcribe(language,audio, state=""):#language="Spanish",
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time.sleep(2)
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if language=="Spanish":
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state=""
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text = p(audio)["text"]
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if language=="Catalan":
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state=""
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text = pc(audio)["text"]
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if language=="English":
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state=""
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text = pe(audio)["text"]
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state += text + " "
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#text2="Esto es loq ue te he entendido"
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return state, state
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demo=gr.Interface(
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fn=transcribe,
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title="TEDCAS Offline Speech recognition",
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description="1)Select language 2)Click on 'record from microphone' and talk 3)Click on 'stop recording' 4)Click on submit 5)Before starting again, click on 'clear'",
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inputs=[
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gr.Dropdown(["Spanish","Catalan","English"]),
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#gr.Audio(source="microphone", type="filepath", streaming=True),
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gr.inputs.Audio(source="microphone", type="filepath"),
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"state"#,"language"
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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=True).launch()
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)
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demo.launch()
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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=True).launch()
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