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Yuyang2022
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fdfce6c
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Parent(s):
16a78b0
Create 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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from gtts import gTTS
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pipe = pipeline(model="Yuyang2022/yue") # change to "your-username/the-name-you-picked"
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language = "en"
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def translate(audio, language):
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text = pipe(audio)["text"]
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myobj = gTTS(text=text,lang=language, slow=False, lang_check=True)
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return myobj.write_to_fp("wav")
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iface = gr.Interface(
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fn=translate,
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inputs=[gr.Audio(source="microphone", type="filepath"), gr.Textbox(value = "en")],
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outputs="audio",
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title="translation-speeh to speech",
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description="Realtime demo for speech translation.",
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)
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iface.launch()
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