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app.py
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@@ -1,12 +1,9 @@
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import gradio as gr
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import torch
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ko-en")
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model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ko-en")
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device = 0 if torch.cuda.is_available() else -1
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demo = gr.Interface(
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inputs=[
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gr.components.Textbox(label="Text"),
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ko-en")
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model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ko-en")
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demo = gr.Interface(
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inputs=[
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gr.components.Textbox(label="Text"),
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