update

.gitignore

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+.venv
+.vscode

README.md

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+---
+title: Translate
+emoji: 🔥
+colorFrom: purple
+colorTo: green
+sdk: gradio
+sdk_version: 3.6
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from fairseq.models.transformer import TransformerModel
+
+ko2en = TransformerModel.from_pretrained(
+    'model_artifact',
+    checkpoint_file='checkpoint_best.pt',
+    data_name_or_path='model_artifact',
+    bpe='sentencepiece',
+    sentencepiece_model='model_artifact/subword_tokenizer_ko.model',
+    source_lang='ko', target_lang='en'
+)
+
+def translate(input):    
+    return ko2en.translate(input)
+
+callback = gr.CSVLogger()
+
+with gr.Blocks() as demo:
+    gr.Label('웹툰 번역기')
+    input = gr.Textbox(label="Input")
+    output = gr.Textbox(label="Output")
+    input.submit(fn=translate, inputs=input, outputs=output)
+    
+    btn = gr.Button('오류보고')
+    callback.setup([input, output], 'flagged')
+    btn.click(lambda *args: callback.flag(args), [input, output], None, preprocess=False)
+demo.launch()   

model_artifact/.gitattributes

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+checkpoint_best.pt filter=lfs diff=lfs merge=lfs -text

requirements.txt

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+gradio
+fairseq
+sentencepiece