Upload 8 files
Browse files- README.md +5 -5
- app.py +27 -0
- en.spm.model +3 -0
- ku.spm.model +3 -0
- model.bin +3 -0
- requirements.txt +2 -0
- source_vocabulary.txt +0 -0
- target_vocabulary.txt +0 -0
README.md
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---
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title: Lingvanex En-
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emoji: 🏢
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colorFrom:
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sdk: gradio
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sdk_version: 3.50.
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app_file: app.py
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pinned: false
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license: cc-by-nd-4.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: Lingvanex En-zu Translator
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emoji: 🏢
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colorFrom: red
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colorTo: green
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sdk: gradio
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sdk_version: 3.50.0
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app_file: app.py
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pinned: false
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license: cc-by-nc-nd-4.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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import sentencepiece as spm
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import ctranslate2
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description = "Translator"
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title = "Translate!"
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translator = ctranslate2.Translator("./", device="cpu")
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spm_encoder = spm.SentencePieceProcessor("./en.spm.model")
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spm_decoder = spm.SentencePieceProcessor("./zu.spm.model")
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def translate(text):
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tokens = spm_encoder.encode(text, out_type=str)
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result = translator.translate_batch([tokens])
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output = spm_decoder.decode(result[0].hypotheses[0], out_type=str)
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return output
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iface = gr.Interface(
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translate,
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inputs="text",
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outputs="text"
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)
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iface.launch()
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en.spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ef75f41803ed338ac13aa049e754b74d18de7e62e8d162b567b66a644a07236
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size 762865
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ku.spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d881bd1f605eae2b1b1b6d61143373ea1675fbfa4e78cc70006378ff6f6048ef
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size 776615
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model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:820c4f348cdd8962f13fb11ccaa24e8d00316e1542b5203f4c20ee7611bd9a4f
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size 270162402
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requirements.txt
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ctranslate2
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sentencepiece
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source_vocabulary.txt
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target_vocabulary.txt
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