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Browse files- .gitattributes +2 -0
- app.py +55 -0
- en-zh_model/config.json +10 -0
- en-zh_model/model.bin +3 -0
- en-zh_model/source_vocabulary.json +0 -0
- en-zh_model/target_vocabulary.json +3 -0
- en2zh_cmodel/config.json +10 -0
- en2zh_cmodel/model.bin +3 -0
- en2zh_cmodel/source_vocabulary.json +0 -0
- en2zh_cmodel/target_vocabulary.json +0 -0
- requirements.txt +1 -0
- split.py +21 -0
- zh-en_model/config.json +10 -0
- zh-en_model/model.bin +3 -0
- zh-en_model/source_vocabulary.json +3 -0
- zh-en_model/target_vocabulary.json +0 -0
- zh2en_cmodel/config.json +10 -0
- zh2en_cmodel/model.bin +3 -0
- zh2en_cmodel/source_vocabulary.json +0 -0
- zh2en_cmodel/target_vocabulary.json +0 -0
.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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en-zh_model/target_vocabulary.json filter=lfs diff=lfs merge=lfs -text
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zh-en_model/source_vocabulary.json filter=lfs diff=lfs merge=lfs -text
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app.py
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#该应用创建工具共包含三个区域,顶部工具栏,左侧代码区,右侧交互效果区,其中右侧交互效果是通过左侧代码生成的,存在对照关系。
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#顶部工具栏:运行、保存、新开浏览器打开、实时预览开关,针对运行和在浏览器打开选项进行重要说明:
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#[运行]:交互效果并非实时更新,代码变更后,需点击运行按钮获得最新交互效果。
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#[在浏览器打开]:新建页面查看交互效果。
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#以下为应用创建工具的示例代码
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import gradio as gr
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import ctranslate2
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from split import split_string
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translator_zh2en = ctranslate2.Translator("zh-en_model/", device="cpu")##路径
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translator2_zh2en = ctranslate2.Translator("zh2en_cmodel/", device="cpu")##路径
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translator_en2zh = ctranslate2.Translator("en-zh_model/", device="cpu")##路径
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translator2_en2zh = ctranslate2.Translator("en2zh_cmodel", device="cpu")##路径
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def translate(input_tokens, input_tokens2, mode):
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input_tokens = input_tokens.split()
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input_tokens2 = input_tokens2.split()
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source = split_string(input_tokens)
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lenth = len(source)
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source2 = split_string(input_tokens2)
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lenth2 = len(source2)
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results = []
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results2 = []
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if mode == "汉译英" :
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results = translator_zh2en.translate_batch(source)##翻译的分词分句
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results2 = translator2_zh2en.translate_batch(source2)##翻译的分词分句
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else :
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results = translator_en2zh.translate_batch(source)##翻译的分词分句
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results2 = translator2_en2zh.translate_batch(source2)##翻译的分词分句
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target = []
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target2 = []
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for i in range(0, lenth, 1):
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target = target + results[i].hypotheses[0]
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for i in range(0, lenth2, 1):
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target2 = target2 + results2[i].hypotheses[0]
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#print(results[0].hypotheses[0])##results[0]为第0句,hypotheses[0]保持0
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##print(results[1].hypotheses[0])
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#return results[0].hypotheses[0]
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return ' '.join(target),' '.join(target2)
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demo = gr.Interface(fn=translate,
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inputs=["text", "text", gr.Dropdown(["汉译英", "英译汉"])],
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outputs=["text", "text"],)
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demo.launch()
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en-zh_model/config.json
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{
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"add_source_bos": false,
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"add_source_eos": false,
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"bos_token": "<s>",
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"decoder_start_token": "<s>",
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"eos_token": "</s>",
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"layer_norm_epsilon": null,
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"multi_query_attention": false,
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"unk_token": "<unk>"
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}
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en-zh_model/model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:48dcd96223ed75212fa052d1ea1cf19346c3e529e2e7ee21eb9b35dcb71df4d6
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size 3465739918
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en-zh_model/source_vocabulary.json
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en-zh_model/target_vocabulary.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:17d939e964beab69401ddbc855fd6122007754cab6313906d4db73c351522894
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size 11621611
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en2zh_cmodel/config.json
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{
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"add_source_bos": false,
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"add_source_eos": true,
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"bos_token": "<s>",
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"decoder_start_token": "</s>",
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"eos_token": "</s>",
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"layer_norm_epsilon": null,
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"multi_query_attention": false,
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"unk_token": "<unk>"
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}
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en2zh_cmodel/model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:151b3fde80e90cdd20552f0cf34e65a26b61e350405f7ed5d738b912544fd6bf
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size 468479022
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en2zh_cmodel/source_vocabulary.json
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en2zh_cmodel/target_vocabulary.json
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requirements.txt
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ctranslate2==4.1.0
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split.py
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def split_string(tokens):
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result = []
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done = 1
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while(len(tokens) > 10 and done):
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done = 0
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for i in range(10, len(tokens), 1):
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if i > 30 :
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if tokens[i] in [".", "。", "!", "!", "?", "?", ",", ",", "……"]:
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result.append(tokens[:i+1])
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tokens = tokens[i+1:]
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done = 1
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break
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else :
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if tokens[i] in [".", "。", "!", "!", "?","?"] :
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result.append(tokens[:i+1])
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tokens = tokens[i+1:]
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done = 1
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break
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if len(tokens) > 0 :
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result.append(tokens)
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return result
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zh-en_model/config.json
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{
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"add_source_bos": false,
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"add_source_eos": false,
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"bos_token": "<s>",
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"decoder_start_token": "<s>",
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"eos_token": "</s>",
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"layer_norm_epsilon": null,
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"multi_query_attention": false,
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"unk_token": "<unk>"
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}
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zh-en_model/model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:03bfefa51ffe9e9e4e5f588373aaa81440eea4f082b8771a2e1523bfa81b581d
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size 3055339918
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zh-en_model/source_vocabulary.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:17d939e964beab69401ddbc855fd6122007754cab6313906d4db73c351522894
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size 11621611
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zh-en_model/target_vocabulary.json
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zh2en_cmodel/config.json
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{
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"add_source_bos": false,
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"add_source_eos": true,
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"bos_token": "<s>",
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"decoder_start_token": "</s>",
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"eos_token": "</s>",
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"layer_norm_epsilon": null,
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"multi_query_attention": false,
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"unk_token": "<unk>"
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}
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zh2en_cmodel/model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:22e8c2c3b0afd5be0941250da5ded3ae3b51dd08667f55d9b072f41fb9a5e8c9
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size 458517550
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zh2en_cmodel/source_vocabulary.json
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zh2en_cmodel/target_vocabulary.json
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