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import gradio as gr |
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from transformers import pipeline |
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import os |
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translator = pipeline("translation", model=os.path.join(os.getcwd(),"test-ml-trained"), max_time=5) |
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translator_1 = pipeline("translation", model=os.path.join(os.getcwd(),"test-ml-trained_1"), max_time=5) |
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translator_2 = pipeline("translation", model=os.path.join(os.getcwd(),"test-ml-trained_2"), max_time=5) |
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translator_3 = pipeline("translation", model=os.path.join(os.getcwd(),"test-ml-trained_3"), max_time=5) |
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translator_4 = pipeline("translation", model=os.path.join(os.getcwd(),"test-ml-trained_4"), max_time=5) |
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def en2zh(text): |
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pres=[] |
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enNames=text.split('\n') |
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for name in enNames: |
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pre = translator(name.replace('_',' '), )[0]["translation_text"] |
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pre = pre+'\n'+ translator_1(name.replace('_',' '), )[0]["translation_text"] |
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pre = pre+'\n'+ translator_2(name.replace('_',' '), )[0]["translation_text"] |
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pre = pre+'\n'+ translator_3(name.replace('_',' '), )[0]["translation_text"] |
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pre = pre+'\n'+ translator_4(name.replace('_',' '), )[0]["translation_text"] |
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pres.append(pre) |
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print(name,pre) |
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return '\n\n'.join(pres) |
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inputs=gr.TextArea(lines=10,label='请输入英文字段名(若输入多个,请用换行分隔)',placeholder='以换行\\n为分隔符') |
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outputs=gr.TextArea(lines=10,label='参考转译结果') |
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interface = gr.Interface(fn=en2zh, inputs=inputs, outputs=outputs) |
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interface.launch() |