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Parent(s):
401530d
Update app.py
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app.py
CHANGED
@@ -1,10 +1,17 @@
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from transformers import MT5ForConditionalGeneration, AutoTokenizer, Text2TextGenerationPipeline
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import gradio as gr
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trans_mdl = MT5ForConditionalGeneration.from_pretrained("K024/mt5-zh-ja-en-trimmed")
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trans_tokenizer = AutoTokenizer.from_pretrained("K024/mt5-zh-ja-en-trimmed")
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trans_pipe = Text2TextGenerationPipeline(model=trans_mdl, tokenizer=trans_tokenizer)
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def translation_job(job, text):
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# 设置翻译任务和提示语的映射
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job_key = ["中译日", "中译英", "日译中", "英译中", "日译英", "英译日"]
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@@ -15,7 +22,34 @@ def translation_job(job, text):
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print(input)
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response = trans_pipe(input, max_length=100, num_beams=4)
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return response[0]['generated_text']
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with gr.Blocks() as app:
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@@ -29,8 +63,16 @@ with gr.Blocks() as app:
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source_text = gr.Textbox(lines=1, label="翻译文本", placeholder="请输入要翻译的文本")
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trans_result = gr.Textbox(lines=1, label="翻译结果")
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trans_btn = gr.Button("翻译")
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trans_btn.click(translation_job, inputs=[job_name, source_text], outputs=trans_result)
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app.launch()
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from transformers import MT5ForConditionalGeneration, AutoTokenizer, Text2TextGenerationPipeline, AutoModelForSeq2SeqLM
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import gradio as gr
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import re
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# 翻译任务设置
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trans_mdl = MT5ForConditionalGeneration.from_pretrained("K024/mt5-zh-ja-en-trimmed")
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trans_tokenizer = AutoTokenizer.from_pretrained("K024/mt5-zh-ja-en-trimmed")
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trans_pipe = Text2TextGenerationPipeline(model=trans_mdl, tokenizer=trans_tokenizer)
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# 摘要任务设置
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sum_mdl = AutoModelForSeq2SeqLM.from_pretrained("csebuetnlp/mT5_multilingual_XLSum")
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sum_tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/mT5_multilingual_XLSum")
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def translation_job(job, text):
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# 设置翻译任务和提示语的映射
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job_key = ["中译日", "中译英", "日译中", "英译中", "日译英", "英译日"]
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print(input)
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response = trans_pipe(input, max_length=100, num_beams=4)
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return response[0]['generated_text']
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def sum_job(text):
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# 去除源文本中的空格
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WHITESPACE_HANDLER = lambda k: re.sub('\s+', ' ', re.sub('\n+', ' ', k.strip()))
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input_ids = sum_tokenizer(
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[WHITESPACE_HANDLER(text)],
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return_tensors="pt",
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padding="max_length",
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truncation=True,
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max_length=512
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)["input_ids"]
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output_ids = sum_mdl.generate(
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input_ids=input_ids,
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max_length=84,
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no_repeat_ngram_size=2,
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num_beams=4
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)[0]
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response = sum_tokenizer.decode(
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output_ids,
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skip_special_tokens=True,
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clean_up_tokenization_spaces=False
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)
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return response
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with gr.Blocks() as app:
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source_text = gr.Textbox(lines=1, label="翻译文本", placeholder="请输入要翻译的文本")
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trans_result = gr.Textbox(lines=1, label="翻译结果")
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trans_btn = gr.Button("翻译")
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# 多语言自动摘要任务
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with gr.Tab("多语言自动摘要"):
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article_text = gr.Textbox(lines=8, label="待总结文本", placeholder="请输入要进行摘要的文本")
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sum_result = gr.Textbox(lines=2, label="摘要结果")
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sum_btn = gr.Button("摘要")
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trans_btn.click(translation_job, inputs=[job_name, source_text], outputs=trans_result)
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sum_btn.click(sum_job, inputs=article_text, outputs=sum_result)
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app.launch()
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