40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
import gradio as gr
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from transformers import T5Tokenizer, T5ForConditionalGeneration
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from gradio.themes.utils import sizes
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theme = gr.themes.Default(radius_size=sizes.radius_none).set(
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block_label_text_color = '#4D63FF',
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block_title_text_color = '#4D63FF',
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button_primary_text_color = '#4D63FF',
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button_primary_background_fill='#FFFFFF',
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button_primary_border_color='#4D63FF',
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button_primary_background_fill_hover='#EDEFFF',
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)
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tokenizer = T5Tokenizer.from_pretrained("t5-large")
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model = T5ForConditionalGeneration.from_pretrained("t5-large")
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def translation(english, language):
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if language == 'German':
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input_ids = tokenizer("translate English to German: " + english, return_tensors="pt").input_ids
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elif language == 'French':
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input_ids = tokenizer("translate English to French: " + english, return_tensors="pt").input_ids
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else:
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input_ids = tokenizer("translate English to Romanian: " + english, return_tensors="pt").input_ids
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outputs = model.generate(input_ids)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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demo = gr.Interface(fn=translation,
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inputs=['text', gr.inputs.Radio(['German','French','Romanian'], type='value', default='German', label='language')],
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outputs='text',
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theme = theme,
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title = "翻译"
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)
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if __name__ == "__main__":
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demo.queue(concurrency_count=10)
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# demo.launch(server_name = "0.0.0.0", server_port = 7028)
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demo.launch
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