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2c91872
1
Parent(s):
b3fb379
Create app.py
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app.py
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import torch
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from transformers import (T5ForConditionalGeneration,T5Tokenizer)
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import gradio as gr
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best_model_path = "swcrazyfan/Dekingify-T5-Large"
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model = T5ForConditionalGeneration.from_pretrained(best_model_path)
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tokenizer = T5Tokenizer.from_pretrained("swcrazyfan/Dekingify-T5-Large")
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def tokenize_data(text):
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# Tokenize the review body
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# input_ = "paraphrase: "+ str(text) + ' >'
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input_ = "deking: " + str(text) + ' </s>'
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max_len = 512
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# tokenize inputs
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tokenized_inputs = tokenizer(input_, padding='max_length', truncation=True, max_length=max_len, return_attention_mask=True, return_tensors='pt')
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inputs={"input_ids": tokenized_inputs['input_ids'],
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"attention_mask": tokenized_inputs['attention_mask']}
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return inputs
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def generate_answers(text):
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inputs = tokenize_data(text)
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results= model.generate(input_ids= inputs['input_ids'], attention_mask=inputs['attention_mask'], do_sample=True,
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num_beams=5,
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max_length=512,
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min_length=1,
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early_stopping=True,
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num_return_sequences=1)
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answer = tokenizer.decode(results[0], skip_special_tokens=True)
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return answer
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#iface = gr.Interface(fn=generate_answers, inputs=["Write your text here..."], outputs=["Jamesified text"])
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#iface.launch(inline=False, share=True)
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iface = gr.Interface(title="Dekingify", description="Write anything from around the 17th-century below. Then, click submit to 'Dekingify' it (make the text more modern).", fn=generate_answers, inputs=[gr.inputs.Textbox(label="Original Text",lines=10)], outputs=["text"])
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#iface = gr.Interface(title="King Jamesify” fn=generate_answers, inputs=[gr.inputs.Textbox(label="Original",lines=30)],outputs=[gr.outputs.Textbox(label="King Jamesified", lines=30)])
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iface.launch(inline=False)
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