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import transformers | |
import gradio as gr | |
from transformers import pipeline | |
gpt2 = pipeline('text-generation', model = "Lifan-Z/Chinese-Classic-Poem-Generator-style5x8-GPT2") | |
def poems(st): | |
poems="" | |
sequences = gpt2('<|endoftext|>'+st, max_length=50, do_sample=True, top_k=950, repetition_penalty=1.2, num_return_sequences=20, eos_token_id=0) | |
i=0 | |
for seq in sequences: | |
if (len(seq.get('generated_text')) == 108): | |
poems = poems + (str(seq.get('generated_text'))[13:108]) + "\n\n" | |
i=i+1 | |
if(i==6): | |
return(poems) | |
textbox = gr.Textbox(label="输入0~5个汉字作为诗的开头,以英文空格分隔。(Enter 0~5 Chinese characters to be the beginning of the poem, separated by a space. )", placeholder="白 日 依 山 尽", lines=11) | |
iface = gr.Interface(fn=poems, inputs=textbox, outputs="text") | |
iface.launch() |