| import transformers | |
| import gradio as gr | |
| from transformers import pipeline | |
| gpt2 = pipeline('text-generation', model = "Lifan-Z/Chinese-Classic-Poem-Generator-style7x8-GPT2") | |
| def poems(st): | |
| poems="" | |
| sequences = gpt2('<|endoftext|>'+st, max_length=66, do_sample=True, top_k=20, top_p=0.9, repetition_penalty=1.2, num_return_sequences=40, eos_token_id=0) | |
| i=0 | |
| for seq in sequences: | |
| if (len(seq.get('generated_text')) == 140): | |
| poems = poems + (str(seq.get('generated_text'))[13:140]) + "\n\n" | |
| i=i+1 | |
| if(i==6): | |
| return(poems) | |
| textbox = gr.Textbox(label="输入0~7个汉字作为诗的开头，以英文空格分隔，末尾不用空格。一次六首，大概30秒。(Enter 0~7 Chinese characters to be the beginning of the poem, separated by a space. )", placeholder="山 明 水 净 夜 来 霜", lines=1) | |
| iface = gr.Interface(fn=poems, inputs=textbox, outputs="text") | |
| iface.launch(share=True) |