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Update app.py

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  1. app.py +96 -1
app.py CHANGED
@@ -1 +1,96 @@
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- if
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import transformers
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ demo = gr.Blocks()
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+
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+ gpt2_5x4 = pipeline('text-generation', model = "Lifan-Z/Chinese-Classic-Poem-Generator-style5x4-GPT2")
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+ gpt2_7x4 = pipeline('text-generation', model = "Lifan-Z/Chinese-Classic-Poem-Generator-style7x4-GPT2")
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+ gpt2_5x8 = pipeline('text-generation', model = "Lifan-Z/Chinese-Classic-Poem-Generator-style5x8-GPT2")
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+ gpt2_7x8 = pipeline('text-generation', model = "Lifan-Z/Chinese-Classic-Poem-Generator-style7x8-GPT2")
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+
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+
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+ def poems_5x4(st):
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+ poems=""
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+ sequences = gpt2_5x4('<|endoftext|>'+st, max_length=26, do_sample=True, top_k=20, top_p=0.9, repetition_penalty=1.2, num_return_sequences=20, eos_token_id=0)
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+ i=0
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+ for seq in sequences:
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+ if (len(seq.get('generated_text')) == 60):
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+ poems = poems + (str(seq.get('generated_text'))[13:60]) + "\n\n"
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+ i=i+1
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+ if(i==6):
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+ return(poems)
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+
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+ def poems_7x4(st):
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+ poems=""
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+ sequences = gpt2_7x4('<|endoftext|>'+st, max_length=34, do_sample=True, top_k=20, top_p=0.9, repetition_penalty=1.2, num_return_sequences=20, eos_token_id=0)
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+ i=0
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+ for seq in sequences:
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+ if (len(seq.get('generated_text')) == 76):
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+ poems = poems + (str(seq.get('generated_text'))[13:76]) + "\n\n"
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+ i=i+1
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+ if(i==6):
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+ return(poems)
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+
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+
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+ def poems_5x8(st):
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+ poems=""
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+ sequences = gpt2_5x8('<|endoftext|>'+st, max_length=50, do_sample=True, top_k=20, top_p=0.9, repetition_penalty=1.2, num_return_sequences=30, eos_token_id=0)
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+ i=0
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+ for seq in sequences:
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+ if (len(seq.get('generated_text')) == 108):
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+ poems = poems + (str(seq.get('generated_text'))[13:108]) + "\n\n"
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+ i=i+1
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+ if(i==6):
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+ return(poems)
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+
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+
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+ def poems_7x8(st):
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+ poems=""
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+ sequences = gpt2_7x8('<|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)
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+ i=0
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+ for seq in sequences:
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+ if (len(seq.get('generated_text')) == 140):
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+ poems = poems + (str(seq.get('generated_text'))[13:140]) + "\n\n"
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+ i=i+1
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+ if(i==6):
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+ return(poems)
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+
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+
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+
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+ with demo:
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+ gr.Markdown("## **古诗辅助生成器**")
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+ gr.Markdown("### **生活不止眼前的苟且,还有诗和远方**")
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+ gr.Markdown("使用说明:五言古诗的平仄、用韵相当自由,也不限长短,这里只提供四句、八句两种。若想生成五言绝句、律诗,需要自己按平仄、用韵作出选择,再慢慢优化,逐句完成.\
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+ 比如,要用'雨'字开头写一首五言律诗:先输入一个'雨'字,点击生成六首诗。假设只对第二首的头两句诗比较满意,则复制这两句作为输入。第二次再生成六首诗,这次对第五首的前六句满意,\
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+ 再复制这六句作为输入。多次重复即可得到满意的结果。标点符号跟普通文字一样处理,需要注意的是末尾不要是空格。七言诗同样处理. --- Lf-Z 工作室")
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+ with gr.Tabs():
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+ with gr.TabItem("五言四句"):
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+ with gr.Row():
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+ text_input_5x4 = gr.Textbox(label="输入诗的开头文字,以英文空格分隔,末尾不用空格。一次六首,大概7秒。", placeholder="白 日 依 山 尽", lines=1)
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+ text_output_5x4 = gr.Textbox()
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+ button_5x4 = gr.Button("提交")
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+ with gr.TabItem("五言八句"):
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+ with gr.Row():
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+ text_input_5x8 = gr.Textbox(label="输入诗的开头文字,以英文空格分隔,末尾不用空格。一次六首,大概15秒。", placeholder="白 日 依 山 尽", lines=1)
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+ text_output_5x8 = gr.Textbox()
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+ button_5x8 = gr.Button("提交")
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+ with gr.TabItem("七言四句"):
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+ with gr.Row():
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+ text_input_7x4 = gr.Textbox(label="输入诗的开头文字,以英文空格分隔,末尾不用空格。一次六首,大概10秒。", placeholder="山 明 水 净 夜 来 霜", lines=1)
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+ text_output_7x4 = gr.Textbox()
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+ button_7x4 = gr.Button("提交")
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+ with gr.TabItem("七言八句"):
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+ with gr.Row():
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+ text_input_7x8 = gr.Textbox(label="输入诗的开头文字,以英文空格分隔,末尾不用空格。一次六首,大概30秒。", placeholder="山 明 水 净 夜 来 霜", lines=1)
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+ text_output_7x8 = gr.Textbox()
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+ button_7x8 = gr.Button("提交")
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+
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+
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+
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+ button_5x4.click(poems_5x4, inputs=text_input_5x4, outputs=text_output_5x4)
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+ button_5x8.click(poems_5x8, inputs=text_input_5x8, outputs=text_output_5x8)
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+ button_7x4.click(poems_7x4, inputs=text_input_7x4, outputs=text_output_7x4)
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+ button_7x8.click(poems_7x8, inputs=text_input_7x8, outputs=text_output_7x8)
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+
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+ demo.launch(share=True)