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b7585c6
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Parent(s):
2cfe324
Update app.py
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app.py
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@@ -1,15 +1,16 @@
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from transformers import pipeline
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import gradio as gr
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generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')
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def query(input_sentence,num,start):
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string3=[]
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for i in range(0,num):
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intial="""These are the few examples of converting original sentences into paraphrased sentences.\n original: Symptoms of influenza include fever and nasal congestion.\n paraphrase: A stuffy nose and elevated temperature are signs you may have the flu.\n original: Maintaining a creative work environment is not only beneficial to employees, but also to company profits.\n paraphrase: Having a fertile work environment can increase productivity and profitability.\n """
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full_input=intial+"original:"+input_sentence + "\n paraphrase:"+start
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string1=generator(full_input, do_sample=True,max_length= len(full_input.split())+
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string2=string1.split('paraphrase:',3)[-1]
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string3.append(string2.split('.',1)[0]+".")
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return '\n\n'.join([i for i in string3[0:]])
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title = "Paraphrasing"
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description = "Gradio Demo for Paraphrasing"
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gr.Interface(fn=query, inputs=[gr.inputs.Textbox(lines=4, label="Input Text (Single Sentence)"),gr.inputs.Slider( minimum=1, maximum=
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from transformers import pipeline
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import gradio as gr
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import random
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generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')
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def query(input_sentence,num,start):
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string3=[]
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for i in range(0,num):
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intial="""These are the few examples of converting original sentences into paraphrased sentences.\n original: Symptoms of influenza include fever and nasal congestion.\n paraphrase: A stuffy nose and elevated temperature are signs you may have the flu.\n original: Maintaining a creative work environment is not only beneficial to employees, but also to company profits.\n paraphrase: Having a fertile work environment can increase productivity and profitability.\n """
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full_input=intial+"original:"+input_sentence + "\n paraphrase:"+start
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string1=generator(full_input, do_sample=True,max_length= len(full_input.split())+70,min_length=len(full_input.split())+70,temperature=0.65+i*0.05+0.01*random.uniform(1, 10))[0]['generated_text']
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string2=string1.split('paraphrase:',3)[-1]
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string3.append(string2.split('.',1)[0]+".")
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return '\n\n'.join([i for i in string3[0:]])
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title = "Paraphrasing"
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description = "Gradio Demo for Paraphrasing with GPT-NEO. Simply add one line sentence in the Input. It is possible to control the start of output paraphrased sentences using optional Starting Point Input."
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gr.Interface(fn=query, inputs=[gr.inputs.Textbox(lines=4, label="Input Text (Single Sentence)"),gr.inputs.Slider( minimum=1, maximum=5, step=1, default=2, label="Numbers of Outputs"),gr.inputs.Textbox(lines=1, label="Starting Point (optional)")],outputs=["text"],title=title,description=description,enable_queue=True).launch()
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