Update app.py

app.py

@@ -1,13 +1,12 @@
 from transformers import pipeline
 import gradio as gr
-import random
 generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')
 def query(input_sentence,num,start):
     string3=[]
     for i in range(0,num):
        intial="""These are the few examples of converting original sentences into paraphrased sentences.\n original: The gray clouds were a warning of an approaching storm.\n paraphrase: The coming storm was foretold by the dark clouds.\n original: Giraffes like Acacia leaves and hay, and they can consume 75 pounds of food a day.\n paraphrase: A giraffe can eat up to 75 pounds of Acacia leaves and hay daily.\n """
        full_input=intial+"original:"+input_sentence + "\n paraphrase:"+start
-       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']
+       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]['generated_text']
        string2=string1.split('paraphrase:',3)[-1]
        string3.append(string2.split('.',1)[0]+".")
     return '\n\n'.join([i for i in string3[0:]])