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from transformers import pipeline, set_seed
import gradio as grad
import random
gpt2_pipe = pipeline('text-generation', model='succinctly/text2image-prompt-generator')
def generate(starting_text):
seed = random.randint(1, 100000)
set_seed(seed)
response = gpt2_pipe(starting_text, max_length=30, num_return_sequences=random.randint(5, 15))
response_list = "\n".join(response)
return response_list
txt = grad.Textbox(lines=1, label="English", placeholder="English Text here")
out = grad.Textbox(lines=5, label="Generated Text")
grad.Interface(fn=generate,
inputs=txt,
outputs=out,
allow_flagging='never',
cache_examples=False,
theme="default").launch(enable_queue=True, debug=True)
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