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from transformers import pipeline | |
import gradio as gr | |
pipe = pipeline('text-generation', model='daspartho/prompt-extend') | |
def extend_prompt(prompt): | |
return pipe(prompt+',', num_return_sequences=1)[0]["generated_text"] | |
examples = [ | |
['elon musk as thor'], | |
["giant dragon flying in the sky"], | |
['psychedelic liquids space'], | |
["a coconut laying on the beach"], | |
["peaceful village landscape"], | |
] | |
iface = gr.Interface( | |
description = "Enter a main idea for a prompt, and the model will attempt to add suitable style cues.", | |
article = "<p style='text-align: center'><a href='https://github.com/daspartho/prompt-extend' target='_blank'>Github</a></p>", | |
fn=extend_prompt, | |
inputs=gr.Text(label="Type the prompt here"), | |
outputs=gr.TextArea(label='Extended prompt'), | |
examples=examples, | |
title="Prompt Extend" | |
) | |
iface.launch(enable_queue=False) |