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from transformers import pipeline | |
import gradio as gr | |
pipe = pipeline('text-generation', model='prithivMLmods/Stark-Prompt-Extender') | |
def extend_prompt(prompt): | |
return pipe(prompt+',', num_return_sequences=1)[0]["generated_text"] | |
examples = [ | |
["a carnival of robots in a neon cityscape"], | |
["a mermaid playing electric guitar underwater"], | |
["a swarm of fireflies illuminating a moonlit forest"], | |
["a time-traveling pirate ship sailing through a storm of stars"], | |
["a mystical portal hidden in a waterfall"], | |
] | |
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/PRITHIVSAKTHIUR/Prompt-Extender-Gpt' target='_blank'> 🫙</a></p>", | |
fn=extend_prompt, | |
inputs=gr.Text(label="Type the prompt here"), | |
outputs=gr.TextArea(label='Extended prompt'), | |
examples=examples, | |
title="Prompt Extender" | |
) | |
iface.launch(enable_queue=False) |