| 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() |