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import gradio as gr | |
from service import Service | |
prompt = "" | |
scale = 10 | |
n_samples = 4 | |
rows = 2 | |
cols = 2 | |
service = Service() | |
def generate_pkm(prompt): | |
return service.generate(prompt, n_samples=n_samples, rows=rows, cols=cols) | |
with gr.Blocks() as demo: | |
gr.Markdown("Write a prompt to generate a Pokemon!") | |
prompt = gr.Textbox(label="Prompt") | |
image_output = gr.Image() | |
generate = gr.Button("Generate") | |
generate.click(generate_pkm, inputs=prompt, outputs=image_output) | |
gr.Markdown("Models finetuned by: lambdalabs") | |
if __name__ == "__main__": | |
demo.launch() | |