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from pathlib import Path
import gradio as gr
ANIMALS = [animal.strip() for animal in Path("animals.txt").read_text().splitlines()]
KEYWORDS = [
"cute",
"small",
"cartoon",
"sweet",
"fluffy",
]
MODEL = gr.Interface.load(
"models/artificialguybr/LogoRedmond-LogoLoraForSDXL-V2",
live=False,
preprocess=True,
postprocess=False,
)
def predict(user_prompt: str):
prompt = ", ".join(KEYWORDS)
if user_prompt:
prompt += ", " + user_prompt.lower()
return MODEL(prompt)
select_animal_tab = gr.Interface(
predict,
inputs=[
gr.Dropdown(
choices=ANIMALS, value="Cat", filterable=True, label="Select an animal"
)
],
outputs=[gr.Image(label="Your super cute animal logo 🥺", show_label=True)],
allow_flagging="never",
)
free_input_tab = gr.Interface(
predict,
inputs=[
gr.Textbox(
placeholder="Enter your corporate keywords",
label="Generate your Teklia logo",
)
],
outputs=[gr.Image(label="Your super cute corporate logo 🥺", show_label=True)],
allow_flagging="never",
)
qte_app = gr.TabbedInterface(
[select_animal_tab, free_input_tab],
tab_names=["Cuteness overload", "TekQ-te"],
title="Q-te logo creator",
)
if __name__ == "__main__":
qte_app.launch()
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