Spaces:
Runtime error
Runtime error
| import streamlit as st | |
| from utils import load_model, genera | |
| ## Mean page | |
| st.title("Butterflies Generator") | |
| st.write("This is a Light GAN model trained and used by me") | |
| ## Sidebar | |
| st.sidebar.subheader("This butterfly not is real, can you believe it?") | |
| st.sidebar.image("assets/logo.png", width=200) | |
| st.sidebar.caption("Demo created live") | |
| ## Load model | |
| repo_id = "ceyda/butterfly_cropped_uniq1K_512" | |
| model_gan = load_model(repo_id) | |
| ## We generated four butterflies | |
| n_butterflies = 4 | |
| def run(): | |
| with st.spinner("Generating, wait a bit..."): | |
| ims = genera(model_gan, n_butterflies) | |
| st.session_state["ims"] = ims | |
| if "ims" not in st.session_state: | |
| st.session_state["ims"] = None | |
| run() | |
| ims = st.session_state["ims"] | |
| run_button = st.button( | |
| "Generate", | |
| on_click=run, | |
| help="We are in fly" | |
| ) | |
| if ims is not None: | |
| cols = st.columns(n_butterflies) | |
| for j, im in enumerate(ims): | |
| i = j % n_butterflies | |
| cols[i].image(im, use_column_width=True) | |