subiendo utils y app

app.py

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+import streamlit as st
+
+from utils import carga_model, genera
+
+##pagina principla
+st.title('Generador de mariposas')
+st.write('este es un model light gan entrenado y utilizado con platzi')
+
+## barra lateral
+st.sidebar.subheader('!Esta mariposa no existe, puedes creerlo?')
+st.sidebar.image('assets/logo.png', width=200)
+st.sidebar.caption('Demo creado en vivo.')
+
+
+## cargamos el model
+repo_id = 'ceyda/butterfly_cropped_uniq1K_512'
+modelo_gan = carga_model(repo_id)
+
+
+## genera 4 mariposas
+
+n_mariposas = 4 
+
+def corre():
+    with st.spinner('Generando, espera sentado...'):
+        ims = genera(modelo_gan, n_mariposas)
+        st.session_state['ims'] = ims 
+
+if 'ims' not in st.session_state:
+    st.session_state['ims'] = None
+    corre()
+
+ims = st.session_stat['ims']
+
+corre_boton = st.button(
+    'Genera mariposas',
+    on_click= corre,
+    help='Estamos en vuelo, abre la imaginacion'
+)
+
+if ims is not None:
+    cols = st.columns(n_mariposas)
+    for j, im in enumerate(ims):
+        i = j % n_mariposa
+        cols[i].image(im, use_column_width=True)

utils.py

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+import numpy as np
+import torch
+from hugga.pytorch.lightweight_gan.lightweight_gan import LightweightGAN
+
+def carga_modelo(model_name='ceyda/butterfly_croppe_uniq1K_512',model_version=None):
+    gan = LightweightGAN.from_pretrained(model_name, vesion=model_version)
+    gan.eval()
+    return gan
+
+def genera(gan, batch_size=1):
+    with torch.no_grad():
+        ims = gan.G(torch.randn(batch_size, gan.latent_dim).clamp_(0.0,1.0)*255)
+        ims = ims.permute(0,2,3,1).deatch().cpu().numpy().asttype(np.uint8)
+        return ims
+