subiendo utils y app

app.py

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+import  streamlit as st
+
+from utils import carga_modelo, genera
+st.title("Generador de mariposas")
+st.write("Este es un modelo Light GAN entrenado y utilizado con Platzi")
+
+st.sidebar.subheader("Esta mariposa es creada artificialmente, no es real")
+st.sidebar.image("assets/logo.png", width=200)
+st.sidebar.caption("Demo creado en vivo.")
+
+repo_id = "ceyda/butterfly_cropped_uniq1K_512"
+modelo_gan = carga_modelo(repo_id)
+
+n_mariposas = 4
+
+def corre():
+    with st.spinner("Generando, Espera"):
+            ims = genera(modelo_gan, n_mariposas)
+            st.session_state["ims"] = ims
+
+if "ims" not st.session_state:
+        st.session_state["ims"] = None
+        corre()
+
+ims = st.session_state["ims"]
+
+corre_boton = st.button(
+       "Genera mariposas"
+       on_click=corre,
+       help="Estamos en vuelo, mira atentamente"
+)
+
+if ims is not None:
+       cols = st.columns(n_mariposas)
+       for j, im in enumerate(ims):
+               i = j % n_mariposas
+               cols[i].image(im, use_column_width=True)
+
+               

utils.py

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+import numpy as np
+import torch 
+from huggan.pytorch.lightweight_gan.Ligthweight_gan import LightweightGAN
+
+def carga_modelo(model_name="ceyda/butterfly_cropped_uniq1K_512", model_version=None):
+        gan = LightweightGAN.from_pretrained(model_name, version=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().astype(np.uint8)
+
+        return ims