mariposas

app.py

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+import streamlit as st
+
+from utils import carga_modelo, general
+
+## Página principal 
+st.title("generador de mariposas")
+st.write("Modelo de Ligth Gan en streamlit")

utils.py

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+import numpy as np
+import torch
+from huggan.pytorch.lightweight_gan.lightweight_gan import LightweightGAN
+
+def carga_modelo(model_name="ceyda/butterfly_cropped_uniq1K_512", model_version=None):
+    gan = LightweightGAN.from_pretrained(model_name, versio=model_version)
+    gan.eval()
+    return gan
+
+def general(gan, batch_size=1):
+    with torch.no_grad():
+        ims = gan.G(torch.rand(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