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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+generator_full.keras filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import tensorflow as tf
+import numpy as np
+from pathlib import Path
+from PIL import Image
+
+LATENT_DIM = 100
+MODEL_FILE = Path(__file__).with_name("generator_full.keras")
+
+_gen = None  # cargamos “lazy” para arrancar rápido
+def get_generator():
+    global _gen
+    if _gen is None:
+        _gen = tf.keras.models.load_model(MODEL_FILE, compile=False)
+    return _gen
+
+def generate(digit: int):
+    z   = tf.random.normal([5, LATENT_DIM])
+    lbl = tf.constant([[digit]] * 5)
+    imgs = (get_generator()([z, lbl], training=False) + 1) / 2  # [0,1]
+    return [
+        Image.fromarray((img.numpy() * 255).astype("uint8").squeeze(), mode="L")
+        for img in imgs
+    ]
+
+demo = gr.Interface(
+    fn=generate,
+    inputs=gr.Number(label="Digit 0-9", precision=0, value=4),
+    outputs=gr.Gallery(label="Five samples", columns=5, rows=1),
+    title="Hand-written Digit Generator (cGAN · 20 epochs)",
+    description="Pick a digit and get five MNIST-style images."
+)
+
+if __name__ == "__main__":
+    demo.launch()

generator_full.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4fd39f72321f992b73084050c57ea025760d4dfa0a3460d85fbd74db3bab1033
+size 9386112

requirements.txt

@@ -0,0 +1,4 @@
+gradio==3.40.0          # UI framework
+tensorflow-cpu==2.16.1  # cp312 manylinux_2_34 → compatible con Spaces
+numpy
+Pillow