Creado app.py

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+import tensorflow as tf
+
+# Cargar el modelo
+model = tf.keras.models.load_model('modelito1.h5')
+
+model.summary()
+
+def inferir(x_entrada):
+  x_train_min = -100
+  x_train_max = 96
+  y_train_min = -90.0
+  y_train_max = 106
+
+  x_entrada_normalizado = (x_entrada - x_train_min) / (x_train_max - x_train_min)
+  X0 = tf.constant([x_entrada_normalizado], dtype=tf.float32)
+
+  # Realizar la inferencia
+  y0_predicted = model.predict(X0)
+  y0_normalized = y0_predicted[0][0]
+  y0 = y0_normalized * (y_train_max - y_train_min) + y_train_min
+
+  return y0
+
+iface = gr.Interface(
+    fn=inferir,
+    inputs=gr.Number(label="Entrada"),
+    outputs="number",
+    title="Inferencia del Modelo",
+    description="Introduce un valor para realizar la inferencia con el modelo modelito1.h5"
+)
+
+iface.launch()