Create app.py

app.py

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+import gradio as gr
+import tensorflow as tf
+import numpy as np
+from huggingface_hub import from_pretrained_keras
+
+model = from_pretrained_keras("Hitomiblood/blindness_model_keras")
+
+def classify_image(image):
+  image = image.resize((512, 512))
+  image_array = np.array(inp) / 255.0  # Normalización
+  prediction = inception_net.predict(inp).flatten()
+  return prediction
+
+image = gr.inputs.Image(shape=(512, 512))
+label = gr.outputs.Label(num_top_classes=1)
+
+gr.Interface(fn=classify_image, inputs=image, outputs=label, capture_session=True, theme = "grass").launch()