Upload app.py

app.py

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+
+import gradio as gr
+from huggingface_hub import from_pretrained_keras
+
+def infer(filepath):
+    image_tensor = np.load(filepath)
+    prediction = model.predict(np.expand_dims(image_tensor, axis=0))[0]
+    confidence = 100 * (1 - prediction[0])
+    return confidence
+
+model = from_pretrained_keras('jalFaizy/3D_CNN')
+
+filepath = gr.inputs.File()
+text = gr.outputs.Textbox()
+
+iface = gr.Interface(
+    infer, 
+    filepath,
+    text,
+    title='3D CNN for CT scans',
+    examples=['example_1_normal.npy']
+)
+
+iface.launch()