INNER CODE UNIT · Python

confidence

Niketkumardheeryan/ML-CaPsule · Alzheimer's Disease Predictor/app.py:91

                confidence = float(np.max(prediction[0])) * 100

                # Show result
                st.markdown("## 📊 Prediction Result")
                st.markdown(f"### {COLORS[predicted_class]} {LABELS[predicted_class]}")
                st.progress(confidence / 100)
                st.write(f"**Confidence:** {confidence:.2f}%")
                st.markdown(f"> {DESCRIPTIONS[predicted_class]}")

                # Show all class probabilities
                st.markdown("### 📈 Class Probabilities")
                for i, prob in enumerate(prediction[0]):
                    st.write(f"{LABELS[i]}: **{prob*100:.2f}%**")
                    st.progress(float(prob))

            except Exception as e:
                st.error(f"Error loading model: {e}")
                st.warning("Make sure `alzheimer_model.h5` is in the same folder as `app.py`")

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