Update app.py

app.py

@@ -0,0 +1,21 @@
+import streamlit as st
+import numpy as np
+import tensorflow as tf
+from PIL import Image, ImageOps
+
+model = tf.keras.models.load_model("model.keras")
+
+st.title(" Handwritten Digit Detection")
+st.write("Upload an image of a digit (28x28 grayscale preferred).")
+
+uploaded_file = st.file_uploader("Choose an image...", type=["png", "jpg", "jpeg"])
+
+if uploaded_file is not None:
+    image = Image.open(uploaded_file).convert('L')  # Convert to grayscale
+    image = ImageOps.invert(image)
+    image = image.resize((28, 28))
+    img_array = np.array(image).reshape(1, 28, 28, 1) / 255.0
+
+    st.image(image, caption="Processed Input", width=150)
+    pred = model.predict(img_array)
+    st.write(f"### Predicted Digit: `{np.argmax(pred)}`")