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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+MNISTmodel.keras filter=lfs diff=lfs merge=lfs -text

MNISTapp.py

@@ -0,0 +1,67 @@
+import os 
+import cv2
+import numpy as np
+import streamlit as st
+from tensorflow.keras.models import load_model
+from streamlit_drawable_canvas import st_canvas
+
+model = load_model('MNISTmodel.keras')
+
+st.title('Hand Written Digit Classification')
+st.header('Liam Frank')
+st.write('Shallow Convolutional Neural Network trained on MNIST dataset')
+st.write("\n" * 4)
+
+col1, col2 = st.columns(2)
+SIZE=200
+
+with col1:
+    st.subheader('Draw a Digit 0-9:')
+    canvas_result = st_canvas(
+        fill_color='#000000',
+        stroke_width=20,
+        stroke_color='#FFFFFF',
+        background_color='#000000',
+        width=SIZE,
+        height=SIZE,
+        drawing_mode="freedraw",
+        key='canvas'
+    )
+
+if canvas_result.image_data is not None:
+    img = cv2.resize(canvas_result.image_data.astype('uint8'), (28, 28))
+    rescaled = cv2.resize(img, (SIZE, SIZE), interpolation=cv2.INTER_NEAREST)
+    
+    with col2:
+        st.subheader('Pixelated Model Input:')
+        st.image(rescaled)
+        
+st.markdown("""
+    <style>
+    div.stButton > button {
+        width: 200px;
+        height: 50px;
+        font-size: 20px;
+        font-weight: bold;
+        color: white;
+        border: none;
+        border-radius: 8px;
+        cursor: pointer;
+        transition: color 0.3s ease; background-color 0.3s ease;
+    }
+    
+    div.stButton > button:hover {
+        background-color: white;
+        color: black;
+    }
+    
+    </style>
+    """, unsafe_allow_html=True)
+
+if st.button('Predict'):
+    with st.spinner("Making prediction..."):
+        test_x = img[:, :, 0]
+        test_x = test_x / 255.0
+        val = model.predict(test_x.reshape(1, 28, 28))
+        st.metric("Result:", np.argmax(val[0]))
+

MNISTmodel.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28eab509dc91143c9da8e334fad514b3d2ae2db8f63fe911d09aeb85a60710ef
+size 1368302

requirements.txt

@@ -0,0 +1 @@
+cv2==4.10.0