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Update Home.py
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Home.py
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@@ -4,17 +4,17 @@ from keras.models import load_model
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import numpy as np
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import cv2
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# --- Page
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st.set_page_config(page_title="Digit
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# --- Custom
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st.markdown("""
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Orbitron:wght@500&family=Outfit:wght@300;400;600&display=swap');
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html, body, [class*="css"] {
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font-family: 'Outfit', sans-serif;
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background: linear-gradient(to right, #
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color: white;
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}
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@@ -23,16 +23,27 @@ h1 {
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color: #00fff7;
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font-size: 3em;
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text-align: center;
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text-shadow: 0 0
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margin-bottom:
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}
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p {
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text-align: center;
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font-size: 1.1em;
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color: #
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margin-top: 0;
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margin-bottom:
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}
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.prediction-box {
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@@ -43,8 +54,7 @@ p {
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background: rgba(255, 255, 255, 0.05);
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padding: 20px;
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border-radius: 15px;
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box-shadow: 0 0
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margin-top: 25px;
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}
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.emoji {
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@@ -55,13 +65,13 @@ p {
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</style>
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""", unsafe_allow_html=True)
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# --- Title +
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st.markdown("<h1>Digit Recognizer</h1>", unsafe_allow_html=True)
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st.markdown("<p>Draw a digit
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# --- Sidebar
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st.sidebar.
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drawing_mode = st.sidebar.selectbox("
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stroke_width = st.sidebar.slider("Stroke Width", 1, 25, 10)
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stroke_color = st.sidebar.color_picker("Stroke Color", "#FFFFFF")
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bg_color = st.sidebar.color_picker("Background Color", "#000000")
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@@ -74,20 +84,10 @@ def load_mnist_model():
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model = load_mnist_model()
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# ---
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st.markdown(""
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<div style="display: flex; justify-content: center; align-items: center; padding: 30px 0;">
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<div style="
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background: rgba(255, 255, 255, 0.05);
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padding: 25px;
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border-radius: 20px;
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box-shadow: 0 0 20px rgba(0, 255, 255, 0.2);
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backdrop-filter: blur(10px);
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">
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""", unsafe_allow_html=True)
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canvas_result = st_canvas(
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fill_color="rgba(255, 255, 255, 0.
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stroke_width=stroke_width,
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stroke_color=stroke_color,
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background_color=bg_color,
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@@ -97,10 +97,9 @@ canvas_result = st_canvas(
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drawing_mode=drawing_mode,
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key="canvas"
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)
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# --- Prediction Output ---
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if canvas_result.image_data is not None:
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img = cv2.cvtColor(canvas_result.image_data.astype("uint8"), cv2.COLOR_RGBA2GRAY)
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img_resized = cv2.resize(img, (28, 28))
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@@ -113,3 +112,4 @@ if canvas_result.image_data is not None:
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st.markdown(f"<div class='prediction-box'>Prediction: {predicted_digit}</div>", unsafe_allow_html=True)
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st.markdown(f"<div class='emoji'>{['0️⃣','1️⃣','2️⃣','3️⃣','4️⃣','5️⃣','6️⃣','7️⃣','8️⃣','9️⃣'][predicted_digit]}</div>", unsafe_allow_html=True)
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import numpy as np
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import cv2
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# --- Page Config ---
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st.set_page_config(page_title="Digit AI", layout="centered")
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# --- Custom UI Styling ---
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st.markdown("""
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Orbitron:wght@500&family=Outfit:wght@300;400;600&display=swap');
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html, body, [class*="css"] {
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font-family: 'Outfit', sans-serif;
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background: linear-gradient(to right, #090909, #1f1c2c);
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color: white;
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}
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color: #00fff7;
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font-size: 3em;
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text-align: center;
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text-shadow: 0 0 10px #00fff7;
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margin-bottom: 0;
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}
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p {
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text-align: center;
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font-size: 1.1em;
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color: #ccc;
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margin-top: 0;
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margin-bottom: 30px;
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}
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.canvas-wrapper {
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display: flex;
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justify-content: center;
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background: rgba(255,255,255,0.05);
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padding: 25px;
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border-radius: 25px;
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box-shadow: 0 8px 24px rgba(0,255,255,0.1);
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backdrop-filter: blur(10px);
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margin-bottom: 30px;
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}
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.prediction-box {
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background: rgba(255, 255, 255, 0.05);
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padding: 20px;
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border-radius: 15px;
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box-shadow: 0 0 15px rgba(0,255,255,0.4);
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}
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.emoji {
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</style>
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""", unsafe_allow_html=True)
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# --- Title + Description ---
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st.markdown("<h1>Digit Recognizer</h1>", unsafe_allow_html=True)
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st.markdown("<p>Draw a digit (0–9) below and see what the AI thinks it is!</p>", unsafe_allow_html=True)
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# --- Sidebar Settings ---
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st.sidebar.markdown("### ✏️ Drawing Settings")
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drawing_mode = st.sidebar.selectbox("Tool", ("freedraw", "line", "rect", "circle", "transform"))
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stroke_width = st.sidebar.slider("Stroke Width", 1, 25, 10)
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stroke_color = st.sidebar.color_picker("Stroke Color", "#FFFFFF")
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bg_color = st.sidebar.color_picker("Background Color", "#000000")
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model = load_mnist_model()
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# --- Canvas Drawing Area ---
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st.markdown('<div class="canvas-wrapper">', unsafe_allow_html=True)
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canvas_result = st_canvas(
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fill_color="rgba(255, 255, 255, 0.05)",
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stroke_width=stroke_width,
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stroke_color=stroke_color,
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background_color=bg_color,
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drawing_mode=drawing_mode,
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key="canvas"
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)
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st.markdown('</div>', unsafe_allow_html=True)
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# --- Prediction Display ---
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if canvas_result.image_data is not None:
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img = cv2.cvtColor(canvas_result.image_data.astype("uint8"), cv2.COLOR_RGBA2GRAY)
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img_resized = cv2.resize(img, (28, 28))
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st.markdown(f"<div class='prediction-box'>Prediction: {predicted_digit}</div>", unsafe_allow_html=True)
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st.markdown(f"<div class='emoji'>{['0️⃣','1️⃣','2️⃣','3️⃣','4️⃣','5️⃣','6️⃣','7️⃣','8️⃣','9️⃣'][predicted_digit]}</div>", unsafe_allow_html=True)
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