DOMMETI commited on
Commit
753fbae
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1 Parent(s): 47846dc

Update Home.py

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Files changed (1) hide show
  1. Home.py +18 -23
Home.py CHANGED
@@ -7,7 +7,7 @@ import cv2
7
  # --- Page Configuration ---
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  st.set_page_config(page_title="Digit Recognizer", layout="centered")
9
 
10
- # --- Custom CSS for Styling ---
11
  st.markdown("""
12
  <style>
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  @import url('https://fonts.googleapis.com/css2?family=Orbitron:wght@500&family=Outfit:wght@300;400;600&display=swap');
@@ -35,21 +35,6 @@ p {
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  margin-bottom: 35px;
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  }
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- .center-wrapper {
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- display: flex;
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- justify-content: center;
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- align-items: center;
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- padding: 30px 0;
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- }
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-
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- .canvas-container {
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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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-
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  .prediction-box {
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  font-size: 2.2em;
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  font-weight: 600;
@@ -70,11 +55,11 @@ p {
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  </style>
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  """, unsafe_allow_html=True)
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- # --- App 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 from 0–9 below. The AI will predict what you wrote.</p>", unsafe_allow_html=True)
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- # --- Sidebar Drawing Settings ---
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  st.sidebar.title("✏️ Drawing Settings")
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  drawing_mode = st.sidebar.selectbox("Drawing Tool", ("freedraw", "line", "rect", "circle", "transform"))
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  stroke_width = st.sidebar.slider("Stroke Width", 1, 25, 10)
@@ -82,15 +67,24 @@ 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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  realtime_update = st.sidebar.checkbox("Update Realtime", True)
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- # --- Load Digit Recognition Model ---
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  @st.cache_resource
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  def load_mnist_model():
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  return load_model("digit_recognization.keras")
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90
  model = load_mnist_model()
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- # --- Centered Canvas Pad ---
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- st.markdown('<div class="center-wrapper"><div class="canvas-container">', unsafe_allow_html=True)
 
 
 
 
 
 
 
 
 
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  canvas_result = st_canvas(
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  fill_color="rgba(255, 255, 255, 0.1)",
@@ -104,9 +98,9 @@ canvas_result = st_canvas(
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  key="canvas"
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  )
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- st.markdown('</div></div>', unsafe_allow_html=True)
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- # --- Prediction Logic & 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))
@@ -118,3 +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)
 
 
7
  # --- Page Configuration ---
8
  st.set_page_config(page_title="Digit Recognizer", layout="centered")
9
 
10
+ # --- Custom CSS Styling ---
11
  st.markdown("""
12
  <style>
13
  @import url('https://fonts.googleapis.com/css2?family=Orbitron:wght@500&family=Outfit:wght@300;400;600&display=swap');
 
35
  margin-bottom: 35px;
36
  }
37
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  .prediction-box {
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  font-size: 2.2em;
40
  font-weight: 600;
 
55
  </style>
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  """, unsafe_allow_html=True)
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+ # --- Title + Instructions ---
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  st.markdown("<h1>Digit Recognizer</h1>", unsafe_allow_html=True)
60
  st.markdown("<p>Draw a digit from 0–9 below. The AI will predict what you wrote.</p>", unsafe_allow_html=True)
61
 
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+ # --- Sidebar Controls ---
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  st.sidebar.title("✏️ Drawing Settings")
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  drawing_mode = st.sidebar.selectbox("Drawing Tool", ("freedraw", "line", "rect", "circle", "transform"))
65
  stroke_width = st.sidebar.slider("Stroke Width", 1, 25, 10)
 
67
  bg_color = st.sidebar.color_picker("Background Color", "#000000")
68
  realtime_update = st.sidebar.checkbox("Update Realtime", True)
69
 
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+ # --- Load Model ---
71
  @st.cache_resource
72
  def load_mnist_model():
73
  return load_model("digit_recognization.keras")
74
 
75
  model = load_mnist_model()
76
 
77
+ # --- Centered Canvas Drawing Pad ---
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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);
86
+ ">
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+ """, unsafe_allow_html=True)
88
 
89
  canvas_result = st_canvas(
90
  fill_color="rgba(255, 255, 255, 0.1)",
 
98
  key="canvas"
99
  )
100
 
101
+ st.markdown("</div></div>", unsafe_allow_html=True)
102
 
103
+ # --- Prediction Output ---
104
  if canvas_result.image_data is not None:
105
  img = cv2.cvtColor(canvas_result.image_data.astype("uint8"), cv2.COLOR_RGBA2GRAY)
106
  img_resized = cv2.resize(img, (28, 28))
 
112
 
113
  st.markdown(f"<div class='prediction-box'>Prediction: {predicted_digit}</div>", unsafe_allow_html=True)
114
  st.markdown(f"<div class='emoji'>{['0️⃣','1️⃣','2️⃣','3️⃣','4️⃣','5️⃣','6️⃣','7️⃣','8️⃣','9️⃣'][predicted_digit]}</div>", unsafe_allow_html=True)
115
+