Update app.py

app.py

@@ -44,8 +44,10 @@ if f is not None:
         if frame_count % interval == 0:
             frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)  # Convert to grayscale
             frame = cv2.resize(frame, (28, 28))  # Resize to (28, 28)
-            frame = np.reshape(frame, (1, 28, 28, 1))  # Reshape
-            pred = model.predict(frame)
+            frame = np.reshape(frame, (1, 28, 28, 1))
+            st.image(frame, 'input')# Reshape
+            pred = model.predict(frame) 
+            st.write(pred)
             pred = np.argmax(pred)
             pred = array[pred]
             if not out or out[-1] != pred: