Added app.py file for Gradio App

app.py

@@ -0,0 +1,20 @@
+from keras.models import load_model
+import cv2
+
+loaded_model = load_model('model.h5')
+
+def predict(img):
+  img = img['composite'][:,:,3]/255.0
+  img = cv2.resize(img, (28, 28))
+  prediction = np.argmax(loaded_model.predict(np.array([img]) ,verbose=0))
+  return prediction
+
+input = [gr.Sketchpad(label="Sketchpad",  canvas_size= (600,600) , image_mode = "RGBA")]
+interface = gr.Interface(
+    fn=predict,
+    inputs=input,
+    outputs="textbox",
+    title="MNIST Handwritten Digit Recognition by Johnson Manuel",
+    description="Draw digits from 0 to 9 to see real-time recognition by a neural network trained on the MNIST dataset." ,live=True
+)
+interface.launch()

requirements.txt

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+gradio==4.32.2
+keras==2.9.0
+opencv-python==4.9.0.80
+numpy==1.26.4