added initial files

CNN_extended_dataset.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fe735ef417f2787dc34933069aa19843b4ed6d6c930da3441ea95a32d20af8b4
+size 2972272

app.py

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+from flask import Flask, request
+import numpy as np
+import tensorflow as tf
+import cv2
+
+app = Flask(__name__)
+
+loaded_CNN = tf.keras.models.load_model('CNN_extended_dataset.h5') 
+
+@app.route('/get-prediction', methods = ['POST'])
+def get_prediction():
+    img_array = request.json.get('data')
+    img_array = np.array(img_array, dtype=np.uint8).reshape(400, 400)
+    img_array = cv2.resize(img_array, (28, 28))
+    img_array = img_array.reshape(1, 28, 28)
+
+    pred = loaded_CNN.predict([img_array])
+    final_pred = np.argmax(pred)
+    return str(final_pred)
+
+if __name__ == '__main__':
+    app.run()

requirements.txt

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+Flask
+Jinja2==3.1.2
+numpy
+opencv-python
+tensorflow