Upload 3 files

app.py

@@ -0,0 +1,22 @@
+import tensorflow as tf
+from matplotlib import pyplot as plt
+import numpy as np
+import gradio as gr
+
+# Load the model
+model = tf.keras.models.load_model('handwritten_digits.model')
+
+def recognize_digit(image):
+  if image is not None:
+    image = image.reshape((1,28,28,1)).astype('float32')/255
+    prediction = model.predict(image)
+    return {str(i) : float(prediction[0][i]) for i in range(10)}
+  else:
+    return ''
+
+iface = gr.Interface(
+    fn = recognize_digit,
+    inputs=gr.Image(shape=(28,28),image_mode = 'L',invert_colors=True, source = 'canvas'),
+    outputs=gr.Label(top_num_classes=3))
+
+iface.launch(server_port=8888)

handwritten_digits.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b2da4238c9f066443aab7b3989cacf27a722a9ebf614ae4ab5183a8be69d029
+size 1447256

requirements.txt

@@ -0,0 +1,4 @@
+gradio==3.50.2
+numpy
+keras
+tensorflow