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.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+my_model/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+import numpy as np
+from tensorflow import keras
+
+model = keras.models.load_model('my_model')
+
+def predict(img):
+  img = np.expand_dims(img, axis=0)
+  return np.argmax(model.predict(img)[0])
+
+demo = gr.Interface(fn=predict, inputs='sketchpad', outputs="text")
+
+demo.launch()

my_model/fingerprint.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b168efad4225cff84b53aa9c0b28289f81512c779a01841f8cff5b6288f71dfe
+size 58

my_model/keras_metadata.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:860cf6015cd5753d3a760077a0cf3e3277001ee7980c8f49671110d0229d569a
+size 12530

my_model/saved_model.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:49610749afad21f503cabc986ffcde29b5fbe28d0a2a6f92f65e8e38af1ab725
+size 128266

my_model/variables/variables.data-00000-of-00001

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7a9b8f8f1a17b0abcd033b390410ce01ac36fcce68d31520f44fbcab3f3dc9f
+size 2920102

requirements.txt

@@ -0,0 +1,5 @@
+keras
+numpy
+gradio
+huggingface_hub
+tensorflow