test

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+import tensorflow as tf
+import numpy as np
+
+model = tf.keras.models.load_model("D:\\repos\\tf.arabic\mymodel\mymodel")
+
+def predict(img):
+    z = tf.keras.preprocessing.image.img_to_array(img)
+    z = np.expand_dims(z, axis=0)
+    print(z.shape, z)
+    y = model.predict(z)
+    ysoft = tf.nn.softmax(y)
+    ymax = np.argmax(ysoft)
+    return ymax
+
+sp = gr.Sketchpad(shape=(140,100), image_mode="L", label='arabic numeral').style(height=400, width=400)
+gr.Label()
+gr.Interface(fn=predict, 
+             inputs=sp,
+             outputs="label",
+             share=True,
+             live=True,
+             examples=[
+             ["writer001_pass01_digit2.png"],
+             ["writer001_pass01_digit4.png"],
+             ["writer001_pass07_digit9.png"],
+             ["writer594_pass06_digit7.png"]]).launch()