Update app.py

app.py

@@ -1,12 +1,3 @@
-import cv2
-import gradio as gr
-import tensorflow as tf
-import numpy as np
-
-
-
-# Model yükleniyor
-model = tf.keras.models.load_model("number_recognition_model_colab.keras")
 
 def predict(img):
     # Preprocess the input image
@@ -18,15 +9,14 @@ def predict(img):
 
     return predicted_digit
 
-# Create the Gradio interface
 with gr.Blocks() as demo:
     gr.Markdown("Welcome on your first sketch recognition app!")
-    
+
     with gr.Row():
-        sketchpad = gr.Sketchpad(shape=(28, 28))
+        scratchpad = gr.Scratchpad(shape=(28, 28))
         output = gr.Text()
-    
+
     btn = gr.Button("Submit")
-    btn.click(predict, inputs=sketchpad, outputs=output)
+    btn.click(predict, inputs=scratchpad, outputs=output)
 
-demo.launch()
+demo.launch()