Update app.py

app.py

@@ -1,31 +1,11 @@
-import cv2
 import gradio as gr
-import tensorflow as tf
-import numpy as np
 
 
-model = tf.keras.models.load_model("number_recognition_model_colab.keras")
+def greet(name):
+    return "Hello " + name + "!"
 
 
+demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox")
 
-def predict(img):
-    # Preprocess the input image
-    img = img.reshape(1, 28, 28) / 255.0
-
-    # Make the prediction
-    prediction = model.predict(img)
-    predicted_digit = np.argmax(prediction[0])
-
-    return predicted_digit
-
-with gr.Blocks() as demo:
-    gr.Markdown("Welcome on your first sketch recognition app!")
-
-    with gr.Row():
-        scratchpad = gr.Scratchpad(shape=(28, 28))
-        output = gr.Text()
-
-    btn = gr.Button("Submit")
-    btn.click(predict, inputs=scratchpad, outputs=output)
-
-demo.launch()
+if __name__ == "__main__":
+    demo.launch()