Update app.py

app.py

@@ -20,6 +20,30 @@ def predict_image(image):
   prediction = classifier.predict(image)
   return prediction[0]
     
+with gr.Blocks() as demo:
+    txt = gr.Textbox(label = "Input", lines =2)
+    txt_2 = gr.Textbox(label = "Input 2")
+    txt_3 = gr.Textbox(value = "", label = "Output")
+    btn = gr.Button(value = "submit")
+    btn.click(combine, inputs = [txt, txt_2]), outputs = [txt_3]
+
+    with gr.Row():
+        im = gr.Image()
+        im_2 = gr.Image()
+
+    btn = gr.Button(value = "Mirror image")
+    btn.click(mirror, inputs = [im], outputs = [im_2])
+
+    gr.Markdown("## Image Examples")
+    gr.Examples(
+        examples=[os.path.join(os.path.dirname(__file__), "0.png")],
+        inputs=im,
+        outputs=im_2,
+        fn=mirror,
+        cache_examples=True,
+    )
+
+
 imagenes_muestra =[
     "knnExample/0.png"
     "knnExample/5.png"