Update app.py

app.py

@@ -20,35 +20,10 @@ 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"
+    "knnExample/0.png",
+    "knnExample/5.png",
     "knnExample/7.png"
-    
 ]
 iface = gr.Interface(
     fn = predict_image,