Update app.py

app.py

@@ -10,7 +10,7 @@ try:
 except:
     model=tf.keras.models.load_model("dental_xray_seg.h5")
     pass
-st.header("Segmentation of Teeth in Panoramic X-ray Image Using UNet")
+st.header("Teeth segmentation  X-ray Image Using Machine learning")
 
 examples=["107.png"]
 def load_image(image_file):
@@ -32,15 +32,9 @@ def convert_rgb(img):
         return img
     else:
         return img
-    
-    
 st.subheader("Upload Dental Panoramic X-ray Image Image")
 image_file = st.file_uploader("Upload Images", type=["png","jpg","jpeg"])
-
-
-col1 = st.columns(0)
-with col1:
-    ex=load_image(examples[0])
+    ex=load_image(examples)
     st.image(ex,width=200)
     if st.button('Example 1'):
         image_file=examples[0]