Upload app.py

app.py

@@ -136,8 +136,10 @@ if image_file is not None:
 
     image=cv2.imread(image_file)
       
-    st.text("Making A Prediction ....")
+    st.subheader("Original Image")  
     st.image(image,width=1100)
+
+    st.text("Making A Prediction ....")
       
     img=np.asarray(image)
 
@@ -159,7 +161,7 @@ if image_file is not None:
     img = cv2.drawContours(img, cnts, -1, (255, 0, 0), 2)
     
     if img is not None :      
-        st.subheader("Predicted Image")  
+        st.subheader("Predicted teeth shape")  
         st.write(img.shape)
         st.image(img,width=1100)
 
@@ -168,12 +170,13 @@ if image_file is not None:
     predicted=cv2.imread("predict.png")
     predicted = cv2.resize(predicted, (image.shape[1],image.shape[0]), interpolation=cv2.INTER_LANCZOS4)
     cca_result,teeth_count=CCA_Analysis(image,predicted,3,2)
+
     if cca_result is not None :      
-        st.subheader("Predicted Image")  
+        st.subheader("Seperate predicted teeth")  
         st.write(cca_result.shape)
         st.image(cca_result,width=1100)
 
-    st.text(teeth_count,"Teeth Count")
+    st.text("Teeth Count = " + str(teeth_count))
 
     st.text("DONE ! ....")