Update app.py

app.py

@@ -49,7 +49,7 @@ file = st.file_uploader("Upload an image", type=["png", "jpg", "jpeg"])
 print(file)
 
 true_file=pd.read_csv("HAM10000_metadata.csv")
-true_label= true_file["image_id"]
+
 
 # true_file.apply(lambda x: x["image_id"] ==file)
 
@@ -111,10 +111,13 @@ if file is not None:
         st.header("Input Image")
         st.image(opencv_image, channels="BGR")
     with col2:
-        st.header("Prediction")
-        st.write(class_name[0])
+        st.header("Results")
+        st.write("True Label",true_file[true_file["image_id"]==file]["dx"][0]])
+        st.write("Prediction",class_name[0])
         st.metric("Category:", class_name[1])
 
+        
+