Update app.py

app.py

@@ -32,11 +32,14 @@ if task1=="Tumor Detection":
                 return"Tumor"
             else:
                return"No Tumor"
-     if img != None:
-         img_f="D:/SEM 3/DL/DL-ALGORITHMS/CNN/tumor_detection/tumordata/pred/"
-         img_p=img_f + img.name
-         pred=cnn_make_prediction(img_p,cnn_model)
-         st.write(pred)
+     if img is not None:
+        st.image(img, caption="Uploaded Image.", use_column_width=False, width=200)
+        st.write("")
+
+        if st.button("Detect Tumor"):
+            result =cnn_make_prediction(img, cnn_model)
+            st.subheader("Tumor Detection Result")
+            st.write(f"**{result}**")
          
 
 #choosing classification