Update app.py

app.py

@@ -27,17 +27,17 @@ with st.form("list", clear_on_submit=True):
     uploaded_file = st.file_uploader("Upload image files", type="jpg", accept_multiple_files=True)
     submitted = st.form_submit_button("clear")
     st.image(uploaded_file, width=100)
-
+    
     if uploaded_file is not None:
         Generate_pred = st.button("Generate Prediction")
-            if Generate_pred:
-                for file in uploaded_file:
-                    img = Image.open(file)
-                    img_array = img_to_array(img)
-                    img_array = tf.expand_dims(img_array, axis = 0) # Create a batch
-                    processed_image = preprocess_input(img_array)
-                    
-                    predictions = model.predict(processed_image)
-                    score = predictions[0]
-                    st.markdown("Predicted class of the image {} is : {}".format(file, class_names[np.argmax(score)]))
+        if Generate_pred:
+            for file in uploaded_file:
+                img = Image.open(file)
+                img_array = img_to_array(img)
+                img_array = tf.expand_dims(img_array, axis = 0) # Create a batch
+                processed_image = preprocess_input(img_array)
+                
+                predictions = model.predict(processed_image)
+                score = predictions[0]
+                st.markdown("Predicted class of the image {} is : {}".format(file, class_names[np.argmax(score)]))