Update app.py

app.py

@@ -1,6 +1,6 @@
 # import libraries
 import streamlit as st
-from streamlit_image_select import image_select
+# from streamlit_image_select import image_select
 import tensorflow as tf
 import numpy as np
 import cv2
@@ -12,15 +12,15 @@ st.title('Emotion Detector App')
 # display banner image
 st.image("banner_emotions.jpg")
 
-img = image_select(
-    label = "Select an image to run model",
-    images = ["test_images/angry1.jpg",
-              "test_images/angry2.jpg",
-              "test_images/happy1.jpg",
-              "test_images/happy2.jpg",
-              "test_images/sad1.jpg",
-              "test_images/sad2.jpg"]
-)
+# img = image_select(
+#     label = "Select an image to run model",
+#     images = ["test_images/angry1.jpg",
+#               "test_images/angry2.jpg",
+#               "test_images/happy1.jpg",
+#               "test_images/happy2.jpg",
+#               "test_images/sad1.jpg",
+#               "test_images/sad2.jpg"]
+# )
 
 uploaded_img = st.file_uploader("Upload an image file",
                                 type  = ["png", "jpg", "jpeg"])
@@ -74,6 +74,7 @@ if predict:
         st.write("Please upload a valid image")
      
 else:
-    image_array = np.array(Image.open(img))
-    result_img = model_pred(model, image_array)
-    st.image(result_img)
+    pass
+    # image_array = np.array(Image.open(img))
+    # result_img = model_pred(model, image_array)
+    # st.image(result_img)