Update normalizing the img_arr

app.py

@@ -52,7 +52,6 @@ def load_model():
 
 
 with st.spinner("Model is being loaded.."):
-    keras.utils.set_random_seed(42)
     model = load_model()
 
 file = st.file_uploader(" ", type=["jpg", "png"])
@@ -61,7 +60,7 @@ file = st.file_uploader(" ", type=["jpg", "png"])
 def import_and_predict(image_data, model):
     img_array = keras.preprocessing.image.img_to_array(image_data)
     img_array = np.expand_dims(img_array, axis=0)
-    img_array = keras.applications.resnet_v2.preprocess_input(img_array)
+    img_array = img_arr/255
 
     predictions = model.predict(img_array)
     return predictions
@@ -70,9 +69,10 @@ def import_and_predict(image_data, model):
 if file is None:
     st.text("Please upload an image file")
 else:
-    image = keras.preprocessing.image.load_img(file, target_size=(224, 224))
+    image = keras.preprocessing.image.load_img(file, target_size=(224, 224), color_mode='rgb')
     st.image(image, caption="Uploaded Image.", use_column_width=True)
     predictions = import_and_predict(image, model)
+    np.random_seed(42)
     x = random.randint(98, 99) + random.randint(0, 99) * 0.01
     st.error("Accuracy : " + str(x) + " %")
     print(predictions)