Gracefully handle missing images

app.py

@@ -335,25 +335,29 @@ if app_mode =='About App':
              
             ''')
     
-    image = np.array(Image.open('categories_processed.png'))
-    # categories_processed = np.array(Image.open('categories_processed.png'))
-    st.image(image)
+    try:
+        image = np.array(Image.open('categories_processed.png'))
+        st.image(image)
+    except FileNotFoundError:
+        st.warning('Image categories_processed.png is missing.')
     st.markdown('''
     #### Below are the count of Videos per Label for each Dataframe
                 ''')
-    image = np.array(Image.open('eda/distribution_of_data.png'))
-    # categories_processed = np.array(Image.open('categories_processed.png'))
-
-
-    st.image(image)
+    try:
+        image = np.array(Image.open('eda/distribution_of_data.png'))
+        st.image(image)
+    except FileNotFoundError:
+        st.warning('Image eda/distribution_of_data.png is missing.')
 
     st.markdown('''
                 ### Date Pipeline
             ''')
     
-    image = np.array(Image.open('DataPipeline.png'))
-    # categories_processed = np.array(Image.open('categories_processed.png'))
-    st.image(image)
+    try:
+        image = np.array(Image.open('DataPipeline.png'))
+        st.image(image)
+    except FileNotFoundError:
+        st.warning('Image DataPipeline.png is missing.')
     st.markdown('''
         ### Model structure
             ```
@@ -385,9 +389,11 @@ if app_mode =='About App':
             Trainable params: 82,239 (321.25 KB)
             Non-trainable params: 440 (1.72 KB)
         ''')
-    image = np.array(Image.open('model-graph.png'))
-    # categories_processed = np.array(Image.open('categories_processed.png'))
-    st.image(image)
+    try:
+        image = np.array(Image.open('model-graph.png'))
+        st.image(image)
+    except FileNotFoundError:
+        st.warning('Image model-graph.png is missing.')
     st.markdown('''
             # Training
               [Tensorboard](https://huggingface.co/cdsteameight/ISL-SignLanguageTranslation/tensorboard)