sync to remote

app.py

@@ -159,25 +159,29 @@ if __name__ == "__main__":
     with st.expander("About", expanded=True):
         st.write (about)
 
-    train_df = pd.read_csv("data/asl_data/sign_mnist_train.csv")
-    y_train = train_df.pop('label').values
-    x_train = train_df.values
-    train_dataset = load_and_convert_to_hf_dataset(x_train, y_train, "train")
+    try:
+        train_df = pd.read_csv("data/asl_data/sign_mnist_train.csv")
+        y_train = train_df.pop('label').values
+        x_train = train_df.values
+        train_dataset = load_and_convert_to_hf_dataset(x_train, y_train, "train")
 
-    valid_df = pd.read_csv("data/asl_data/sign_mnist_valid.csv")
-    y_valid = valid_df.pop('label').values
-    x_valid = valid_df.values
-    valid_dataset = load_and_convert_to_hf_dataset(x_valid, y_valid, "validation")
+        valid_df = pd.read_csv("data/asl_data/sign_mnist_valid.csv")
+        y_valid = valid_df.pop('label').values
+        x_valid = valid_df.values
+        valid_dataset = load_and_convert_to_hf_dataset(x_valid, y_valid, "validation")
 
-    # Create a DatasetDict
-    full_dataset = DatasetDict({
-        "train": train_dataset,
-        "validation": valid_dataset
-    })
+        # Create a DatasetDict
+        full_dataset = DatasetDict({
+            "train": train_dataset,
+            "validation": valid_dataset
+        })
 
-    upload_dataset_to_hub(full_dataset, REPO_ID)  # Upload the DatasetDict
+        upload_dataset_to_hub(full_dataset, REPO_ID)  # Upload the DatasetDict
+        st.write("Data upload complete.")
+
+    except Exception as e:
+        st.error(f"An error occurred: {e}")
 
-    st.write("Data upload complete.")
 
 if __name__ == "__main__":
     main()