removed redundant codes

app.py

@@ -57,15 +57,6 @@ def load_and_convert_to_hf_dataset(x, y, split="train"):
     hf_dataset.set_format("torch")  # Set format to PyTorch
     return hf_dataset
 
-# Load and convert dataframes to Hugging Face datasets
-train_df = pd.read_csv("data/asl_data/sign_mnist_train.csv")
-y_train = train_df.pop('label').values
-x_train = train_df.values
-
-valid_df = pd.read_csv("data/asl_data/sign_mnist_valid.csv")
-y_valid = valid_df.pop('label').values
-x_valid = valid_df.values
-
 def upload_dataset_to_hub(dataset, repo_id):
     api = HfApi(token=HF_TOKEN)
     api.create_repo(repo_id, repo_type="dataset", exist_ok=True)  # Create repo if it doesn't exist
@@ -160,14 +151,17 @@ if __name__ == "__main__":
         st.write (about)
 
     try:
+
+        # Load and convert dataframes to Hugging Face datasets
         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
+        
+        train_dataset = load_and_convert_to_hf_dataset(x_train, y_train, "train")
         valid_dataset = load_and_convert_to_hf_dataset(x_valid, y_valid, "validation")
 
         # Create a DatasetDict