Update app.py

app.py

@@ -39,22 +39,22 @@ def load_repo_dataset(file_path):
     return pd.read_csv(file_path)
 
 @st.cache_data
-def load_huggingface_dataset(dataset_name, progress_callback):
+def load_huggingface_dataset(dataset_name, _progress_callback):
     dataset = load_dataset(dataset_name, name="all", split="train", trust_remote_code=True, uniform_split=True)
     if hasattr(dataset, "to_pandas"):
-        progress_callback(50)  # Update progress bar
+        _progress_callback(50)  # Update progress bar
         df = dataset.to_pandas()
-        progress_callback(100)  # Final progress update
+        _progress_callback(100)  # Final progress update
         return df
-    progress_callback(100)
+    _progress_callback(100)
     return pd.DataFrame(dataset)
 
 @st.cache_data
-def load_uploaded_csv(uploaded_file, progress_callback):
+def load_uploaded_csv(uploaded_file, _progress_callback):
     time.sleep(1)  # Simulate processing delay
-    progress_callback(50)  # Update progress bar
+    _progress_callback(50)  # Update progress bar
     df = pd.read_csv(uploaded_file)
-    progress_callback(100)  # Final progress update
+    _progress_callback(100)  # Final progress update
     return df
 
 # Dataset selection logic