Update app.py

app.py

@@ -8,21 +8,21 @@ import tempfile
 def clean_and_visualize(file, progress=gr.Progress()):
  # Load the data
  df = pd.read_csv(file.name)
-
+ 
  # Clean the data
  cleaned_df = None
  nonconforming_cells_before = None
  process_times = None
  removed_columns = None
  removed_rows = None
-
+ 
  for progress_value, status_text in clean_data(df):
  if isinstance(status_text, tuple):
  cleaned_df, nonconforming_cells_before, process_times, removed_columns, removed_rows = status_text
  progress(progress_value, desc="Cleaning completed")
  else:
  progress(progress_value, desc=status_text)
-
+ 
  # Generate full visualization report
  create_full_report(
  df,
@@ -32,47 +32,58 @@ def clean_and_visualize(file, progress=gr.Progress()):
  removed_columns,
  removed_rows
  )
-
+ 
  # Save cleaned DataFrame to a temporary CSV file
  with tempfile.NamedTemporaryFile(delete=False, suffix='.csv') as tmp_file:
  cleaned_df.to_csv(tmp_file.name, index=False)
  cleaned_csv_path = tmp_file.name
-
+ 
  # Collect all generated images
  image_files = [os.path.join(REPORT_DIR, f) for f in os.listdir(REPORT_DIR) if f.endswith('.png')]
-
+ 
  return cleaned_csv_path, image_files
 
 def launch_app():
  with gr.Blocks() as app:
  gr.Markdown("# Data Cleaning and Visualization App")
-
+ 
  with gr.Row():
  file_input = gr.File(label="Upload CSV File", file_count="single", file_types=[".csv"])
-
+ 
  with gr.Row():
  clean_button = gr.Button("Start Cleaning")
-
+ 
  with gr.Row():
  progress_bar = gr.Progress()
-
+ 
  with gr.Row():
  cleaned_file_output = gr.File(label="Cleaned CSV", visible=True)
-
+ 
  with gr.Row():
- output_gallery = gr.Gallery(label="Visualization Results", show_label=True, elem_id="gallery", columns=[1],
- rows=[1], object_fit="contain", height="auto")
-
+ output_gallery = gr.Gallery(
+ label="Visualization Results", 
+ show_label=True, 
+ elem_id="gallery", 
+ columns=[2],
+ rows=[2], 
+ object_fit="contain", 
+ height="auto",
+ visible=False # Initially set to invisible
+ )
+ 
  def process_and_show_results(file):
  cleaned_csv_path, image_files = clean_and_visualize(file, progress=progress_bar)
- return cleaned_csv_path, image_files
-
+ return (
+ cleaned_csv_path,
+ gr.Gallery(visible=True, value=image_files) # Make gallery visible and update its content
+ )
+ 
  clean_button.click(
  fn=process_and_show_results,
  inputs=file_input,
  outputs=[cleaned_file_output, output_gallery]
  )
-
+ 
  app.launch()
 
 if __name__ == "__main__":