Update app.py

app.py

@@ -14,6 +14,7 @@ import chardet
 
 # Initialize the Dash app
 app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
+uploaded_files = {}
 
 # Get OpenAI API key from Hugging Face Spaces environment variable
 openai.api_key = os.environ.get('OPENAI_API_KEY')
@@ -141,7 +142,7 @@ def update_output(list_of_contents, list_of_names, existing_files):
     global uploaded_files
     if list_of_contents is not None:
         new_files = []
-        for i, (content, name) in enumerate(zip(list_of_contents, list_of_names)):
+        for content, name in zip(list_of_contents, list_of_names):
             file_content = parse_file_content(content, name)
             uploaded_files[name] = file_content
             new_files.append(dbc.ListGroupItem([
@@ -149,10 +150,9 @@ def update_output(list_of_contents, list_of_names, existing_files):
                            color="danger", size="sm", className="me-2"),
                 html.Span(name)
             ]))
-        if existing_files is None:
-            existing_files = []
-        return dbc.ListGroup(existing_files + new_files)
-    return dbc.ListGroup(existing_files) if existing_files else []
+        existing_files = existing_files or []
+        return existing_files + new_files
+    return existing_files or []
 
 # Update the remove file callback
 @app.callback(
@@ -168,9 +168,14 @@ def remove_file(n_clicks, existing_files):
         raise PreventUpdate
     
     triggered_id = ctx.triggered[0]['prop_id']
+    print(f"Triggered ID: {triggered_id}")
+    
     removed_file = triggered_id.split('"index":')[1].split('"')[1]
+    print(f"Attempting to remove file: {removed_file}")
     
     uploaded_files.pop(removed_file, None)
+    print(f"Remaining files: {uploaded_files}")
+    
     return [file for file in existing_files if file['props']['children'][1]['children'] != removed_file]
     
 def generate_matrix_with_gpt(matrix_type, file_contents):
@@ -222,6 +227,7 @@ Now, generate the {matrix_type}:
     prevent_initial_call=True
 )
 def generate_matrix(*args):
+    print(f"Current uploaded files: {uploaded_files}")
     global current_matrix, matrix_type
     ctx = dash.callback_context
     if not ctx.triggered: