Open Axlfc opened 4 months ago
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To resolve the issues described for the "Render Markdown to HTML" feature in the open_ai_assistant_window
managed by the src/controllers/tool_functions.py
file using Python's Tkinter, we need to implement several enhancements.
For automatic scrolling to the bottom of the text area as new content is appended, we can update the text widget's yview.
def update_scroll(text_widget):
text_widget.see('end')
You should call this function each time new content is added to the text widget.
To add a scroll indicator, you might want to create a small arrow or icon that is positioned relative to the text widget. This can be a Label or a Canvas widget that changes visibility based on the scroll position.
def toggle_scroll_indicator(text_widget, indicator_label):
if text_widget.yview()[1] 1.0:
indicator_label.grid() # Show the indicator
else:
indicator_label.grid_remove() # Hide the indicator
# Usage example within a function that updates text widget content
toggle_scroll_indicator(text_widget, scroll_indicator_label)
The flickering issue may be due to frequent updates to the text widget. Implement a mechanism to batch updates or delay them slightly using after()
method in Tkinter.
def delayed_update(text_widget, content):
def update_content():
text_widget.insert('end', content)
update_scroll(text_widget)
text_widget.after(100, update_content) # Update content after a short delay
To align the text area's behavior with user expectations and to provide a seamless interaction like the OpenAI interface, ensure that the widget updates are not only smooth but also visually appealing. This includes managing how the content is displayed and ensuring that the text area is responsive during content generation.
By implementing these solutions, the functionality of the "Render Markdown to HTML" checkbox should see considerable improvements, addressing issues related to smooth scrolling, scroll indicators, flickering, and overall user experience effectively.
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