Update app.py

app.py

@@ -27,37 +27,6 @@ streamlit run cell_exp_past.py
 7. Save the processed image locally or rename the processed image and
 associated files.
 '''
-
-'''
-an image processing tool that allows users to upload microscope images,
-adjust the view with zoom and enhancement controls, and save the processed
-image along with annotations. The tool uses OpenCV for image processing and
-PIL for image enhancements. The processed image can be saved locally or
-exported as a zip file containing the processed image, description, and
-parameters. The tool also provides options to rename the processed image and
-associated files.
-
-The tool consists of the following components:
-1. File Uploader: Allows users to upload microscope images in JPG or PNG format.
-2. Image Controls: Provides sliders to adjust the zoom, contrast, brightness, and sharpness of the image.
-3. Processed Image Display: Displays the processed image after applying the adjustments.
-4. Original Image Display: Displays the original image uploaded by the user.
-5. Save and Export Options: Allows users to add annotations, prepare a zip file for download, save the processed image locally, and rename the processed image and associated files.
-
-To run the tool:
-1. Save the script as `cell_exp_past.py`.
-2. Run the script in a Python environment.
-```python
-streamlit run cell_exp_past.py
-```
-3. Open the provided local URL in a web browser.
-4. Upload microscope images and adjust the image view.
-5. Apply adjustments and save the processed image with annotations.
-6. Download the processed image and annotations as a zip file.
-7. Save the processed image locally or rename the processed image and
-associated files.
-'''
-
 import streamlit as st
 from PIL import Image, ImageEnhance
 import pandas as pd