Update app.py

app.py

@@ -28,6 +28,36 @@ streamlit run cell_exp_past.py
 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
@@ -53,7 +83,7 @@ if uploaded_files:
     img_index = st.selectbox("Select Image", range(len(uploaded_files)))
     x = st.slider("X Coordinate", 0, 500, 205)
     y = st.slider("Y Coordinate", 0, 500, 250)
-    zoom = st.slider("Zoom", 1, 10, 5)
+    zoom = st.slider("Zoom", 1, 10, 0.5)
     contrast = st.slider("Contrast", 0.0, 5.0, 1.0)
     brightness = st.slider("Brightness", 0.0, 5.0, 1.0)
     sharpness = st.slider("Sharpness", 0.0, 2.0, 1.0)
@@ -70,7 +100,7 @@ if uploaded_files:
         img_sharp.save("image-processed.jpg")
         st.success("Image saved as image-processed.jpg")
 
-    st.image(img_sharp, caption="Processed Image", use_column_width=True)
+    st.image(img_sharp, caption="Processed Image", use_container_width=True)
 
     description = st.text_area("Describe the image", "")
     if st.button("Save Description"):
@@ -95,7 +125,10 @@ if uploaded_files:
 
     if st.button("Rename Files"):
         file_ext = str(np.random.randint(100))
-        os.rename("image-processed.jpg", f"img_processed{file_ext}.jpg")
+        try:
+            os.rename("image-processed.jpg", f"img_processed{file_ext}.jpg")
+        except FileNotFoundError:
+            st.error("image-processed.jpg not found.")
         os.rename("saved_image_parameters.json", f"saved_image_parameters{file_ext}.json")
         os.rename("saved_image_description.txt", f"saved_image_description{file_ext}.txt")
         st.success("Files renamed successfully")
@@ -109,3 +142,4 @@ if uploaded_files:
                     z.write(params_file, os.path.basename(params_file))
         with open(zipf.name, 'rb') as f:
             st.download_button("Download ZIP", f, "annotations.zip")
+