Update app.py

app.py

@@ -133,23 +133,27 @@ if st.button("Generate HeatMap & DataFrame"):
         worksheet = writer.sheets['Sheet1']
 
         # Set the column width and row height
-        worksheet.set_column('A:I', 20)  # Set width for columns A-I
-        worksheet.set_column('J:J', 30)  # Set width for column J (Image View)
-        worksheet.set_column('K:K', 15)  # Set width for column K (Image Num)
+        worksheet.set_column('A:G', 8)  # Set width for columns A-G
+        worksheet.set_column('H:H', 22)  # Set width for column H (Image Name)   
+        worksheet.set_column('I:I', 14)  # Set width for column I (Image Size)   
+        worksheet.set_column('J:J', 12)  # Set width for column J (Image View)   
+        worksheet.set_column('K:K', 12)  # Set width for column K (Image Num)
+
+        
         for row_num in range(len(df_emotions) + 1):  # +1 to include the header row
-            worksheet.set_row(row_num, 38)  # Set the row height to 38
+            worksheet.set_row(row_num, 48)  # Set the row height to 38
 
         # Iterate over the images and insert them into the 'Image View' column
         for idx, image in enumerate(selected_images):
             # Convert the image to a format that can be inserted into Excel
             image_stream = io.BytesIO()
-            image.save(image_stream, format='PNG')
+            image.save(image_stream, format='JPG')
             image_stream.seek(0)
             # Calculate the scaling factor to fit the image inside the cell
             cell_width = 64
             scale_factor = cell_width / image.width
             # Insert the image into the cell
-            worksheet.insert_image(f'J{idx + 2}', 'image.png', {
+            worksheet.insert_image(f'J{idx + 2}', 'image.jpg', {
                 'image_data': image_stream,
                 'x_scale': scale_factor,
                 'y_scale': scale_factor,