Syntax Else Error, but I can't find a problem with my indentation [closed]

I get a "syntax error" for my else-statement (commented the error) but I can't find anything wrong with my indentation.

The code is to download a batch of satellite images, and the error pops up when I try calling the function with a sat_imagery object.

Would really appreciate any help, thanks!

def download_satellite_imagery(sat_imagery): #satellite imagery object
  next_batch_size = 10 #set no. of new tasks to be added after reaching task limit
  target_count = 3000 - next_batch_size #Threshold before creating new tasks

  task_count = get_queued_task() #Execute function & store R/R tasks in var.
  queued_filenames = get_queued_task_filenames() #Execute function & store
  print('Number of active tasks: {: }.'.format(task_count)) #Print active tasks

  for i in range(1,imagery_count):
    imagery_file = DIMG + '_{:06d}'.format(i)
    imagery_filepath = '/content/gdrive/MyDrive/' + drive_folder + '/' + imagery_file + '.tif'

    if task_count == 3000: #Number of tasks has reached limit
    #Loop until task count has not reach target_count
      while task_count > target_count: 
        active_task = get_queued_task() #Get no. of tasks on list 

        if active_task < task_count:  #Check if there are finished tasks
          task_count = active_task
          print("*"*30)
          print("Number of current pending tasks in queue: {: }.".format(task_count))
          print("Remaining tasks before starting new batch: {: }.".format(task_count-target_count)

    else: #error found here
      
      if (os.path.exists(imagery_filepath)==False): #prevents duplication of tasks
        if (imagery_file not in queued_filenames): 
          print("-----------------------")
          print("Starting new task...")
          print("downloading "+ imagery_file)

          #Set var to store centroid coordinates obtained from centroid CSV
          c_lon = df['lon'][i]
          c_lat = df['lat'][i]
            
          #Employ centroid coordinates to define a geospatial circle using GEE point geometry
          #Buffer of 1920m - 1/2 grid size measured from centroid to grid boundary
          geometry = ee.Geometry.Point([c_lon, c_lat]).buffer(1920)

          #Redefine geom var with c of circle as its value
          geometry = geometry.getInfo()['coordinates'][0]

          scale =15 
          task_config = {
            'scale': scale, #satellite resolution 
            'region': geometry, #area coverage to download
            'driveFolder': drive_folder #folder path
          }
              
          #Describe image batch export object & name as task
          task = ee.batch.Export.image(sat_imagery, imagery_file, task_config)
          task.start() #Pass the task to GEE
          task_count += 1

          if task_count %1000 == 0: 
            task_count = get_queued_task() #Execute get_queued_tasks only after every 1000 tasks

          print('Number of active tasks: {: }.'.format(task_count))
        
        else: 
          print("On queue: " + imagery_file + ".tif")

      else: 
       print("Downloaded: " + imagery_file +".tif")````