<｜begin▁of▁sentence｜>### Instruction:
As a psychiatrist specializing in treating mental illnesses and emotional disorders, I often encounter situations where patients need ongoing support and guidance to navigate their challenges. Imagine a scenario where a patient is struggling with depression and anxiety, and we're working together to improve their mental well-being.

In our sessions, we frequently discuss strategies to manage their symptoms and monitor their progress over time. To facilitate this, I utilize a tool called the Console Progress Tracker, which allows us to visualize the patient's journey in real-time during our conversations.

Using the ClassicPythonShell from the igraph's app.shell module, I integrate a console progress bar into our interactive sessions. This progress bar serves as a visual representation of the patient's progress, updating dynamically as we explore different therapeutic interventions and coping mechanisms.

By incorporating the Console Progress Tracker into our sessions, we can provide immediate feedback to the patient, empowering them to see their progress and stay motivated on their path to recovery. Additionally, it allows us to tailor our approach based on real-time feedback, ensuring that we're always aligned with the patient's needs and goals.

Through this integrated approach, we foster collaboration and transparency, ultimately promoting mental health, resilience, and recovery for our patients.
### Response:
from igraph.app.shell import ClassicPythonShell

# Initialize a Classic Python Shell with a console progress bar
shell = ClassicPythonShell()
shell.init_console_progress_bar()

# Simulate a task that takes a certain amount of time
for i in range(5):
    shell.progress_bar.update(20 * (i + 1))
    time.sleep(1)

# Clean up the progress bar after the task is done
shell.progress_bar.finish()
<|EOT|>
