 Here is the Python code that uses the expyfun library to prepare and run the experiment as per your instructions:

```python
import os
import expyfun as p
import numpy as np

# Prepare the CRM corpus with two talkers of different genders
male_talker, female_talker = p.crm_prepare_corpus(gender=['male', 'female'])

# Preload all the talkers
p.CRMPreload(male_talker, female_talker)

# Set the experiment parameters
experiment_name = 'my_experiment'
sampling_rate = 40000
window_size = 2048
participant = 'participant1'
session = 'session1'
version = 'version1'

# Get sentences from the hard drive
sentence1 = p.sentence(os.path.join('sentences', 'sentence1.wav'), male_talker)
sentence2 = p.sentence(os.path.join('sentences', 'sentence2.wav'), female_talker)

# Pad and align the sentences at the start
padded_sentence1 = p._crm_prepare_corpus_helper(sentence1, window_size, 'center')
padded_sentence2 = p._crm_prepare_corpus_helper(sentence2, window_size, 'center')

# Create the ExperimentController object
controller = p.ExperimentController(experiment_name, sampling_rate, window_size)

# Display a text prompt on the screen
p.screen_prompt(controller, 'Welcome to the experiment!')

# Load the padded sentences into the buffer
controller.load_buffer(padded_sentence1, padded_sentence2)

# Start the stimulus and wait for a specific duration
p.start_stimulus(controller)
p.wait_for_click_on(controller, 5000)

# Create a response menu
response_menu = p.crm_response_menu(controller)

# Display a prompt based on the response
response = p.test_crm_response_menu(controller, response_menu)

# Plot a screenshot of the experiment
p.plot_screen(controller)

# Save the screenshot
p.run_subprocess(f'mv {p._get_display(controller)} screenshot.png')

# Clean up the display
p.clear_display(controller)
```

Please note that you need to have the sentences in the 'sentences' folder in the same directory as your script for this code to work. Also, you need to install the expyfun library if you haven't done so already. You can install it using pip:

```
pip install expyfun
```