TEST.py

from neuralgpt import NeuralGPT
from DualCoreLLM import DualCoreLLM # if needed
import re

# Load pretrained model
model = NeuralGPT.load_model('model.bin') # provide path to model file

# Define list of prompts
prompts = ['identify yourself', 'How can I improve my life?']

# Define function for preprocessing user input
def preprocess_input(text):
    text = text.lower()
    text = re.sub(r'[^\w\s]', '', text) # remove special characters
    return text

# Define function for generating responses
def generate_response(prompt):
    response = model.generate(prompt)
    # Evaluate coherence of response
    # ...
    return response

# Define function for testing coherence of responses
def test_coherence(prompt):
    input_text = input(prompt + ': ')
    preprocessed_text = preprocess_input(input_text)
    response = generate_response(preprocessed_text)
    # Evaluate coherence of response
    # ...
    return coherence_score

# Run test for each prompt
total_score = 0
for prompt in prompts:
    score = test_coherence(prompt)
    total_score += score

# Output final score
print('Coherence score:', total_score)