app.py

from transformers import AutoTokenizer, T5ForConditionalGeneration

# Load your model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("t5-base")
model = T5ForConditionalGeneration.from_pretrained("t5-base")

# Modify the prompt to focus on blockchain security and secure devops
prompt = "I am a neural network trained on the task of generating advice for improving blockchain security in secure development environments. Here are my recommendations: "

# Increase max tokens for longer outputs
max_length = 1024

# Generate output with modified prompt
generated_output = model.generate(
    prompt,
    max_length=max_length,
    num_return_sequences=1,
    return_dict_in_generate=True,
    temperature=0.7
)

print(generated_output)