app.py

from transformers import GPT2Tokenizer, GPTNeoForCausalLM
import torch

# Load the tokenizer and model for GPT-Neo
tokenizer = GPT2Tokenizer.from_pretrained("EleutherAI/gpt-neo-2.7B")
model = GPTNeoForCausalLM.from_pretrained("EleutherAI/gpt-neo-2.7B")

# Input text description for UI
input_text = "Generate a login form with username, password, and a submit button."

# Tokenize the input and create an attention mask
input_ids = tokenizer.encode(input_text, return_tensors="pt")
attention_mask = torch.ones(input_ids.shape, dtype=torch.long)  # Set the attention mask

# Generate code
output = model.generate(input_ids, attention_mask=attention_mask, max_length=100)

# Decode and print the generated code
generated_code = tokenizer.decode(output[0], skip_special_tokens=True)
print(generated_code)