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d61b14b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | import torch
from transformers import GPT2Tokenizer, GPT2LMHeadModel
model_dir = "./nova1_model"
tokenizer = GPT2Tokenizer.from_pretrained(model_dir)
model = GPT2LMHeadModel.from_pretrained(model_dir)
model.eval()
def generate_text(prompt, max_length=100):
inputs = tokenizer(prompt, return_tensors="pt")
with torch.no_grad():
outputs = model.generate(
**inputs,
max_length=max_length,
do_sample=True,
top_p=0.95,
top_k=50,
temperature=0.8,
pad_token_id=tokenizer.eos_token_id,
)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
if __name__ == "__main__":
print("Chat NOVA ready. Type your prompt (type 'exit' to quit):")
while True:
prompt = input(">> ")
if prompt.lower() == "exit":
break
response = generate_text(prompt)
print(response)
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