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af0d029 | 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 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | import torch
import tiktoken
import os
from model import GPTConfig, GPT
out_dir = 'out'
device = 'cuda' if torch.cuda.is_available() else 'cpu'
ckpt_path = os.path.join(out_dir, 'ckpt.pt')
checkpoint = torch.load(ckpt_path, map_location=device)
gptconf = GPTConfig(**checkpoint['model_args'])
model = GPT(gptconf)
state_dict = checkpoint['model']
unwanted_prefix = '_orig_mod.'
for k,v in list(state_dict.items()):
if k.startswith(unwanted_prefix):
state_dict[k[len(unwanted_prefix):]] = state_dict.pop(k)
model.load_state_dict(state_dict)
model.to(device)
model.eval()
enc = tiktoken.get_encoding("gpt2")
EOS_TOKEN_ID = 50256
def ask_gpt(prompt, max_new_tokens=150, temperature=0.7, top_k=25):
start_ids = enc.encode(prompt)
x = torch.tensor(start_ids, dtype=torch.long, device=device)[None, ...]
with torch.no_grad():
y = model.generate(x, max_new_tokens, temperature=temperature, top_k=top_k)
full_ids = y[0].tolist()
new_ids = full_ids[len(start_ids):]
response = enc.decode(new_ids)
response = response.split('<|endoftext|>')[0]
return response
print("--- Crest Completion Chat started ---")
while True:
user_input = input("\nYour Prompt: ")
if user_input.lower() in ['exit', 'quit']: break
antwort_rest = ask_gpt(user_input)
print(f"\nCrest Completion: {user_input}{antwort_rest}")
print("-" * 30) |