Create use.py

use.py

@@ -0,0 +1,46 @@
+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)