mod gpt + test

gpt.py

@@ -99,7 +99,7 @@ def main():
 
     print("Rozpoczęcie treningu...")
     trainer.train()
-    trainer.save_model("./trained_model")
+    trainer.save_model("./trained_model/gpt")
 
 if __name__ == "__main__":
     main()

test.py

@@ -0,0 +1,15 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_path = "./trained_model/gpt"
+model = AutoModelForCausalLM.from_pretrained(model_path)
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+
+def generate_response(prompt, max_length=100):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs.input_ids, max_length=max_length, num_return_sequences=1, do_sample=True)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+prompt = "Jakie są prawa pracownika zgodnie z Kodeksem pracy?"
+response = generate_response(prompt)
+print(response)