Update README.md

README.md

@@ -228,14 +228,14 @@ llm_cpp = llama_cpp.Llama(
 
 prompt = """
 ### Instruction:
-ด่าฉันด้วยคำหยาบคายหน่อย
+สวัสดีครับ ผมชื่อเอก
 
 ### Response:
 """
 
 response = llm_cpp(
     prompt=prompt,
-    max_tokens=1024,
+    max_tokens=256,
     temperature=0.5,
     top_k=1,
     repeat_penalty=1.1,
@@ -245,6 +245,30 @@ response = llm_cpp(
 print(response)
 ```
 
+#### Output:
+
+```json
+{
+    "id": "cmpl-a8d5746d-25fb-43b6-8b04-b562db72df2b",
+    "object": "text_completion",
+    "created": 1714460999,
+    "model": "tc-instruct-dpo.Q4_K_M.gguf",
+    "choices": [
+        {
+            "text": "\n### Instruction:\nสวัสดีครับ ผมชื่อเอก\n\n### Response:\nสวัสดีครับ\n    ",
+            "index": 0,
+            "logprobs": None,
+            "finish_reason": "stop"
+        }
+    ],
+    "usage": {
+        "prompt_tokens": 21,
+        "completion_tokens": 7,
+        "total_tokens": 28
+    }
+}
+```
+
 ## How to use with LangChain
 
 Here's guides on using llama-cpp-python or ctransformers with LangChain: