#### Remark: This model can only translate from English to Thai, not the other way around.

```
def get_translate_body_chatml(text: str):
    return {
        "prompt": f"<|im_start|> user\nI need the following text translated into Thai.\n{text} <|im_end|><|im_start|> assistant\n",
        "model": MODEL_NAME,
        # "frequency_penalty": 0.45,
        "repetition_penalty": 1.15, # this is very important, can fix all the repetitive issue with current model
        "max_tokens": 1024,
        "temperature": 0.3,
        "top_p": 0.4,
        "stop": ["<|im_end|>", "<|im_start|>"],
    }
```

Example 

1.Start vllm server
```
CUDA_VISIBLE_DEVICES=4  vllm serve scb10x/mistral-en-th-translate-v7.4-ep3 --port 9901
```
2.Inference :D
```
MODEL_NAME = "scb10x/mistral-en-th-translate-v7.4-ep3"
URL = "http://localhost:9901/v1/completions"  # VLLM Server

def send_translate_request(text: str):
    body = get_translate_body_chatml(text)
    response = requests.post(URL, json=body, headers={"Content-Type": "application/json"})
    response.raise_for_status()
    json_body = response.json()
    return json_body["choices"][0]["text"]

def get_translate_body_chatml(text: str):
    return {
        "prompt": f"<|im_start|> user\nI need the following text translated into Thai.\n{text} <|im_end|><|im_start|> assistant\n",
        "model": MODEL_NAME,
        "repetition_penalty": 1.15,
        "max_tokens": 2048,
        "temperature": 0.3,
        "top_p": 0.4,
        "stop": ["<|im_end|>", "<|im_start|>"],
    }

```