| 8 | |
| 9 | |
| 10 | class Spark3Evaluator(Evaluator): |
| 11 | |
| 12 | def __init__(self, pretrained_model_name_or_path, app_id, api_secret, api_key, max_tokens=8192, temperature=0, top_k=1): |
| 13 | super(Spark3Evaluator, self).__init__() |
| 14 | |
| 15 | os.environ['SPARK_APP_ID'] = app_id |
| 16 | os.environ['SPARK_API_SECRET'] = api_secret |
| 17 | os.environ['SPARK_API_KEY'] = api_key |
| 18 | os.environ['SPARK_API_MODEL'] = pretrained_model_name_or_path |
| 19 | os.environ['SPARK_CHAT_MAX_TOKENS'] = str(max_tokens) |
| 20 | os.environ['SPARK_CHAT_TEMPERATURE'] = str(temperature) |
| 21 | os.environ['SPARK_CHAT_TOP_K'] = str(top_k) |
| 22 | |
| 23 | def format_prompt(self, prompt): |
| 24 | return prompt |
| 25 | |
| 26 | @retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6)) |
| 27 | def generate_text(self, prompt): |
| 28 | prompt = self.format_prompt(prompt) |
| 29 | api = ChatAPI(**SparkConfig().model_dump()) |
| 30 | response = api.get_completion(prompt) |
| 31 | |
| 32 | return ''.join(response).strip() |
| 33 | |
| 34 | @retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6)) |
| 35 | def count_tokens(self, prompt): |
| 36 | return round((len(prompt) * 2) / 3) |