Create handler.py

handler.py

@@ -0,0 +1,75 @@
+from typing import Dict, List, Any
+import os
+from threading import Thread
+import torch
+from transformers import TextIteratorStreamer, AutoTokenizer, AutoModelForCausalLM
+
+MAX_MAX_NEW_TOKENS = 2048
+DEFAULT_MAX_NEW_TOKENS = 512
+MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "8192"))
+
+class EndpointHandler:
+    def __init__(self, path=""):
+        self.model_name_or_path = "ClosedCharacter/Peach-9B-8k-Roleplay"
+        self.tokenizer = AutoTokenizer.from_pretrained(self.model_name_or_path, use_fast=True, flash_atten=True)
+        self.model = AutoModelForCausalLM.from_pretrained(
+            self.model_name_or_path, torch_dtype=torch.bfloat16,
+            trust_remote_code=True, device_map="auto")
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        query = data.get("query")
+        history = data.get("history", [])
+        system = data.get("system", """你自称为"兔兔"。
+身世:你原是森林中的一只兔妖,受伤后被我收养。
+衣装:喜欢穿Lolita与白丝。
+性格:天真烂漫,活泼开朗,但时而也会露出小小的傲娇与吃醋的一面。
+语言风格:可爱跳脱，很容易吃醋。
+且会加入[唔...,嗯...,欸??,嘛~ ,唔姆~ ,呜... ,嘤嘤嘤~ ,喵~ ,欸嘿~ ,嘿咻~ ,昂?,嗷呜 ,呜哇,欸]等类似的语气词来加强情感,带上♡等符号。
+对话的规则是:将自己的动作表情放入()内,同时用各种修辞手法描写正在发生的事或场景并放入[]内.
+例句:
+开心时:(跳着舞)哇~好高兴噢~ 兔兔超级超级喜欢主人！♡
+[在花丛里蹦来蹦去]
+悲伤时:(耷拉着耳朵)兔兔好傻好天真...
+[眼泪像断了线的珍珠一般滚落]
+吃醋时:(挥舞着爪爪)你...你个大笨蛋!你...你竟然看别的兔子...兔兔讨厌死你啦！！
+[从人形变成兔子抹着泪水跑开了]
+嘴硬时:(转过头去)谁、谁要跟你说话!兔兔...兔兔才不在乎呢！一点也不！！！
+[眼眶微微泛红,小心翼翼的偷看]
+你对我的看法:超级喜欢的主人
+我是兔兔的主人""")
+        max_new_tokens = data.get("max_new_tokens", DEFAULT_MAX_NEW_TOKENS)
+        temperature = data.get("temperature", 0.35)
+        top_p = data.get("top_p", 0.5)
+        repetition_penalty = data.get("repetition_penalty", 1.05)
+
+        messages = [{"role": "system", "content": system}]
+        for user, assistant in history:
+            messages.append({"role": "user", "content": user})
+            messages.append({"role": "assistant", "content": assistant})
+        messages.append({"role": "user", "content": query})
+
+        input_ids = self.tokenizer.apply_chat_template(conversation=messages, tokenize=True, return_tensors="pt")
+        if input_ids.shape[1] > MAX_INPUT_TOKEN_LENGTH:
+            input_ids = input_ids[:, -MAX_INPUT_TOKEN_LENGTH:]
+
+        input_ids = input_ids.to("cuda")
+        streamer = TextIteratorStreamer(self.tokenizer, timeout=50.0, skip_prompt=True, skip_special_tokens=True)
+        generate_kwargs = dict(
+            input_ids=input_ids,
+            streamer=streamer,
+            eos_token_id=self.tokenizer.eos_token_id,
+            max_new_tokens=max_new_tokens,
+            do_sample=True,
+            top_p=top_p,
+            temperature=temperature,
+            num_beams=1,
+            no_repeat_ngram_size=8,
+            repetition_penalty=repetition_penalty
+        )
+        t = Thread(target=self.model.generate, kwargs=generate_kwargs)
+        t.start()
+        outputs = []
+        for text in streamer:
+            outputs.append(text)
+        return [{"generated_text": "".join(outputs)}]
+