add kimi nlp

human/audio_inference_handler.py

@@ -11,7 +11,6 @@ import numpy as np
 import torch
 
 from eventbus import EventBus
-from human import HumanStatus
 from human_handler import AudioHandler
 from utils import load_model, mirror_index, get_device, SyncQueue
 
@@ -75,7 +74,7 @@ class AudioInferenceHandler(AudioHandler):
         count_time = 0
         logger.info('start inference')
         silence_length = 133
-        human_status = HumanStatus(length, silence_length)
+        # human_status = HumanStatus(length, silence_length)
 
         device = get_device()
         logger.info(f'use device:{device}')
@@ -110,13 +109,13 @@ class AudioInferenceHandler(AudioHandler):
                     for i in range(batch_size):
                         if not self._is_running:
                             break
-                        # self.on_next_handle((None, mirror_index(silence_length, index),
-                        self.on_next_handle((None, human_status.get_index(),
+                        self.on_next_handle((None, mirror_index(silence_length, index),
+                        # self.on_next_handle((None, human_status.get_index(),
                                              audio_frames[i * 2:i * 2 + 2]), 0)
                         index = index + 1
                 else:
                     logger.info(f'infer======= {current_text}')
-                    human_status.try_to_talk()
+                    # human_status.try_to_talk()
                     t = time.perf_counter()
                     img_batch = []
                     # for i in range(batch_size):

human/human_context.py

@@ -8,7 +8,7 @@ from .audio_inference_onnx_handler import AudioInferenceOnnxHandler
 from .audio_inference_handler import AudioInferenceHandler
 from .audio_mal_handler import AudioMalHandler
 from .human_render import HumanRender
-from nlp import PunctuationSplit, DouBao
+from nlp import PunctuationSplit, DouBao, Kimi
 from tts import TTSEdge, TTSAudioSplitHandle, TTSEdgeHttp
 from utils import load_avatar, get_device, object_stop, load_avatar_from_processed, load_avatar_from_256_processed
 
@@ -125,7 +125,8 @@ class HumanContext:
         self._tts_handle = TTSAudioSplitHandle(self,  self._mal_handler)
         self._tts = TTSEdgeHttp(self._tts_handle)
         split = PunctuationSplit()
-        self._nlp = DouBao(self, split,  self._tts)
+        # self._nlp = DouBao(self, split,  self._tts)
+        self._nlp = Kimi(self, split,  self._tts)
         self._asr = SherpaNcnnAsr()
         self._asr.attach(self._nlp)
 

nlp/__init__.py

@@ -2,4 +2,5 @@
 
 from .nlp_callback import NLPCallback
 from .nlp_doubao import DouBao
+from .nlp_kimi import Kimi
 from .nlp_split import PunctuationSplit

nlp/nlp_kimi.py

@@ -0,0 +1,117 @@
+#encoding = utf8
+import json
+import logging
+import time
+
+import requests
+
+from nlp.nlp_base import NLPBase
+
+logger = logging.getLogger(__name__)
+
+
+class KimiHttp:
+    def __init__(self, token):
+        self.__token = token
+        self._response = None
+        self._requesting = False
+
+    def __request(self, question):
+        url = "https://api.moonshot.cn/v1/chat/completions"
+        headers = {
+            "Authorization": "Bearer " + self.__token,
+            "Content-Type": "application/json"
+        }
+
+        data = {
+            "model": "moonshot-v1-8k",
+            "messages": question,
+            'stream': True,
+            "temperature": 0.3
+        }
+
+        response = requests.post(url, headers=headers, json=data, stream=True)
+        return response
+
+    def request(self, question, handle, callback):
+        t = time.time()
+        self._requesting = True
+        logger.info(f'-------dou_bao ask:{question}')
+        msg_list = [
+            {"role": "system", "content": "你是 Kimi，由 Moonshot AI 提供的人工智能助手，你更擅长中文和英文的对话。"
+                                          "你会为用户提供安全，有帮助，准确的回答。同时，你会拒绝一切涉及恐怖主义，种族歧视，"
+                                          "黄色暴力等问题的回答。Moonshot AI 为专有名词，不可翻译成其他语言。"},
+            {"role": "user", "content": question}
+        ]
+        self._response = self.__request(msg_list)
+        if not self._response.ok:
+            logger.error(f"请求失败，状态码：{self._response.status_code}")
+            return
+        sec = ''
+        for chunk in self._response.iter_lines():
+            content = chunk.decode("utf-8").strip()
+            if len(content) < 1:
+                continue
+            content = content[5:]
+            content = content.strip()
+            if content == '[DONE]':
+                break
+
+            try:
+                content = json.loads(content)
+            except Exception as e:
+                logger.error(f"json解析失败，错误信息：{e, content}")
+                continue
+            sec = sec + content["choices"][0]["delta"]["content"]
+            sec, message = handle.handle(sec)
+            if len(message) > 0:
+                logger.info(f'-------dou_bao nlp time:{time.time() - t:.4f}s')
+                callback(message)
+        if len(sec) > 0:
+            callback(sec)
+
+        self._requesting = False
+        logger.info(f'-------dou_bao nlp time:{time.time() - t:.4f}s')
+
+    def close(self):
+        if self._response is not None and self._requesting:
+            self._response.close()
+
+    def aclose(self):
+        if self._response is not None and self._requesting:
+            self._response.close()
+        logger.info('DouBaoHttp close')
+
+
+class Kimi(NLPBase):
+    def __init__(self, context, split, callback=None):
+        super().__init__(context, split, callback)
+        logger.info("DouBao init")
+        # Access Key ID
+        # AKLTYTdmOTBmNWFjODkxNDE2Zjk3MjU0NjRhM2JhM2IyN2Y
+        # AKLTNDZjNTdhNDlkZGE3NDZjMDlkMzk5YWQ3MDA4MTY1ZDc
+        # Secret Access Key
+        # WmpRelltRXhNbVkyWWpnNU5HRmpNamc0WTJZMFpUWmpOV1E1TTJFME1tTQ==
+        # TkRJMk1tTTFZamt4TkRVNE5HRTNZMkUyTnpFeU5qQmxNMkUwWXpaak1HRQ==
+        # endpoint_id
+        # ep-20241008152048-fsgzf
+        # api_key
+        # c9635f9e-0f9e-4ca1-ac90-8af25a541b74
+        # api_ky
+        # eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJhcmstY29uc29sZSIsImV4cCI6MTczMDk2NTMxOSwiaWF0IjoxNzI4MzczMzE5LCJ0IjoidXNlciIsImt2IjoxLCJhaWQiOiIyMTAyMjc3NDc1IiwidWlkIjoiMCIsImlzX291dGVyX3VzZXIiOnRydWUsInJlc291cmNlX3R5cGUiOiJlbmRwb2ludCIsInJlc291cmNlX2lkcyI6WyJlcC0yMDI0MTAwODE1MjA0OC1mc2d6ZiJdfQ.BHgFj-UKeu7IGG5VL2e6iPQEMNMkQrgmM46zYmTpoNG_ySgSFJLWYzbrIABZmqVDB4Rt58j8kvoORs-RHJUz81rXUlh3BYl9-ZwbggtAU7Z1pm54_qZ00jF0jQ6r-fUSXZo2PVCLxb_clNuEh06NyaV7ullZwUCyLKx3vhCsxPAuEvQvLc_qDBx-IYNT-UApVADaqMs-OyewoxahqQ7RvaHFF14R6ihmg9H0uvl00_JiGThJveszKvy_T-Qk6iPOy-EDI2pwJxdHMZ7By0bWK5EfZoK2hOvOSRD0BNTYnvrTfI0l2JgS0nwCVEPR4KSTXxU_oVVtuUSZp1UHvvkhvA
+        self.__token = 'sk-yCx0lZUmfGx0ECEQAp8jTnAisHwUIokoDXN7XNBuvMILxWnN'
+        self._dou_bao = KimiHttp(self.__token)
+
+    def _request(self, question):
+        self._dou_bao.request(question, self._split_handle, self._on_callback)
+
+    def _on_close(self):
+        if self._dou_bao is not None:
+            self._dou_bao.close()
+        logger.info('AsyncArk close')
+
+    def on_clear_cache(self, *args, **kwargs):
+        super().on_clear_cache(*args, **kwargs)
+        if self._dou_bao is not None:
+            self._dou_bao.aclose()
+        logger.info('DouBao clear_cache')

nlp/nlp_split.py

@@ -15,6 +15,7 @@ class PunctuationSplit(NLPSplit):
 
     def handle(self, message: str):
         message = message.replace('*', '')
+        message = message.replace('#', '')
         match = re.search(self._pattern, message)
         if match:
             pos = match.start() + 1