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@ -3,16 +3,16 @@ from .sentiment import Sentiment
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from .tts import TTS
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from .asr import ASR
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from .audio_to_text import AudioToText
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from .emotion import Emotion
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#from .emotion import Emotion
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from .blackbox import Blackbox
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from .text_to_audio import TextToAudio
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from .tesou import Tesou
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from .fastchat import Fastchat
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from .g2e import G2E
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from .text_and_image import TextAndImage
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from .chroma_query import ChromaQuery
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from .chroma_upsert import ChromaUpsert
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from .chroma_chat import ChromaChat
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# from .chroma_query import ChromaQuery
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# from .chroma_upsert import ChromaUpsert
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# from .chroma_chat import ChromaChat
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from .melotts import MeloTTS
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from .vlms import VLMS
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from injector import inject, singleton
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@ -28,15 +28,15 @@ class BlackboxFactory:
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asr: ASR,
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tts: TTS,
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sentiment_engine: Sentiment,
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emotion: Emotion,
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#emotion: Emotion,
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tesou: Tesou,
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fastchat: Fastchat,
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audio_chat: AudioChat,
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g2e: G2E,
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text_and_image: TextAndImage,
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chroma_query: ChromaQuery,
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chroma_upsert: ChromaUpsert,
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chroma_chat: ChromaChat,
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#chroma_query: ChromaQuery,
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#chroma_upsert: ChromaUpsert,
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#chroma_chat: ChromaChat,
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melotts: MeloTTS,
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vlms: VLMS) -> None:
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self.models["audio_to_text"] = audio_to_text
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@ -45,14 +45,14 @@ class BlackboxFactory:
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self.models["tts"] = tts
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self.models["sentiment_engine"] = sentiment_engine
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self.models["tesou"] = tesou
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self.models["emotion"] = emotion
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#self.models["emotion"] = emotion
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self.models["fastchat"] = fastchat
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self.models["audio_chat"] = audio_chat
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self.models["g2e"] = g2e
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self.models["text_and_image"] = text_and_image
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self.models["chroma_query"] = chroma_query
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self.models["chroma_upsert"] = chroma_upsert
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self.models["chroma_chat"] = chroma_chat
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# self.models["chroma_query"] = chroma_query
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# self.models["chroma_upsert"] = chroma_upsert
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# self.models["chroma_chat"] = chroma_chat
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self.models["melotts"] = melotts
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self.models["vlms"] = vlms
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@ -57,4 +57,3 @@ class Emotion(Blackbox):
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text = [{'role': 'user', 'content': text}]
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sentiment = self.processing(text)
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return JSONResponse(content={"sentiment": sentiment}, status_code=status.HTTP_200_OK)
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@ -22,8 +22,8 @@ class G2E(Blackbox):
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def processing(self, model_name, prompt, template, context: list) -> str:
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if context == None:
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context = []
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url = 'http://120.196.116.194:48890/v1'
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#url = 'http://120.196.116.194:48892/v1'
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#url = 'http://120.196.116.194:48890/v1'
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url = 'http://120.196.116.194:48892/v1'
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background_prompt = '''KOMBUKIKI是一款茶饮料,目标受众 年龄:20-35岁 性别:女性 地点:一线城市、二线城市 职业:精英中产、都市白领 收入水平:中高收入,有一定消费能力 兴趣和爱好:注重健康,有运动习惯
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@ -65,7 +65,7 @@ class G2E(Blackbox):
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api_key='YOUR_API_KEY',
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base_url=url
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)
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model_name = client.models.list().data[0].id
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model_name = client.models.list().data[1].id
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print(model_name)
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response = client.chat.completions.create(
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model=model_name,
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