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tuning example and config
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6 changed files with 14 additions and 16 deletions
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examples/example.faiss
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examples/example.faiss
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examples/example.json
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examples/example.json
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@ -0,0 +1,10 @@
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[
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{
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"source": "Which facial cleanser is good for oily skin?",
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"output": "ABC cleanser is preferred by many with oily skin."
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},
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{
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"source": "Is L'Oreal good to use?",
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"output": "L'Oreal is a popular brand with many positive reviews."
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}
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]
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examples/example.pkl
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examples/example.pkl
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@ -9,28 +9,15 @@ import asyncio
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from langchain.embeddings import OpenAIEmbeddings
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from metagpt.config import CONFIG
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from metagpt.const import DATA_PATH
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from metagpt.const import EXAMPLE_PATH
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from metagpt.document_store import FaissStore
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from metagpt.logs import logger
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from metagpt.roles import Sales
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""" example.json, e.g.
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[
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{
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"source": "Which facial cleanser is good for oily skin?",
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"output": "ABC cleanser is preferred by many with oily skin."
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},
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{
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"source": "Is L'Oreal good to use?",
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"output": "L'Oreal is a popular brand with many positive reviews."
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}
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]
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"""
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def get_store():
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embedding = OpenAIEmbeddings(openai_api_key=CONFIG.openai_api_key, openai_api_base=CONFIG.openai_base_url)
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return FaissStore(DATA_PATH / "example.json", embedding=embedding)
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return FaissStore(EXAMPLE_PATH / "example.json", embedding=embedding)
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async def search():
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@ -138,7 +138,7 @@ class Config(metaclass=Singleton):
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self.gemini_api_key = self._get("GEMINI_API_KEY")
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self.ollama_api_base = self._get("OLLAMA_API_BASE")
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self.ollama_api_model = self._get("OLLAMA_API_MODEL")
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_ = self.get_default_llm_provider_enum()
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# _ = self.get_default_llm_provider_enum()
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# self.openai_base_url = self._get("OPENAI_BASE_URL")
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self.openai_proxy = self._get("OPENAI_PROXY") or self.global_proxy
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@ -51,6 +51,7 @@ def get_metagpt_root():
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METAGPT_ROOT = get_metagpt_root() # Dependent on METAGPT_PROJECT_ROOT
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DEFAULT_WORKSPACE_ROOT = METAGPT_ROOT / "workspace"
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EXAMPLE_PATH = METAGPT_ROOT / "examples"
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DATA_PATH = METAGPT_ROOT / "data"
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RESEARCH_PATH = DATA_PATH / "research"
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TUTORIAL_PATH = DATA_PATH / "tutorial_docx"
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