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update:model_config
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@@ -11,7 +11,7 @@ import gradio as gr
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import datetime
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import requests
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from urllib.parse import urljoin
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from pilot.configs.model_config import DB_SETTINGS, KNOWLEDGE_UPLOAD_ROOT_PATH, MODEL_NAME_PATH, VS_ROOT_PATH
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from pilot.configs.model_config import DB_SETTINGS, KNOWLEDGE_UPLOAD_ROOT_PATH, LLM_MODEL_CONFIG
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from pilot.server.vectordb_qa import KnownLedgeBaseQA
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from pilot.connections.mysql import MySQLOperator
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from pilot.source_embedding.knowledge_embedding import KnowledgeEmbedding
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@@ -539,7 +539,7 @@ def knowledge_embedding_store(vs_id, files):
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filename = os.path.split(file.name)[-1]
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shutil.move(file.name, os.path.join(KNOWLEDGE_UPLOAD_ROOT_PATH, vs_id, filename))
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knowledge_embedding = KnowledgeEmbedding.knowledge_embedding(os.path.join(KNOWLEDGE_UPLOAD_ROOT_PATH, vs_id, filename), MODEL_NAME_PATH, {"vector_store_name": vs_id,
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knowledge_embedding = KnowledgeEmbedding.knowledge_embedding(os.path.join(KNOWLEDGE_UPLOAD_ROOT_PATH, vs_id, filename), LLM_MODEL_CONFIG["sentence-transforms"], {"vector_store_name": vs_id,
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"vector_store_path": KNOWLEDGE_UPLOAD_ROOT_PATH})
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knowledge_embedding.source_embedding()
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logger.info("knowledge embedding success")
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