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chore: 去掉 bot 示例中的 pickle 依赖 (#9640)
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4
scripts/bot/.gitignore
vendored
4
scripts/bot/.gitignore
vendored
@ -1,7 +1,7 @@
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db
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__pycache__
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text.pickle
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embedding.pickle
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text.json
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embedding.json
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.env
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m3e-base
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flagged
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@ -2,7 +2,7 @@ import sys
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import os
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import glob
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import uuid
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import pickle
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import json
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from embedding import get_embedding
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from split_markdown import split_markdown
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from vector_store import get_client
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@ -21,11 +21,11 @@ text_blocks_by_id = {}
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embedding_cache = {}
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embedding_cache_file = os.path.join(
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os.path.dirname(__file__), 'embedding.pickle')
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os.path.dirname(__file__), 'embedding.json')
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if os.path.exists(embedding_cache_file):
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with open(embedding_cache_file, 'rb') as f:
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embedding_cache = pickle.load(f)
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embedding_cache = json.load(f)
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def get_embedding_with_cache(text):
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@ -65,8 +65,8 @@ for filename in glob.iglob(doc_dir + '**/*.md', recursive=True):
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)
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with open(os.path.join(os.path.dirname(__file__), 'text.pickle'), 'wb') as f:
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pickle.dump(text_blocks_by_id, f, pickle.HIGHEST_PROTOCOL)
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with open(os.path.join(os.path.dirname(__file__), 'text.json'), 'w') as f:
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json.dump(text_blocks_by_id, f)
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with open(embedding_cache_file, 'wb') as f:
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pickle.dump(embedding_cache, f, pickle.HIGHEST_PROTOCOL)
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with open(embedding_cache_file, 'w') as f:
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json.dump(embedding_cache, f)
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@ -3,7 +3,7 @@ from split_markdown import split_markdown
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from embedding import get_embedding
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import gradio as gr
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import os
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import pickle
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import json
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from llm.wenxin import Wenxin, ModelName
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from dotenv import load_dotenv
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load_dotenv()
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@ -15,8 +15,8 @@ collection = chroma_client.get_collection(name="amis")
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wenxin = Wenxin()
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text_blocks_by_id = {}
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with open(os.path.join(os.path.dirname(__file__), 'text.pickle'), 'rb') as f:
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text_blocks_by_id = pickle.load(f)
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with open(os.path.join(os.path.dirname(__file__), 'text.json'), 'rb') as f:
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text_blocks_by_id = json.load(f)
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def get_prompt(context, query):
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