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style: convert /home/gpu/ to /

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0Xiao0
2024-10-28 17:38:40 +08:00
parent f4b971d2fd
commit 8fe010bbbe
12 changed files with 49 additions and 49 deletions
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sample/chroma_client_en.py
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@ -70,7 +70,7 @@ def get_all_files(folder_path):
# 加载文档和拆分文档
loader = TextLoader("/home/gpu/Workspace/jarvis-models/sample/RAG_en.txt")
loader = TextLoader("/Workspace/jarvis-models/sample/RAG_en.txt")
documents = loader.load()
@ -84,8 +84,8 @@ ids = ["20240521_store"+str(i) for i in range(len(docs))]
# 加载embedding模型和chroma server
embedding_model = SentenceTransformerEmbeddings(model_name='/home/gpu/Workspace/Models/BAAI/bge-small-en-v1.5', model_kwargs={"device": "cuda"})
client = chromadb.HttpClient(host='10.6.81.119', port=7000)
embedding_model = SentenceTransformerEmbeddings(model_name='/Workspace/Models/BAAI/bge-small-en-v1.5', model_kwargs={"device": "cuda"})
client = chromadb.HttpClient(host='192.168.0.200', port=7000)
id = "g2e_english"
client.delete_collection(id)
@ -106,8 +106,8 @@ print("collection_number",collection_number)
# # chroma 召回
# from chromadb.utils import embedding_functions
# embedding_model = embedding_functions.SentenceTransformerEmbeddingFunction(model_name="/home/gpu/Workspace/Models/BAAI/bge-large-zh-v1.5", device = "cuda")
# client = chromadb.HttpClient(host='10.6.81.119', port=7000)
# embedding_model = embedding_functions.SentenceTransformerEmbeddingFunction(model_name="/Workspace/Models/BAAI/bge-large-zh-v1.5", device = "cuda")
# client = chromadb.HttpClient(host='192.168.0.200', port=7000)
# collection = client.get_collection("g2e", embedding_function=embedding_model)
# print(collection.count())
@ -152,7 +152,7 @@ print("collection_number",collection_number)
# 'Content-Type': 'application/json',
# 'Authorization': "Bearer " + key
# }
# url = "http://10.6.81.119:23333/v1/chat/completions"
# url = "http://192.168.0.200:23333/v1/chat/completions"
# fastchat_response = requests.post(url, json=chat_inputs, headers=header)
# # print(fastchat_response.json())