77 lines
1.7 KiB
Plaintext
77 lines
1.7 KiB
Plaintext
# API requirements
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torch~=2.1.2
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torchvision~=0.16.2
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torchaudio~=2.1.2
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xformers==0.0.23.post1
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transformers==4.36.2
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sentence_transformers==2.2.2
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langchain==0.0.354
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langchain-experimental==0.0.47
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pydantic==1.10.13
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fschat==0.2.34
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openai~=1.7.1
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fastapi~=0.108.0
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sse_starlette==1.8.2
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nltk>=3.8.1
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uvicorn>=0.24.0.post1
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starlette~=0.32.0
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unstructured[all-docs]==0.11.0
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python-magic-bin; sys_platform == 'win32'
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SQLAlchemy==2.0.19
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faiss-cpu~=1.7.4 # `conda install faiss-gpu -c conda-forge` if you want to accelerate with gpus
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accelerate~=0.24.1
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spacy~=3.7.2
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PyMuPDF~=1.23.8
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rapidocr_onnxruntime==1.3.8
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requests~=2.31.0
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pathlib~=1.0.1
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pytest~=7.4.3
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numexpr~=2.8.6 # max version for py38
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strsimpy~=0.2.1
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markdownify~=0.11.6
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tiktoken~=0.5.2
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tqdm>=4.66.1
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websockets>=12.0
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numpy~=1.24.4
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pandas~=2.0.3
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einops>=0.7.0
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transformers_stream_generator==0.0.4
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vllm==0.2.6; sys_platform == "linux"
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httpx[brotli,http2,socks]==0.25.2
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llama-index
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# optional document loaders
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# rapidocr_paddle[gpu]>=1.3.0.post5 # gpu accelleration for ocr of pdf and image files
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jq==1.6.0 # for .json and .jsonl files. suggest `conda install jq` on windows
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beautifulsoup4~=4.12.2 # for .mhtml files
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pysrt~=1.1.2
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# Online api libs dependencies
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zhipuai==1.0.7 # zhipu
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dashscope==1.13.6 # qwen
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# volcengine>=1.0.119 # fangzhou
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# uncomment libs if you want to use corresponding vector store
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# pymilvus>=2.3.4
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# psycopg2==2.9.9
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# pgvector>=0.2.4
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# Agent and Search Tools
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arxiv~=2.1.0
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youtube-search~=2.1.2
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duckduckgo-search~=3.9.9
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metaphor-python~=0.1.23
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# WebUI requirements
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streamlit~=1.29.0
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streamlit-option-menu>=0.3.6
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streamlit-chatbox==1.1.11
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streamlit-modal>=0.1.0
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streamlit-aggrid>=0.3.4.post3
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watchdog>=3.0.0 |