mirror of
https://github.com/NicolasBohn/NexQuant.git
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WinstonLiyt
226a0470ac
- Performed further optimizations on the factor loop and report extraction loop. - Added log handling for both processes. - Implemented a screenshot feature for report extraction.
35 lines
770 B
Plaintext
35 lines
770 B
Plaintext
# Requirements for package.
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loguru
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build
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setuptools-scm
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twine
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fire
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fuzzywuzzy
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openai
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ruamel-yaml
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torch
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torch_geometric
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tabulate # Convert pandas dataframe to markdown table to make it more readable to LLM
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tables # we use hd5 as default data format. So we have to install pytables
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numpy # we use numpy as default data format. So we have to install numpy
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pandas # we use pandas as default data format. So we have to install pandas
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feedparser
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matplotlib
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langchain
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tiktoken
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scikit-learn
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docker
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fitz # Extract shotsreens from pdf
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# azure identity related
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azure.identity
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# PDF related
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pypdf
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azure-core
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azure-ai-formrecognizer
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# TODO: dependencies for implementing factors.
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# I think it is for running insteading of implementing. The dependency should be in
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statsmodels
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