Add initial implementation of txt2graph tool for knowledge graph generation
- Created a new Streamlit application for visualizing knowledge graphs. - Implemented text extraction from PDF, Markdown, and TXT files. - Developed graph building logic using Zep Cloud API. - Added support for custom entity types and relationships. - Included interactive HTML visualization for generated graphs. - Updated .gitignore to include new directories and files. - Added example environment configuration file (.env.example) for API key setup. - Created README.md with installation and usage instructions. - Introduced various utility scripts and styles for enhanced functionality.
This commit is contained in:
18
txt2graph/requirements.txt
Normal file
18
txt2graph/requirements.txt
Normal file
@@ -0,0 +1,18 @@
|
||||
# Zep Cloud SDK
|
||||
zep-cloud>=2.0.0
|
||||
|
||||
# PDF处理
|
||||
PyMuPDF>=1.24.0
|
||||
|
||||
# Markdown处理
|
||||
markdown>=3.5.0
|
||||
|
||||
# Web可视化界面
|
||||
streamlit>=1.38.0
|
||||
|
||||
# 图可视化
|
||||
pyvis>=0.3.2
|
||||
|
||||
# 环境变量
|
||||
python-dotenv>=1.0.0
|
||||
|
||||
Reference in New Issue
Block a user