TablesGPT
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lightshifted
GPT-powered solution for extracting and modifying data in tables using natural language commands.
A text area for modifying the tabular data through natural language commands is a must.
By integrating LangChain, we'll be able to utilize Agents with tools necessary to perform calculations to table data.
As a user, I want to be able to interact with the table by providing inputs through a terminal interface that is displayed when the table is rendered, so that...
Table display is handled in the `dictTable` React component.
index = GPTVectorStoreIndex.from_documents(documents) from llama_index.callbacks.global_handlers import set_global_handler [57](https://file+.vscode-resource.vscode-cdn.net/c%3A/Users/john.tan/tablesgpt/notebook/~/AppData/Roaming/Python/Python312/site-packages/llama_index/core/callbacks/base.py:57) set_global_handler() [58](https://file+.vscode-resource.vscode-cdn.net/c%3A/Users/john.tan/tablesgpt/notebook/~/AppData/Roaming/Python/Python312/site-packages/llama_index/core/callbacks/base.py:58) handlers = llama_index.global_handler ModuleNotFoundError: No module named 'llama_index.callbacks' Dear community please help resolve this issue. Thank you and much appreciated!
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GPT-powered solution for extracting and modifying data in tables using natural language commands.