tableQA

Tool for querying natural language on tabular data like csvs,excel sheet,etc.

Features

• Supports detection from multiple csvs
• Support FuzzyString implementation. i.e, incomplete csv values in query can be automatically detected and filled.
• Open-Domain, No training required.

Configuration:

git clone https://github.com/abhijithneilabraham/tableQA

cd tableqa

pip install -r requirements.txt

Quickstart

Keep the csv data and the schemas in seperate folders. Refer cleaned_data and schema for dummy datas.

Getting an SQL query from csv

from agent import Agent
agent=Agent(data_dir,schema_dir) #specify the data and schema directories.
print(agent.get_response("Your question here")) #returns an sql query

Do Sample query on sqlite database

from database import Database
database=Database(data_dir, schema_dir)
response=database.Query_Sqlite("Your question here")
print("Response ={}".format(response)) #returns the result of the sql query after feeding the csv to the database