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

• 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.

git clone https://github.com/adwaith2000/ConvAI_tabular.git

cd tableqa

pip install -r requirements.txt

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

from tableqa.agent import Agent
agent=Agent(df) #input your dataframe
sql=agent.get_query("Your question here")  
print(sql) #returns an sql query

from tableqa.agent import Agent
agent=Agent(df) #input your dataframe
response=agent.query_db("Your question here")
print(response)