DataChat App
DataChat is a web application that uses OpenAI's GPT-3 to generate SQL queries from natural language questions. It connects to a MongoDB database to extract the schema information and use it to fine-tune the GPT-3 model on the user's data. The application is built with Python, Streamlit, and Flask.
Not this app needs further testing but serves as a POC....
Features
Connect to a MongoDB database View the schema information for selected collections Fine-tune the GPT-3 model on the schema information and WikiSQL data Generate SQL queries from natural language questions using the fine-tuned model
Installation
Clone the repository to your local machine Create a virtual environment and activate it Install the dependencies using pip install -r requirements.txt Set your OpenAI API key as an environment variable named OPENAI_API_KEY Start the Flask API by running python api.py Start the Streamlit app by running streamlit run app.py
Usage
Enter the name of your MongoDB database in the text input box in the sidebar. Click the "Connect" button to connect to the database. Select one or more collections from the list of collections in the sidebar. Click the "Train model" button to fine-tune the GPT-3 language model on your database schema and the WikiSQL dataset. Ask a natural language question in the text input box in the main area of the app. Click the "Generate SQL query" button to generate a SQL query from your question.
Credits The DataChat App was created by Eddie Thomas.
License The DataChat App is released under the MIT License. See LICENSE for details.