https://github.com/arya920/querio_lingua-nl-to-sql

QuerioLingua is a Streamlit web application that allows you to generate SQL queries for your datasets using natural language prompts & text-davinci-003 as a base mode
https://github.com/arya920/querio_lingua-nl-to-sql

natural-language-processing nl-to-sql query-language sqlquerybuilder streamlit text-davinci-003

Last synced: about 1 month ago
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QuerioLingua is a Streamlit web application that allows you to generate SQL queries for your datasets using natural language prompts & text-davinci-003 as a base mode

• Host: GitHub
• URL: https://github.com/arya920/querio_lingua-nl-to-sql
• Owner: Arya920
• License: apache-2.0
• Created: 2023-08-11T19:02:29.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-14T11:49:58.000Z (about 1 year ago)
• Last Synced: 2023-12-14T12:49:31.547Z (about 1 year ago)
• Topics: natural-language-processing, nl-to-sql, query-language, sqlquerybuilder, streamlit, text-davinci-003
• Language: Python
• Homepage: https://queriolingua.streamlit.app/
• Size: 60.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
![Landing Page](https://github.com/Arya920/Querio_Lingua-NL-to-SQL/blob/main/ss.png)

### QuerioLingua SQL Query Generator

QuerioLingua is a Streamlit web application that allows you to generate SQL queries for your datasets using natural language prompts & text-davinci-003 as a base model.

[Direct Link to Web App](https://queriolingua.streamlit.app/)

## Features

- Upload a CSV file to analyze data.

- Get the DataFrame Description.

- Enter natural language queries to generate corresponding SQL queries.

- View SQL queries and their results.

## Getting Started

1. Clone this repository to your local machine:

   ```bash

      git clone https://github.com/yourusername/queriolingua-app.git

2. Install the Required Packages:

```bash

   pip install -r requirements.txt

```

set up your OpenAI API key:

- Go to the OpenAI Developer Platform: https://platform.openai.com/account/api-keys

- Copy your API key.

- Open app.py and replace "YOUR_OPENAI_API_KEY" with your actual API key.

streamlit run app.py

Usage

- Upload a CSV file using the sidebar.

- Enter a natural language query in the text input field.

- Click the "Generate SQL" button to generate SQL queries and view the results.

Customization

- You can customize the styling and appearance of the Streamlit app by modifying the custom_style in app.py.

-  Additionally, you can edit the config.toml file in the .streamlit directory to change the theme and appearance of your app.

Contributing

- Contributions are welcome! If you find a bug or want to add a new feature, feel free to open an issue or submit a pull request.