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https://github.com/wahidpanda/sql.ai-text-to-sql-code
SQL.AI is an interactive web application built with Streamlit and powered by Google's GenerativeAI. It allows users to interactively retrieve SQL data through natural language queries and predefined SQL commands. The application connects to a SQLite database, executes SQL queries, and provides visualizations of the retrieved data.
https://github.com/wahidpanda/sql.ai-text-to-sql-code
artificial-intelligence data-science data-science-projects data-scienced data-visualization gemini-pro generative-ai machine-learning text-to-sql
Last synced: about 1 month ago
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SQL.AI is an interactive web application built with Streamlit and powered by Google's GenerativeAI. It allows users to interactively retrieve SQL data through natural language queries and predefined SQL commands. The application connects to a SQLite database, executes SQL queries, and provides visualizations of the retrieved data.
- Host: GitHub
- URL: https://github.com/wahidpanda/sql.ai-text-to-sql-code
- Owner: wahidpanda
- Created: 2024-01-14T11:06:19.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-01-14T12:17:34.000Z (12 months ago)
- Last Synced: 2024-01-14T16:53:44.449Z (12 months ago)
- Topics: artificial-intelligence, data-science, data-science-projects, data-scienced, data-visualization, gemini-pro, generative-ai, machine-learning, text-to-sql
- Language: Python
- Homepage: https://sqlai-text-to-sql-code.streamlit.app/
- Size: 12.7 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# SQL.AI-Text-To-SQL-Code
SQL.AI is an interactive web application built with Streamlit and powered by Google's GenerativeAI. It allows users to interactively retrieve SQL data through natural language queries and predefined SQL commands. The application connects to a SQLite database, executes SQL queries, and provides visualizations of the retrieved data.
**Features**
- Natural Language Processing: Utilizes Google's GenerativeAI to convert natural language questions into SQL queries.
- Predefined SQL Commands: Offers a set of predefined SQL commands for quick data retrieval.
- Interactive Data Visualization: Provides visualizations such as bar charts and pie charts based on the retrieved data.
- Custom Search Options: Allows users to select specific columns for visualization and choose date ranges.
- CSV Download: Enables users to download the retrieved data as a CSV file.
**How to Use**
- Ask a Question: Input your SQL-related question in natural language and click "Ask SQL.AI."
- Execute Predefined Commands: Select a predefined SQL command from the dropdown and click "Execute Command."
- Visualize Data: Explore interactive visualizations based on the retrieved data.
- Download Data: Download the retrieved data as a CSV file.
**Getting Started**
- Clone the repository.
- Install dependencies using pip install -r requirements.txt.
- Run the application with streamlit run app.py.
**License**
This project is licensed under the MIT License.