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docs: add readme
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readme.md
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# Build a Natural Language SQL Chatbot with GPT-4
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Welcome to the GitHub repository for our tutorial on building a natural language SQL chatbot using GPT-4! This project guides you through the development of a chatbot that can interpret natural language queries, generate SQL queries, and fetch results from a SQL database, all in an intuitive and user-friendly way. It utilizes the power of OpenAI's GPT-4 model, integrated with a Streamlit GUI for an enhanced interaction experience.
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🟡 This repository serves as supporting material for the [YouTube video tutorial](https://youtu.be/YqqRkuizNN4).
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## Features
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- **Natural Language Processing**: Uses GPT-4 to interpret and respond to user queries in natural language.
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- **SQL Query Generation**: Dynamically generates SQL queries based on the user's natural language input.
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- **Database Interaction**: Connects to a SQL database to retrieve query results, demonstrating practical database interaction.
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- **Streamlit GUI**: Features a user-friendly interface built with Streamlit, making it easy for users of all skill levels.
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- **Python-based**: Entirely coded in Python, showcasing best practices in software development with modern technologies.
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## Brief Explanation of How the Chatbot Works
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The chatbot works by taking a user's natural language query, converting it into a SQL query using GPT-4, executing the query on a SQL database, and then presenting the results back to the user in natural language. This process involves several steps of data processing and interaction with the OpenAI API and a SQL database, all seamlessly integrated into a Streamlit application.
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For a more detailed explanation and a step-by-step guide, refer to the [YouTube video tutorial](https://youtu.be/link-to-your-video).
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## Installation
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Ensure you have Python installed on your machine. Then clone this repository:
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```bash
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git clone [repository-link]
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cd [repository-directory]
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```
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Install the required packages:
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```bash
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pip install -r requirements.txt
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```
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Create your own .env file with the necessary variables, including your OpenAI API key:
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```bash
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OPENAI_API_KEY=[your-openai-api-key]
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```
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## Usage
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To launch the Streamlit app and interact with the chatbot:
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```bash
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streamlit run app.py
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```
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## Contributing
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As this repository accompanies the [YouTube video tutorial](https://youtu.be/YqqRkuizNN4), we are primarily focused on providing a comprehensive learning experience. Contributions for bug fixes or typos are welcome.
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## License
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This project is licensed under the MIT License - see the LICENSE file for details.
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---
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**Note**: This project is intended for educational and research purposes. Please ensure compliance with the terms of use and guidelines of any APIs or services used.
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---
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We hope this repository aids in your exploration of integrating AI with web technologies. For more informative tutorials, be sure to check out [Your YouTube Channel].
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Happy Coding! 🚀👨💻🤖
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---
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*If you find this project helpful, please consider giving it a star!*
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---
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