Update README.md

README.md

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 app_file: app.py
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 ---
+# 🧠 Natural Language to SQL Query Generator with Results 🧠
+
+Convert human-readable questions into valid SQL queries using a combination of **semantic search**, **LLMs**, and **Gradio UI** — and see the **query results** live from your database!
+
+## 🚀 Features
+
+* 🔍 **Understand Natural Language:** Converts simple English questions to SQL using powerful embeddings and LLMs (LLaMA3 via Groq).
+* 🧠 **Smart Table Matching:** Uses SentenceTransformer-based embeddings and cosine similarity to pick the most relevant tables.
+* 🛠️ **Dynamic SQL Generation:** Automatically generates JOINs when needed based on metadata.
+* 📄 **Predefined Schema:** Works with three tables — `student`, `employee`, and `course`.
+* 🧪 **Instant Execution:** Runs the generated SQL query and shows the result in the UI.
+* 🌐 **Interactive UI:** Clean, web-based interface built with Gradio.
+
+---
+
+## 🧰 Tech Stack
+
+* Python 🐍
+* [Gradio](https://gradio.app/) — For the frontend UI
+* [Sentence Transformers](https://www.sbert.net/) — For encoding metadata and queries
+* [Groq API](https://console.groq.com/) — For LLaMA3-powered SQL generation
+* SQLite — Lightweight DB backend
+
+---
+
+## 🗃️ Tables Overview
+
+### 🧑‍🎓 `student`
+
+| Column               | Description          |
+| -------------------- | -------------------- |
+| student\_id          | Unique ID of student |
+| first\_name          | First name           |
+| last\_name           | Last name            |
+| date\_of\_birth      | Birthdate            |
+| email                | Email address        |
+| phone\_number        | Contact number       |
+| major                | Field of study       |
+| year\_of\_enrollment | Year enrolled        |
+
+### 👨‍💼 `employee`
+
+| Column            | Description           |
+| ----------------- | --------------------- |
+| employee\_id      | Unique ID of employee |
+| first\_name       | First name            |
+| last\_name        | Last name             |
+| email             | Email address         |
+| department        | Department name       |
+| position          | Job title             |
+| salary            | Salary                |
+| date\_of\_joining | Joining date          |
+
+### 📘 `course`
+
+| Column         | Description                    |
+| -------------- | ------------------------------ |
+| course\_id     | Unique ID of course            |
+| course\_name   | Course title                   |
+| course\_code   | Code for the course            |
+| instructor\_id | Refers to `employee_id`        |
+| department     | Department offering the course |
+| credits        | Number of credits              |
+| semester       | Semester offered               |
+
+---
+
+## ⚙️ Setup Instructions
+
+### 1. Clone the Repo
+
+```bash
+git clone https://github.com/your-username/sql-query-generator.git
+cd sql-query-generator
+```
+
+### 2. Install Dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+### 3. Set Up `.env`
+
+Create a `.env` file in the root directory and add your [Groq API Key](https://console.groq.com/):
+
+```
+groq_api_key=your_groq_api_key_here
+```
+
+### 4. Launch the App
+
+```bash
+python app.py
+```
+
+Or just run:
+
+```bash
+streamlit run app.py  # If you're using a streamlit version
+```
+
+### 5. Use the Web Interface
+
+Go to the URL provided in the terminal (typically `http://127.0.0.1:7860`) and enter your natural language query.
+
+---
+
+## 🧪 Sample Queries
+
+| Natural Language Query                              | Action                        |
+| --------------------------------------------------- | ----------------------------- |
+| "List all students enrolled in 2022"                | Filters `student` table       |
+| "Show all employees in Computer Science department" | Filters `employee` table      |
+| "Get courses taught in Fall semester"               | Filters `course` table        |
+| "Find course names and instructor names"            | Joins `course` and `employee` |
+
+---
+
+## 🔒 Security & Limitations
+
+* This is a prototype/demo and should not be used in production without input sanitization.
+* Currently limited to SELECT queries only.
+* Works only with the predefined schema (3 tables).
+
+---
+
+## 🤝 Contributing
+
+Contributions are welcome! Feel free to open an issue or pull request for:
+
+* New table additions
+* Better embeddings
+* UI/UX improvements
+* Model optimization
+
+
+## 👨‍💻 Author
+
+Built by \Jamgala Bala Swaroop
+📫 Email: [jbsroop@gmail.com](mailto:jbsroop@gmail.com)
+
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference