Update README.md

README.md

@@ -4,10 +4,53 @@ emoji: 🦀
 colorFrom: red
 colorTo: gray
 sdk: gradio
-sdk_version: 4.43.0
+sdk_version: 5.9.1
 app_file: app.py
 pinned: false
 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# SQL Generation 🦀
+
+Welcome to the **SQL Generation** Gradio application! This tool leverages advanced machine learning models to assist in generating SQL queries based on natural language inputs. Whether you're a developer, data analyst, or just curious about SQL, this app aims to simplify the process of crafting SQL queries.
+
+## Features
+
+- **Natural Language to SQL**: Convert plain English descriptions into SQL queries.
+- **Multiple Datasets**: Trained on diverse datasets to handle various SQL generation tasks.
+- **User-Friendly Interface**: Built with Gradio for an intuitive and interactive experience.
+
+## Installation
+
+To run this application locally, ensure you have Python 3.10 or higher installed. Then, install the required dependencies:
+
+```bash
+pip install gradio transformers datasets
+```
+## Usage
+After installing the dependencies, you can start the application by running:
+
+```bash
+python app.py
+```
+This will launch a local server. Open your browser and navigate to http://127.0.0.1:7860 to access the interface.
+
+### Datasets Used
+The model has been trained on the following datasets:
+- b-mc2/sql-create-context: Provides context for SQL query generation.
+- TuneIt/o1-python: Offers examples of Python code snippets.
+- HuggingFaceFW/fineweb-2: Includes various language models for fine-tuning.
+- sentence-transformers/embedding-training-data: Supplies data for training sentence embeddings.
+
+## Model
+The application utilizes the distilbert-base-uncased model from Hugging Face, known for its efficiency and performance in natural language processing tasks.
+
+## License
+This project is licensed under the MIT License.
+
+## Acknowledgments
+- **Gradio** for providing an easy-to-use interface for machine learning models.
+- **Hugging Face** for hosting the pre-trained models and datasets.
+- **Datasets** for offering a wide range of datasets for training and evaluation.
+
+For more information, refer to the **Gradio** documentation.