Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- google/flan-t5-base
+library_name: transformers
+tags:
+- '#ai'
+- '#codefixing'
+- '#programming'
+- '#syntax'
+- '#gptmodel'
+- '#gpt'
+- '#free'
+- '#multilanguage'
+- '#latest'
+---
+# SnaxFix: Advanced Syntax Error Fixer
+
+SnaxFix is an AI-powered tool designed to automatically fix syntax errors in code across multiple programming languages. Built on top of the `google/flan-t5-base` model and fine-tuned by [wizcodes12](https://huggingface.co/wizcodes12), this tool supports 11 programming languages: Python, JavaScript, Java, C, C++, C#, Rust, PHP, HTML, CSS, and SQL. The model is hosted on Hugging Face at [wizcodes12/snaxfix-model](https://huggingface.co/wizcodes12/snaxfix-model).
+
+This repository contains a Gradio-based web application for interactively testing the syntax error fixing capabilities of the model. The application is designed to run in a Hugging Face Space or locally, providing a user-friendly interface with features like syntax highlighting, language selection, example code loading, and history tracking.
+
+[![Gradio app](https://img.shields.io/badge/%F0%9F%91%BB%20Demo-Gradio-000?logo=gradio&logoColor=white&style=flat-square)](https://huggingface.co/spaces/wizcodes/snaxfix-app)
+
+## Features
+
+- **Multi-Language Support**: Fix syntax errors in Python, JavaScript, Java, C, C++, C#, Rust, PHP, HTML, CSS, and SQL.
+- **Interactive Interface**: Built with Gradio, featuring a clean UI with code input/output, language selection, and history tracking.
+- **Example Snippets**: Load pre-defined broken code examples for each supported language to test the model.
+- **History Tracking**: View a history of all fixes performed during a session.
+- **Syntax Highlighting**: Code input and output areas support syntax highlighting for better readability.
+- **Responsive Design**: The Gradio interface is styled with a modern theme for an enhanced user experience.
+
+## Installation
+
+To run the SnaxFix application locally or in a Hugging Face Space, follow these steps:
+
+### Prerequisites
+- Python 3.8+
+- A compatible GPU (optional but recommended for faster inference)
+- Git (for cloning the repository)
+
+### Steps
+1. **Clone the Repository** (if applicable):
+   ```bash
+   git clone https://github.com/wizcodes12/snaxfix-model.git
+   cd snaxfix-model
+   ```
+
+2. **Install Dependencies**:
+   Create a virtual environment and install the required packages:
+   ```bash
+   python -m venv venv
+   source venv/bin/activate  # On Windows: venv\Scripts\activate
+   pip install -r requirements.txt
+   ```
+
+3. **Run the Application**:
+   Start the Gradio app:
+   ```bash
+   python app.py
+   ```
+
+   This will launch a web interface accessible at `http://localhost:7860` (or another port if specified).
+
+## Usage
+
+1. **Select a Language**: Choose a programming language from the dropdown menu (e.g., Python, JavaScript).
+2. **Enter Code**: Input code with syntax errors in the code editor. The editor supports syntax highlighting for the selected language.
+3. **Fix Syntax**: Click the "Fix Syntax" button to process the code and view the corrected version in the output editor.
+4. **Load Example**: Click the "Load Example" button to populate the input editor with a sample broken code snippet for the selected language.
+5. **Clear Input**: Use the "Clear Input" button to reset the input editor.
+6. **View History**: Expand the "History of Fixes" accordion to see a log of all fixes, including timestamps, input code, and corrected code.
+7. **Clear History**: Click the "Clear History" button to reset the fix history.
+8. **Learn More**: Expand the "About & License" accordion to view information about the project and its MIT License.
+
+## Example
+
+Below is a Python script demonstrating how to use the `wizcodes12/snaxfix-model` to fix syntax errors programmatically:
+
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+# Model configuration
+model_id = "wizcodes12/snaxfix-model"
+
+print("📦 Loading model...")
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
+
+# Prepare input
+language = "python"
+broken_code = "def hello()\n    print('hi')"
+input_text = f"<{language.upper()}> Fix the syntax errors in this {language} code: {broken_code}"
+
+# Run inference
+inputs = tokenizer(input_text, return_tensors="pt", truncation=True, max_length=512)
+
+print("⚙️ Generating fix...")
+outputs = model.generate(
+    **inputs,
+    max_length=512,
+    num_beams=4,
+    early_stopping=True,
+    temperature=0.7,
+    pad_token_id=tokenizer.pad_token_id,
+    use_cache=True
+)
+
+# Show results
+fixed_code = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+print("\n🧪 Input:")
+print(input_text)
+
+print("\n✅ Fixed:")
+print(fixed_code)
+```
+
+**Expected Output**:
+```
+📦 Loading model...
+⚙️ Generating fix...
+
+🧪 Input:
+<PYTHON> Fix the syntax errors in this python code: def hello()
+    print('hi')
+
+✅ Fixed:
+def hello():
+    print('hi')
+```
+
+This script loads the model, prepares an input with a syntax error (missing colon in a Python function definition), and generates the corrected code. The model expects input in the format `<LANGUAGE> Fix the syntax errors in this <language> code: <broken_code>`. Adjust the `language` and `broken_code` variables to test other languages and errors.
+
+## Requirements
+
+The `requirements.txt` file includes the following dependencies:
+```
+gradio==4.44.0
+transformers==4.30.2
+torch==2.0.1
+sentencepiece==0.1.99
+```
+
+These versions are pinned to ensure compatibility with the model and Gradio interface.
+
+## Model Details
+
+- **Model Name**: `wizcodes12/snaxfix-model`
+- **Base Model**: `google/flan-t5-base`
+- **Training Data**: 15,000 synthetic examples of broken and correct code across 11 programming languages, generated using custom error patterns.
+- **Supported Languages**: Python, JavaScript, Java, C, C++, C#, Rust, PHP, HTML, CSS, SQL
+- **Max Input Length**: 512 tokens
+- **Training Environment**: Optimized for Kaggle with mixed precision training and memory management
+
+The model was fine-tuned to recognize and fix common syntax errors, such as missing semicolons, incorrect brackets, wrong keyword cases, and more. It uses special tokens (e.g., `<PYTHON>`, `<JAVASCRIPT>`) to handle language-specific contexts.
+
+## Hosting on Hugging Face Spaces
+
+To deploy this application on a Hugging Face Space:
+1. Create a new Space on [Hugging Face](https://huggingface.co/spaces).
+2. Upload the following files:
+   - `app.py`
+   - `requirements.txt`
+   - `README.md` (optional, for documentation)
+3. Ensure the Space uses a Python environment with GPU support (if available).
+4. The Space will automatically install dependencies from `requirements.txt` and run `app.py`.
+
+## Contributing
+
+Contributions are welcome! Please open an issue or pull request on the [GitHub repository](https://github.com/wizcodes12/snaxfix-model) for bug reports, feature requests, or improvements.
+
+## License
+
+This project is licensed under the MIT License. See the [LICENSE](https://github.com/wizcodes12/snaxfix-model/blob/main/LICENSE) file for details.
+
+```plaintext
+MIT License
+
+Copyright (c) 2025 wizcodes12
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+```
+
+## Contact
+
+For questions or support, contact [wizcodes12](https://huggingface.co/wizcodes12) or open an issue on the [GitHub repository](https://github.com/wizcodes12/snaxfix-model).
+
+---
+
+Happy coding with SnaxFix!