deploy on hugging face spaces for inference

README.md

@@ -1,73 +1,8 @@
-# Training Transformers from Scratch for Language Translation (English to French)
-
-## Overview
-This project focuses on training a Transformer model from scratch to perform English-to-French translation. It follows a structured approach, from data collection to model deployment using Gradio.
-
-![Transformer Architecture](https://dassignies.law/wp-content/uploads/2024/04/DASSIGNIES-avocat-intelligence-artificielle-cybersecurite-strategie-protection-actifs-immateriels-formations-expertises-blog-transformer-architecture.webp)
-
-## Project Steps
-
-1. **Data Collection**  
-   - Gather parallel English-French text data for training.
-
-2. **Dataset Creation and Upload to Hugging Face**  
-   - Preprocess and structure the dataset.
-   - Upload the dataset to the Hugging Face Hub for easy access.
-
-3. **Training Tokenizers**  
-   - Train separate tokenizers for English and French.
-   - Save and store trained tokenizers.
-
-4. **Creating a Tokenized Dataset**  
-   - Tokenize the dataset using the trained tokenizers.
-   - Publish the tokenized dataset on Hugging Face.
-
-5. **Building the Transformer Model from Scratch**  
-   - Implement custom Transformer components, including:
-     - Encoder
-     - Decoder
-     - Embedding Layer
-     - Positional Encoding
-
-6. **Model Training and Evaluation**  
-   - Train the model using the prepared dataset.
-   - Use Weights & Biases (Wandb) for real-time metric visualization.
-
-7. **Inference**  
-   - Test the trained model with sample English inputs.
-   - Generate translated French text.
-
-8. **Web Interface with Gradio**  
-   - Develop an interactive UI using Gradio for easy model inference.
-
-## Installation
-
-To use the application, install the required dependencies using either `uv` or `pip`:
-
-Using `uv`:
-```bash
-uv pip install -r requirements.txt
-```
-
-Using `pip`:
-```bash
-pip install -r requirements.txt
-```
-
-## Running the Application
-
-To launch the application, run:
-```bash
-python app.py
-```
-
-This will start a Gradio interface where users can input English text and receive French translations.
-
-## Repository Structure
-- **data_collector.py** - Script for data collection.
-- **tokenize_dataset.py** - Prepares and tokenizes dataset.
-- **model.py** - Contains the Transformer model implementation.
-- **train.py** - Training script.
-- **inference.py** - Inference script for model predictions.
-- **app.py** - Web interface with Gradio.
-- **requirements.txt** - List of dependencies.
+title: Test Space
+emoji: 📈
+colorFrom: red
+colorTo: green
+sdk: gradio
+sdk_version: 5.21.0
+app_file: app.py
+pinned: false