Create README.md

README.md

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----
-title: Translation With T5
-emoji: 🏢
-colorFrom: yellow
-colorTo: purple
-sdk: gradio
-sdk_version: 5.29.0
-app_file: app.py
-pinned: false
-license: mit
-short_description: Encoder-Decoder
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🌍 English-to-French Translation App
+
+A Gradio web interface for translating English text to French using Hugging Face's T5 transformer models.
+
+Encoder-Decoder Transformers (e.g., T5, BART, mT5) are comonly used for translation, summarization, question answering.
+They combine both encoder and decoder for input-output mappings.
+
+
+## Features
+
+- **Model Selection**: Choose between different T5 model sizes
+  - `t5-small`: Faster inference
+  - `t5-base`: Higher quality translations
+- **Customizable Length**: Control maximum translation output length
+- **Example Texts**: Try pre-loaded examples with one click
+- **Responsive Design**: Works on both desktop and mobile devices
+
+## How to Use
+
+1. **Input Text**:
+   - Type or paste English text in the input box
+2. **Select Model**:
+   - Choose your preferred balance of speed vs quality
+3. **Adjust Length** (Optional):
+   - Use the slider to control translation length
+4. **Click Translate**:
+   - Get instant French translation
+
+## Technical Details
+
+### Models Used
+- [T5-small](https://huggingface.co/t5-small) (60M parameters)
+- [T5-base](https://huggingface.co/t5-base) (220M parameters)
+
+### Dependencies
+- Transformers >=4.30.0
+- PyTorch >=1.10.0
+- Gradio >=3.40.0
+- SentencePiece (for tokenization)
+
+## Deployment
+
+This app is designed for easy deployment on [Hugging Face Spaces](https://huggingface.co/spaces):
+
+1. Create a new Space
+2. Add these files:
+   - `app.py` (main application)
+   - `requirements.txt` (dependencies)
+3. The Space will automatically build and deploy
+
+## Local Development
+
+To run locally:
+```bash
+pip install -r requirements.txt
+python app.py