Spaces:
Sleeping
Sleeping
File size: 2,138 Bytes
c9a4754 81b96a3 c9a4754 81b96a3 c9a4754 81b96a3 c9a4754 81b96a3 c9a4754 81b96a3 c9a4754 81b96a3 c9a4754 81b96a3 c9a4754 d0b7696 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 |
---
title: English to French Translator
emoji: 🌍
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: true
license: apache-2.0
hardware:
accelerator: CPU
cpu: '2'
memory: 8GB
env:
- name: HF_TOKEN
description: Hugging Face API token for private models
required: false
datasets:
- opus_books
- wmt14
custom:
progress: 'true'
timeout: 300
docker:
parent_space: username/space-name
tags:
- translation
- nlp
- t5
- multilingual
- huggingface
---
# 🌍 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 |