Update README.md

README.md

@@ -9,57 +9,43 @@ app_file: app.py
 pinned: false
 ---
 ---
-language:
-- multilingual
-- endangered-languages
-tags:
-- translation
-- unesco
-- m2m100
+---
+title: UNESCO Language Translator 🌍
+emoji: 🗣️
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: 3.39.0
+app_file: app.py
+pinned: true
 license: mit
-datasets:
-- UNESCO language vitality data
-metrics:
-- BLEU
-- chrF++
 ---
 
-# UNESCO Language Translator 🌍
-
-**A specialized translation model for UNESCO's endangered languages** powered by Meta's M2M100 and Hugging Face.
-
-## Key Features
-- 🔍 **Endangered Language Focus**: 35+ UNESCO-protected languages
-- ⚡️ **Context-Aware Translation**: Preserves cultural context
-- 📊 **Language Vitality Tags**: Shows preservation status
-- 🤝 **Community Feedback**: Crowdsourced quality improvement
+# UNESCO Language Translator
 
-## Supported Languages
-| Language | ISO Code | Vitality Level |
-|----------|----------|----------------|
-| Aymara   | ay       | Vulnerable     |
-| Cherokee | chr      | Definitely Endangered |
-| Quechua  | qu       | Vulnerable     |
-| ...      | ...      | ...            |
+## Preserving Linguistic Heritage with AI
 
-[See full list](https://unesco.org/languages)
+This space provides translations for endangered languages identified by UNESCO, using Meta's M2M100 model with cultural preservation enhancements.
 
-## Usage
-```python
-from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
+### Key Features:
+- Cultural context preservation for endangered languages
+- Special handling of linguistic nuances
+- Ethical translation guidelines
+- Support for 7+ endangered languages
 
-model = M2M100ForConditionalGeneration.from_pretrained("unesco/translator")
-tokenizer = M2M100Tokenizer.from_pretrained("unesco/translator")
+### Supported Endangered Languages:
+- Quechua (Vulnerable)
+- Aymara (Vulnerable)
+- Cherokee (Endangered)
+- Navajo (Vulnerable)
+- Inuktitut (Vulnerable)
+- Sami (Endangered)
+- Welsh (Vulnerable)
 
-def translate(text, target_lang):
-    tokenizer.src_lang = "auto"
-    encoded = tokenizer(text, return_tensors="pt")
-    generated_tokens = model.generate(
-        **encoded,
-        forced_bos_token_id=tokenizer.get_lang_id(target_lang),
-        cultural_preservation=True  # Unique feature!
-    )
-    return tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
+## Ethical Use
+Please follow UNESCO's guidelines when using translations:
+1. Always credit original knowledge sources
+2. Verify translations with native speakers
+3. Use for cultural preservation, not exploitation
 
-translate("Traditional knowledge matters", "qu")
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+[UNESCO Language Preservation Guidelines](https://en.unesco.org/themes/endangered-languages)