Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
|
@@ -773,7 +773,7 @@ def create_api_platform():
|
|
| 773 |
# -------------------------
|
| 774 |
with gr.Blocks(title="Sinhala Embeddings API", css=styles) as demo:
|
| 775 |
gr.Markdown("""
|
| 776 |
-
# 🇱🇰 Embedding_Siyabasa API
|
| 777 |
## Welcome to the official HuggingFace Space for _Embedding Siyabasa_
|
| 778 |
|
| 779 |
The `Embedding_Siyabasa API` provides high-quality text embedding models specifically designed for the `Sinhala` language. Generate embeddings for Sinhala words, phrases, and sentences using our latest model `UgannA_SiyabasaV2`. These language-specific embeddings power advanced **NLP tasks such as semantic search, text classification, and document clustering**, delivering more accurate and context-aware results than traditional keyword-based approaches.
|
|
|
|
| 773 |
# -------------------------
|
| 774 |
with gr.Blocks(title="Sinhala Embeddings API", css=styles) as demo:
|
| 775 |
gr.Markdown("""
|
| 776 |
+
# 🇱🇰 Embedding_Siyabasa - Sinhala | An Advanced Embeddings API for Sinhala Language
|
| 777 |
## Welcome to the official HuggingFace Space for _Embedding Siyabasa_
|
| 778 |
|
| 779 |
The `Embedding_Siyabasa API` provides high-quality text embedding models specifically designed for the `Sinhala` language. Generate embeddings for Sinhala words, phrases, and sentences using our latest model `UgannA_SiyabasaV2`. These language-specific embeddings power advanced **NLP tasks such as semantic search, text classification, and document clustering**, delivering more accurate and context-aware results than traditional keyword-based approaches.
|