Update app.py

app.py

@@ -65,6 +65,7 @@ docs = 'https://esdocs.ai.remeinium.com'
 js_docs = 'https://esdocs.ai.remeinium.com/api-reference/introduction#javascript'
 cu_docs = 'https://esdocs.ai.remeinium.com/api-reference/introduction#curl'
 status = 'https://stats.uptimerobot.com/HZFBOsSvBT'
+model = 'https://huggingface.com/Remeinium/UgannA_SiyabasaV2'
 
 # -------------------------
 # Model Loading
@@ -76,7 +77,7 @@ if not HF_TOKEN:
 try:
     print("Downloading UgannA_SiyabasaV2 model...")
     model_path = hf_hub_download(
-        repo_id="Remeinium/UgannA_SiyabasaV2-Best-yet",
+        repo_id="Remeinium/UgannA_SiyabasaV2",
         filename="UgannA_SiyabasaV2.bin",
         token=HF_TOKEN,
         repo_type="model"
@@ -777,6 +778,8 @@ with gr.Blocks(title="Sinhala Embeddings API", css=styles) as demo:
             ## Welcome to the official HuggingFace Space for _Embedding Siyabasa_
             
             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.
+
+            Get the Model (`UgannA_SiyabasaV2`): https://huggingface.co/Remeinium/UgannA_SiyabasaV2
             
             **Key features:**
             - **Language-specific**: Optimized exclusively for Sinhala text