Add Qwen3 and Stella embedding models to predefined list

- Add Qwen3-Embedding-0.6B, 4B, and 8B models
- Add Stella models: dunzhang/stella_en_400M_v5, stella_en_1.5B_v5, infgrad/stella-base-en-v2
- Update model count to 22+ in description

app.py

@@ -24,6 +24,12 @@ MODELS = {
     "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2": {"trust_remote_code": False},
     "ibm-granite/granite-embedding-30m-english": {"trust_remote_code": False},
     "ibm-granite/granite-embedding-278m-multilingual": {"trust_remote_code": False},
+    "Qwen/Qwen3-Embedding-0.6B": {"trust_remote_code": False},
+    "Qwen/Qwen3-Embedding-4B": {"trust_remote_code": False},
+    "Qwen/Qwen3-Embedding-8B": {"trust_remote_code": False},
+    "dunzhang/stella_en_400M_v5": {"trust_remote_code": False},
+    "dunzhang/stella_en_1.5B_v5": {"trust_remote_code": False},
+    "infgrad/stella-base-en-v2": {"trust_remote_code": False},
 }
 
 # Model cache
@@ -124,7 +130,7 @@ with gr.Blocks(title="Multi-Model Text Embeddings", css="""
     }
 """) as app:
     gr.Markdown("# Multi-Model Text Embeddings")
-    gr.Markdown("Generate embeddings for your text using 16+ state-of-the-art embedding models from Nomic, BGE, Snowflake, IBM Granite, and more.")
+    gr.Markdown("Generate embeddings for your text using 22+ state-of-the-art embedding models from Nomic, BGE, Snowflake, IBM Granite, Qwen3, Stella, and more.")
     
     # Model selector dropdown (allows custom input)
     model_dropdown = gr.Dropdown(