Add snowflake-arctic-embed-m-long model with trust_remote_code=True

app.py

@@ -16,6 +16,7 @@ MODELS = {
     "sentence-transformers/all-mpnet-base-v2": {"trust_remote_code": False},
     "Snowflake/snowflake-arctic-embed-m": {"trust_remote_code": False},
     "Snowflake/snowflake-arctic-embed-l": {"trust_remote_code": False},
+    "Snowflake/snowflake-arctic-embed-m-long": {"trust_remote_code": True},
     "Snowflake/snowflake-arctic-embed-m-v2.0": {"trust_remote_code": False},
     "BAAI/bge-large-en-v1.5": {"trust_remote_code": False},
     "BAAI/bge-base-en-v1.5": {"trust_remote_code": False},
@@ -105,7 +106,7 @@ async def list_models():
 
 with gr.Blocks(title="Multi-Model Text Embeddings") as app:
     gr.Markdown("# Multi-Model Text Embeddings")
-    gr.Markdown("Generate embeddings for your text using 15+ state-of-the-art embedding models from Nomic, BGE, Snowflake, IBM Granite, and more.")
+    gr.Markdown("Generate embeddings for your text using 16+ state-of-the-art embedding models from Nomic, BGE, Snowflake, IBM Granite, and more.")
     
     # Model selector dropdown
     model_dropdown = gr.Dropdown(
@@ -202,6 +203,7 @@ with gr.Blocks(title="Multi-Model Text Embeddings") as app:
     - `sentence-transformers/all-mpnet-base-v2` - Balanced performance embedding model
     - `Snowflake/snowflake-arctic-embed-m` - Medium-sized Arctic embedding model
     - `Snowflake/snowflake-arctic-embed-l` - Large Arctic embedding model
+    - `Snowflake/snowflake-arctic-embed-m-long` - Medium Arctic model optimized for long context
     - `Snowflake/snowflake-arctic-embed-m-v2.0` - Latest Arctic embedding with multilingual support
     - `BAAI/bge-large-en-v1.5` - Large BGE embedding model for English
     - `BAAI/bge-base-en-v1.5` - Base BGE embedding model for English