add nvidia coder

app.py

@@ -27,10 +27,12 @@ from app_nvidia import demo as demo_nvidia
 from app_deepseek import demo as demo_deepseek
 from app_qwen import demo as demo_qwen
 from app_qwen_coder import demo as demo_qwen_coder
+from app_nvidia_coder import demo as demo_nvidia_coder
 from utils import get_app
 
 # Create mapping of providers to their demos
 PROVIDERS = {
+    "NVIDIA Coder": demo_nvidia_coder,
     "Hyperbolic Coder": demo_hyperbolic_coder,
     "Hyperbolic": demo_hyperbolic,
     "Groq Coder": demo_groq_coder,
@@ -64,7 +66,7 @@ PROVIDERS = {
 
 demo = get_app(
     models=list(PROVIDERS.keys()),
-    default_model="Hyperbolic Coder",
+    default_model="NVIDIA Coder",
     src=PROVIDERS,
     dropdown_label="Select Provider",
 )

app_nvidia_coder.py

@@ -0,0 +1,23 @@
+import ai_gradio
+
+from utils_ai_gradio import get_app
+
+# Get the nvidia models but keep their full names for loading
+NVIDIA_MODELS_FULL = [k for k in ai_gradio.registry.keys() if k.startswith("nvidia:")]
+
+# Create display names without the prefix
+NVIDIA_MODELS_DISPLAY = [k.replace("nvidia:", "") for k in NVIDIA_MODELS_FULL]
+
+
+# Create and launch the interface using get_app utility
+demo = get_app(
+    models=NVIDIA_MODELS_FULL,  # Use the full names with prefix
+    default_model=NVIDIA_MODELS_FULL[-1],
+    dropdown_label="Select Nvidia Model",
+    choices=NVIDIA_MODELS_DISPLAY,  # Display names without prefix
+    fill_height=True,
+    coder=True
+)
+
+if __name__ == "__main__":
+    demo.launch()

pyproject.toml

@@ -38,7 +38,7 @@ dependencies = [
     "langchain>=0.3.14",
     "chromadb>=0.5.23",
     "openai>=1.55.0",
-    "ai-gradio[crewai,deepseek,gemini,groq,hyperbolic,openai,smolagents,transformers, langchain, mistral,minimax,nvidia, qwen]>=0.2.33",
+    "ai-gradio[crewai,deepseek,gemini,groq,hyperbolic,openai,smolagents,transformers, langchain, mistral,minimax,nvidia, qwen]>=0.2.34",
 ]
 
 [tool.uv.sources]

requirements.txt

@@ -2,7 +2,7 @@
 #    uv pip compile pyproject.toml -o requirements.txt
 accelerate==1.2.1
     # via ai-gradio
-ai-gradio==0.2.33
+ai-gradio==0.2.34
     # via anychat (pyproject.toml)
 aiofiles==23.2.1
     # via gradio