add qwq

app.py

@@ -1,5 +1,4 @@
 from app_huggingface import demo as demo_huggingface
-from app_openrouter import demo as demo_openrouter
 from utils import get_app
 import gradio as gr
 
@@ -14,22 +13,12 @@ gr.load(
     coder=True,
     provider="together"
 ).launch()""",
-"OpenRouter Coder": """
-import gradio as gr
-import ai_gradio
-gr.load(
-    name='openrouter:anthropic/claude-3.7-sonnet',
-    src=ai_gradio.registry,
-    coder=True
-).launch()""",
-
     # Add similar snippets for other providers
 }
 
 # Create mapping of providers to their demos
 PROVIDERS = {
     "Hugging Face": demo_huggingface,
-    "OpenRouter Coder": demo_openrouter
 }
 
 # Modified get_app implementation

app_huggingface.py

@@ -12,10 +12,10 @@ HUGGINGFACE_MODELS_DISPLAY = [k.replace("huggingface:", "") for k in HUGGINGFACE
 # Create and launch the interface using get_app utility
 demo = get_app(
     models=HUGGINGFACE_MODELS_FULL,  # Use the full names with prefix
-    default_model=HUGGINGFACE_MODELS_FULL[0],
+    default_model=HUGGINGFACE_MODELS_FULL[16],
     dropdown_label="Select Huggingface Model",
     choices=HUGGINGFACE_MODELS_DISPLAY,  # Display names without prefix
     fill_height=True,
     coder=True,
-    provider="together"
+    provider="fireworks-ai"
 )

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, openrouter, huggingface]>=0.2.50",
+    "ai-gradio[crewai,deepseek,gemini,groq,hyperbolic,openai,smolagents,transformers, langchain, mistral,minimax,nvidia, qwen, openrouter, huggingface]>=0.2.53",
 ]
 
 [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==0.2.50
+ai-gradio==0.2.53
     # via anychat (pyproject.toml)
 aiofiles==23.2.1
     # via gradio