add hyperbolic deepseek

app.py

@@ -36,13 +36,13 @@ PROVIDERS = {
     "Gemini": demo_gemini,
     "OpenAI Voice": demo_openai_voice,
     "Gemini Voice": demo_gemini_voice,
+    "Hyperbolic": demo_hyperbolic,
     "CrewAI": demo_crew,
     "LumaAI": demo_lumaai,
     "ChatGPT": demo_openai,
     "Grok": demo_grok,
     "Cohere": demo_cohere,
     "SambaNova": demo_sambanova,
-    "Hyperbolic": demo_hyperbolic,
     "OminiControl": demo_omini,
     "Fireworks": demo_fireworks,
     "Together": demo_together,

app_hyperbolic.py

@@ -1,27 +1,25 @@
-import os
+import ai_gradio
+from utils_hyperbolic import get_app
 
-import hyperbolic_gradio
+# Get the hyperbolic models but keep their full names for loading
+HYPERBOLIC_MODELS_FULL = [
+    k for k in ai_gradio.registry.keys() 
+    if k.startswith('hyperbolic:')
+]
 
-from utils import get_app
+# Create display names without the prefix
+HYPERBOLIC_MODELS_DISPLAY = [
+    k.replace('hyperbolic:', '') 
+    for k in HYPERBOLIC_MODELS_FULL
+]
 
+
+# Create and launch the interface using get_app utility
 demo = get_app(
-    models=[
-        "Qwen/Qwen2.5-Coder-32B-Instruct",
-        "meta-llama/Llama-3.2-3B-Instruct",
-        "meta-llama/Meta-Llama-3.1-8B-Instruct",
-        "meta-llama/Meta-Llama-3.1-70B-Instruct",
-        "meta-llama/Meta-Llama-3-70B-Instruct",
-        "NousResearch/Hermes-3-Llama-3.1-70B",
-        "Qwen/Qwen2.5-72B-Instruct",
-        "deepseek-ai/DeepSeek-V2.5",
-        "meta-llama/Meta-Llama-3.1-405B-Instruct",
-        "Qwen/QwQ-32B-Preview",
-        "meta-llama/Llama-3.3-70B-Instruct",
-    ],
-    default_model="meta-llama/Llama-3.3-70B-Instruct",
-    src=hyperbolic_gradio.registry,
-    accept_token=not os.getenv("HYPERBOLIC_API_KEY"),
+    models=HYPERBOLIC_MODELS_FULL,  # Use the full names with prefix
+    default_model=HYPERBOLIC_MODELS_FULL[-1],
+    dropdown_label="Select Hyperbolic Model",
+    choices=HYPERBOLIC_MODELS_DISPLAY,  # Display names without prefix
+    fill_height=True
 )
 
-if __name__ == "__main__":
-    demo.launch()

requirements.txt

@@ -513,7 +513,7 @@ xai-gradio==0.0.2
     # via anychat (pyproject.toml)
 yarl==1.18.3
     # via aiohttp
-ai-gradio[deepseek,crewai]==0.1.6
+ai-gradio[deepseek,crewai,hyperbolic]==0.1.7
 crewai==0.86.0
 instructor==1.3.3
 crewai-tools>=0.17.0

utils_hyperbolic.py

@@ -0,0 +1,44 @@
+import gradio as gr
+
+def get_app(
+    models: list[str],
+    default_model: str,
+    dropdown_label: str = "Select Hyperbolic Model",
+    choices: list[str] = None,
+    **kwargs,
+) -> gr.Blocks:
+    display_choices = choices if choices is not None else models
+    
+    def update_model(new_model: str) -> list[gr.Column]:
+        if choices is not None:
+            idx = display_choices.index(new_model)
+            new_model = models[idx]
+        return [gr.Column(visible=model_name == new_model) for model_name in models]
+
+    with gr.Blocks(fill_height=True) as demo:
+        model = gr.Dropdown(
+            label=dropdown_label, 
+            choices=display_choices,
+            value=choices[models.index(default_model)] if choices else default_model
+        )
+
+        columns = []
+        for model_name in models:
+            with gr.Column(visible=model_name == default_model) as column:
+                load_kwargs = {k: v for k, v in kwargs.items() if k not in ['src', 'choices']}
+                from ai_gradio.providers import registry
+                gr.load(name=model_name, src=registry, **load_kwargs)
+            columns.append(column)
+
+        model.change(
+            fn=update_model,
+            inputs=model,
+            outputs=columns,
+            api_name=False,
+            queue=False,
+        )
+
+    for fn in demo.fns.values():
+        fn.api_name = False
+
+    return demo