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import ai_gradio
from utils_ai_gradio import get_app
# Get the hyperbolic models but keep their full names for loading
LANGCHAIN_MODELS_FULL = [k for k in ai_gradio.registry.keys() if k.startswith("langchain:")]
# Create display names without the prefix
LANGCHAIN_MODELS_DISPLAY = [k.replace("langchain:", "") for k in LANGCHAIN_MODELS_FULL]
# Create and launch the interface using get_app utility
demo = get_app(
models=LANGCHAIN_MODELS_FULL, # Use the full names with prefix
default_model=LANGCHAIN_MODELS_FULL[0],
dropdown_label="Select Langchain Model",
choices=LANGCHAIN_MODELS_DISPLAY, # Display names without prefix
fill_height=True,
)
if __name__ == "__main__":
demo.launch()
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