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| import gradio as gr | |
| with gr.Blocks() as demo: | |
| with gr.Sidebar(): | |
| gr.Markdown("# Inference Provider") | |
| gr.Markdown("Selecciona el modelo a cargar y accede con tu cuenta de Hugging Face.") | |
| token = gr.LoginButton("Sign in") | |
| model_choice = gr.Dropdown(choices=["Qwen/QwQ-32B", "microsoft/phi-4", "perplexity-ai/r1-1776"], | |
| label="Selecciona el modelo") | |
| # Crear contenedores para cada modelo, inicialmente solo el primero es visible | |
| container_model1 = gr.Column(visible=True) | |
| container_model2 = gr.Column(visible=False) | |
| container_model3 = gr.Column(visible=False) | |
| with container_model1: | |
| gr.load("models/Qwen/QwQ-32B", accept_token=token, provider="hyperbolic") | |
| with container_model2: | |
| gr.load("models/microsoft/phi-4", accept_token=token, provider="nebius") | |
| with container_model3: | |
| gr.load("models/perplexity-ai/r1-1776", accept_token=token, provider="fireworks-ai") | |
| # Función para actualizar la visibilidad según el modelo seleccionado | |
| def update_model(selected_model): | |
| if selected_model == "Qwen/QwQ-32B": | |
| return gr.update(visible=True), gr.update(visible=False), gr.update(visible=False) | |
| elif selected_model == "Modelo2": | |
| return gr.update(visible=False), gr.update(visible=True), gr.update(visible=False) | |
| elif selected_model == "Modelo3": | |
| return gr.update(visible=False), gr.update(visible=False), gr.update(visible=True) | |
| model_choice.change(fn=update_model, inputs=model_choice, | |
| outputs=[container_model1, container_model2, container_model3]) | |
| demo.launch() | |