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import gradio as gr |
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from app_sambanova_qwen import demo as demo_sambanova_qwen |
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from app_claude import demo as demo_claude |
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from app_fireworks import demo as demo_fireworks |
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from app_gemini import demo as demo_gemini |
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from app_groq import demo as demo_groq |
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from app_hf import demo as demo_hf |
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from app_hyperbolic import demo as demo_hyperbolic |
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from app_mistral import demo as demo_mistral |
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from app_nvidia import demo as demo_nvidia |
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from app_openai import demo as demo_openai |
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from app_perplexity import demo as demo_perplexity |
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from app_qwen import demo as demo_qwen |
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from app_sambanova import demo as demo_sambanova |
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from app_together import demo as demo_together |
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from app_xai import demo as demo_grok |
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from app_flux import demo as demo_flux |
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from app_ltx_video import demo as demo_ltx_video |
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with gr.Blocks(fill_height=True) as demo: |
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with gr.Tab("Meta Llama"): |
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demo_sambanova.render() |
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gr.Markdown( |
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"**Note:** You need to use a SambaNova API key from [SambaNova Cloud](https://cloud.sambanova.ai/)." |
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) |
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with gr.Tab("Gemini"): |
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demo_gemini.render() |
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with gr.Tab("LTX Video"): |
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demo_ltx_video.render() |
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with gr.Tab("ChatGPT"): |
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demo_openai.render() |
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with gr.Tab("Claude"): |
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demo_claude.render() |
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with gr.Tab("Grok"): |
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demo_grok.render() |
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with gr.Tab("Hugging Face"): |
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demo_hf.render() |
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with gr.Tab("Groq"): |
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demo_groq.render() |
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with gr.Tab("Hyperbolic"): |
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demo_hyperbolic.render() |
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gr.Markdown(""" |
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<div> |
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<img src="https://storage.googleapis.com/public-arena-asset/hyperbolic_logo.png" alt="Hyperbolic Logo" style="height: 50px; margin-right: 10px;"> |
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</div> |
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**Note:** This model is supported by Hyperbolic. Build your AI apps at [Hyperbolic](https://app.hyperbolic.xyz/). |
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""") |
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with gr.Tab("Qwen"): |
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demo_qwen.render() |
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with gr.Tab("Perplexity"): |
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demo_perplexity.render() |
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with gr.Tab("Mistral"): |
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demo_mistral.render() |
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with gr.Tab("Fireworks"): |
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demo_fireworks.render() |
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with gr.Tab("Together"): |
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demo_together.render() |
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with gr.Tab("NVIDIA"): |
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demo_nvidia.render() |
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with gr.Tab("Flux"): |
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demo_flux.render() |
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if __name__ == "__main__": |
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demo.queue(api_open=False).launch(ssr_mode=False, show_api=False) |
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