import gradio as gr from app_meta import demo as demo_meta from app_lumaai import demo as demo_lumaai from app_paligemma import demo as demo_paligemma from app_replicate import demo as demo_replicate from app_huggingface import demo as demo_huggingface from app_playai import demo as demo_playai from app_allenai import demo as demo_allenai from app_claude import demo as demo_claude from app_experimental import demo as demo_experimental from app_fireworks import demo as demo_fireworks from app_gemini import demo as demo_gemini from app_groq import demo as demo_groq from app_hyperbolic import demo as demo_hyperbolic from app_fal import demo as demo_fal from app_marco_o1 import demo as demo_marco_o1 from app_mistral import demo as demo_mistral from app_nvidia import demo as demo_nvidia from app_openai import demo as demo_openai from app_perplexity import demo as demo_perplexity from app_qwen import demo as demo_qwen from app_sailor import demo as demo_sailor from app_sambanova import demo as demo_sambanova from app_together import demo as demo_together from app_xai import demo as demo_grok from app_showui import demo as demo_showui from app_omini import demo as demo_omini with gr.Blocks(fill_height=True) as demo: with gr.Tab("Grok"): demo_grok.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Gemini"): demo_gemini.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("SambaNova (New Meta-Llama-3.3-70B-Instruct)"): demo_sambanova.render() gr.Markdown( """ **Note:** You need to use a SambaNova API key from [SambaNova Cloud](https://cloud.sambanova.ai/). This app is built with gradio, check out gradio github and star: Gradio . """ ) with gr.Tab("Hyperbolic (New Meta Llama 3.3 70B)"): demo_hyperbolic.render() gr.Markdown( """
Hyperbolic Logo
**Note:** This model is supported by Hyperbolic. Build your AI apps at [Hyperbolic](https://app.hyperbolic.xyz/). This app is built with gradio, check out gradio github and star: Gradio . """ ) with gr.Tab("OminiControl"): demo_omini.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Fireworks (New Meta Llama 3.3 70B)"): demo_fireworks.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Together (New Meta Llama 3.3 70B)"): demo_together.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Groq (New Meta Llama 3.3 70B)"): demo_groq.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Hugging Face (New Meta Llama 3.3 70B)"): demo_meta.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("LumaAI"): demo_lumaai.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio.") with gr.Tab("Paligemma 2"): gr.Markdown("paligemma2-10b-ft-docci-448 is a fine-tuned version of Paligemma 2 on the DOCCI dataset, which can accomplish a wide range of captioning tasks, including text rendering, capturing spatial relations, and including world knowledge in captions.") demo_paligemma.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Qwen"): demo_qwen.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Replicate"): demo_replicate.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Sailor"): demo_sailor.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Huggingface"): demo_huggingface.render() with gr.Tab("Fal"): demo_fal.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("ShowUI"): demo_showui.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("PlayAI"): demo_playai.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("ChatGPT"): demo_openai.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Claude"): demo_claude.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Allen AI"): demo_allenai.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Perplexity"): demo_perplexity.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Experimental"): demo_experimental.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Marco-o1"): demo_marco_o1.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("Mistral"): demo_mistral.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") with gr.Tab("NVIDIA"): demo_nvidia.render() gr.Markdown("This app is built with gradio, check out gradio github and star: Gradio .") if __name__ == "__main__": demo.queue(api_open=False).launch(show_api=False)