import gradio as gr import spaces from chatbot import model_inference, EXAMPLES, chatbot from voice_chat import respond # Define Gradio theme theme = gr.themes.Soft( primary_hue="sky", secondary_hue="violet", neutral_hue="gray", font=[gr.themes.GoogleFont('orbitron')] ) # Create Gradio blocks for different functionalities # Chat interface block with gr.Blocks( css=""".gradio-container .avatar-container {height: 40px width: 40px !important;} #duplicate-button {margin: auto; color: white; background: #f1a139; border-radius: 100vh; margin-top: 2px; margin-bottom: 2px;}""", ) as chat: gr.Markdown("### Image Chat, Image Generation, Image classification and Normal Chat") gr.ChatInterface( fn=model_inference, chatbot = chatbot, examples=EXAMPLES, multimodal=True, cache_examples=False, autofocus=False, concurrency_limit=10, ) # Voice chat block with gr.Blocks() as voice: gr.Markdown("# Try Voice Chatfrom Below Link:") gr.HTML("https://huggingface.co/spaces/KingNish/Voicee") with gr.Blocks() as image: gr.HTML("") with gr.Blocks() as instant2: gr.HTML("") with gr.Blocks() as video: gr.Markdown("""More Models are coming""") gr.TabbedInterface([ instant2], ['Instant🎥']) # Main application block with gr.Blocks(theme=theme, title="OpenGPT 4o DEMO") as demo: gr.Markdown("# OpenGPT 4o") gr.TabbedInterface([chat, voice, image, video], ['💬 SuperChat','🗣️ Voice Chat', '🖼️ Image Engine', '🎥 Video Engine']) demo.queue(max_size=300) demo.launch()