import gradio as gr import spaces from chatbot import model_inference, EXAMPLES, chatbot from voice_chat import respond # Define custom CSS for better styling custom_css = """ .gradio-container { font-family: 'Roboto', sans-serif; } .main-header { text-align: center; color: #4a4a4a; margin-bottom: 2rem; } .tab-header { font-size: 1.2rem; font-weight: bold; margin-bottom: 1rem; } .custom-chatbot { border-radius: 10px; box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); } .custom-button { background-color: #3498db; color: white; border: none; padding: 10px 20px; border-radius: 5px; cursor: pointer; transition: background-color 0.3s ease; } .custom-button:hover { background-color: #2980b9; } """ # Define Gradio theme theme = gr.themes.Soft( primary_hue="indigo", secondary_hue="blue", neutral_hue="slate", font=[gr.themes.GoogleFont('Roboto'), "sans-serif"] ) # Chat interface block with gr.Blocks(css=custom_css) as chat: gr.Markdown("### 💬 OpenGPT 4o Chat", elem_classes="tab-header") 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("### 🗣️ Voice Chat", elem_classes="tab-header") gr.Markdown("Try Voice Chat from the link below:") gr.HTML('Open Voice Chat') with gr.Blocks() as image_gen_pro: gr.HTML("") with gr.Blocks() as flux_fast: gr.HTML("") # Image engine block with gr.Blocks() as image: gr.Markdown("### 🖼️ Image Engine", elem_classes="tab-header") gr.TabbedInterface([flux_fast, image_gen_pro], ['High Quality Image Gen'],['Image gen and editing']) # Video engine block with gr.Blocks() as video: gr.Markdown("### 🎥 Video Engine", elem_classes="tab-header") gr.HTML("") # Main application block with gr.Blocks(theme=theme, title="OpenGPT 4o DEMO") as demo: gr.Markdown("# 🚀 OpenGPT 4o", elem_classes="main-header") gr.TabbedInterface( [chat, voice, image, video], ['💬 SuperChat', '🗣️ Voice Chat', '🖼️ Image Engine', '🎥 Video Engine'] ) demo.queue(max_size=300) demo.launch()