import gradio as gr import httpx CSS = """ :root { --primary: #C8102E; --bg: #0a0a0f; --surface: #12121a; --text: #f0f0f4; --accent: #ff6b6b; } * { box-sizing: border-box; } body { background: var(--bg); color: var(--text); font-family: 'Inter', system-ui, sans-serif; } .gradio-container { max-width: 1000px !important; margin: 0 auto; } """ def query_api(endpoint: str, payload: dict = None): """Query the Raven AI API.""" return {"status": "simulated", "message": f"Raven AI would process: {payload}"} def chat_response(message, history): """Simulated chat response from Raven AI.""" responses = { "hello": "Hello! I'm Raven AI. How can I help you today?", "help": "I can help with code generation, data analysis, document processing, and more.", "who are you": "I'm Raven AI — your intelligence layer for sovereign, local-first AI orchestration.", } msg_lower = message.lower().strip() for key, resp in responses.items(): if key in msg_lower: return resp return f"**Raven AI** processing: _{message}_\n\nThis is a simulated response. Connect your own AI backend for full functionality." def analyze_code(code: str): """Simulated code analysis.""" return { "lines": len(code.split("\n")), "chars": len(code), "has_syntax_errors": False, "suggestions": [ "Consider adding type hints for better documentation.", "Add docstrings to public functions.", ], } with gr.Blocks(css=CSS, title="Raven AI", theme=gr.themes.Soft( primary_hue="red", neutral_hue="slate", )) as demo: gr.HTML("""
Your Intelligence Layer
This is a demo Space. Connect your own Raven AI instance for full functionality.
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Raven AI — Sovereign Intelligence Layer | GitHub