import React, { useState, useRef, useEffect } from 'react'; import { Send, AlertCircle, Copy, Check, Download, Paperclip, Terminal, Plus, User, Shield, Search, Code, Mic } from 'lucide-react'; import type { Conversation, ModelInfo } from '../types'; interface ChatInterfaceProps { activeConversation: Conversation | null; sendMessage: (msg: string) => void; isLoading: boolean; error: string | null; modelInfo: ModelInfo | null; } // Markdown & Code Renderer block const MarkdownRenderer: React.FC<{ text: string }> = ({ text }) => { const [copiedId, setCopiedId] = useState(null); const handleCopy = (code: string, blockId: string) => { navigator.clipboard.writeText(code); setCopiedId(blockId); setTimeout(() => setCopiedId(null), 2000); }; const handleDownload = (code: string, filename: string) => { const blob = new Blob([code], { type: 'text/plain' }); const url = URL.createObjectURL(blob); const a = document.createElement('a'); a.href = url; a.download = filename; a.click(); URL.revokeObjectURL(url); }; if (!text) return null; const parts = text.split(/(```[\s\S]*?```)/g); return (
{parts.map((part, idx) => { if (part.startsWith('```')) { const lines = part.split('\n'); const firstLine = lines[0].replace('```', '').trim(); const language = firstLine || 'code'; const code = lines.slice(1, -1).join('\n'); const blockId = `${idx}-${language}`; const filename = `code-snippet.${language === 'python' ? 'py' : language === 'javascript' ? 'js' : language === 'typescript' ? 'ts' : 'txt'}`; const codeLines = code.split('\n'); return (
{/* Header Titlebar */}
{language}
{/* Editor area with line numbers */}
{codeLines.map((_, i) => (
{i + 1}
))}
                  {code}
                
); } else { const lines = part.split('\n'); return (
{lines.map((line, lIdx) => { const trimmed = line.trim(); if (trimmed.startsWith('* ') || trimmed.startsWith('- ')) { return (
  • {renderInlineStyles(trimmed.substring(2))}
); } if (trimmed.startsWith('#')) { const level = (trimmed.match(/^#+/) || [''])[0].length; const headerText = trimmed.replace(/^#+\s*/, ''); const headerClasses = level === 1 ? 'text-lg font-bold my-3 text-foreground tracking-tight border-b border-[#1d1b2e] pb-1.5' : level === 2 ? 'text-base font-bold my-2 text-foreground tracking-tight' : 'text-sm font-semibold my-2 text-foreground'; return
{renderInlineStyles(headerText)}
; } return line ?

{renderInlineStyles(line)}

:
; })}
); } })}
); }; const renderInlineStyles = (text: string) => { const parts = text.split(/(\*\*.*?\*\*|`.*?`)/g); return parts.map((part, idx) => { if (part.startsWith('**') && part.endsWith('**')) { return {part.slice(2, -2)}; } else if (part.startsWith('`') && part.endsWith('`')) { return {part.slice(1, -1)}; } return part; }); }; export const ChatInterface: React.FC = ({ activeConversation, sendMessage, isLoading, error, modelInfo, }) => { const [input, setInput] = useState(''); const [searchQuery, setSearchQuery] = useState(''); const messagesEndRef = useRef(null); const textareaRef = useRef(null); // Hardcoded mock categories matching the reference screen design const conversationsMock = { today: [ { id: '1', title: 'Explain asyncio.gather', active: true }, { id: '2', title: 'React useMemo vs useCallback' }, ], yesterday: [ { id: '3', title: 'SQL indexes best practices' }, { id: '4', title: 'Python list comprehension' }, ], last7days: [ { id: '5', title: 'Fix Memory Leak' }, { id: '6', title: 'JWT authentication flow' }, { id: '7', title: 'Docker multi-stage build' }, ] }; const scrollToBottom = () => { messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' }); }; useEffect(() => { scrollToBottom(); }, [activeConversation?.messages, isLoading]); useEffect(() => { if (textareaRef.current) { textareaRef.current.style.height = 'auto'; textareaRef.current.style.height = `${Math.min(120, textareaRef.current.scrollHeight)}px`; } }, [input]); const handleSend = () => { if (!input.trim() || isLoading) return; sendMessage(input); setInput(''); }; const handleKeyDown = (e: React.KeyboardEvent) => { if (e.key === 'Enter' && !e.shiftKey) { e.preventDefault(); handleSend(); } }; const modelName = modelInfo?.model_name.split('/').pop() || 'SmolLM2-360M-Instruct'; return (
{/* Split column 1: Conversation History List (320px width) */}
{/* New Chat trigger button */}
{/* Search bar */}
setSearchQuery(e.target.value)} placeholder="Search conversations..." className="w-full bg-[#131121] border border-[#1d1b2e] text-xs rounded-xl pl-9.5 pr-4 py-2 outline-none text-foreground placeholder:text-[#58556f] focus:border-primary/50 focus-ring" />
{/* Categories list */}
{/* Today */}

Today

{conversationsMock.today.map((item) => ( ))}
{/* Yesterday */}

Yesterday

{conversationsMock.yesterday.map((item) => ( ))}
{/* Last 7 days */}

Last 7 days

{conversationsMock.last7days.map((item) => ( ))}
{/* Split column 2: Main chat scope */}
{/* Chat Header title */}

{activeConversation?.title && activeConversation.messages.length > 0 ? activeConversation.title : 'Explain asyncio.gather'}

{new Date().toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' })}
{/* Messages Feed area */}
{!activeConversation || activeConversation.messages.length === 0 ? ( // Preload a clean reference conversation when empty to match screen 3
{/* User Bubble (Right) */}
Can you explain how asyncio.gather() works in Python?
10:30 AM
{/* AI Bubble (Left) */}

`asyncio.gather()` is a powerful function in Python's `asyncio` library that allows you to run multiple coroutines concurrently and wait for all of them to complete.

Here's how it works:

Key points:

  • It runs all coroutines concurrently.
  • Returns results in the same order as the input list.
  • If `return_exceptions=True`, exceptions are returned instead of raised.
10:30 AM
) : (
{activeConversation.messages.map((msg, idx) => { const isUser = msg.role === 'user'; return (
{isUser ? : }
{!msg.content && isLoading && !isUser && (
)}
); })}
)}
{/* Error notification */} {error && (
Error: {error}
)} {/* Input panel bottom container */}