Add complete Biblical Guide web application with Material UI

Implemented comprehensive Romanian Biblical Guide web app:
- Next.js 15 with App Router and TypeScript
- Material UI 7.3.2 for modern, responsive design
- PostgreSQL database with Prisma ORM
- Complete Bible reader with book/chapter navigation
- AI-powered biblical chat with Romanian responses
- Prayer wall for community prayer requests
- Advanced Bible search with filters and highlighting
- Sample Bible data imported from API.Bible
- All API endpoints created and working
- Professional Material UI components throughout
- Responsive layout with navigation and theme

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

lib/ai/azure-openai.ts

@@ -0,0 +1,59 @@
+import { AzureOpenAI } from 'openai'
+
+const client = new AzureOpenAI({
+  apiKey: process.env.AZURE_OPENAI_KEY!,
+  apiVersion: '2024-02-01',
+  endpoint: process.env.AZURE_OPENAI_ENDPOINT!,
+})
+
+export async function generateChatResponse(
+  messages: Array<{ role: string; content: string }>,
+  verseContext?: string
+) {
+  try {
+    const systemPrompt = `Ești un asistent pentru studiul Bibliei care răspunde în română. Întotdeauna oferă referințe din Scriptură pentru răspunsurile tale. Fii respectuos și oferă răspunsuri biblice fundamentate. ${verseContext ? `Context: ${verseContext}` : ''}`
+
+    const response = await client.chat.completions.create({
+      model: process.env.AZURE_OPENAI_DEPLOYMENT || 'gpt-4',
+      messages: [
+        { role: 'system', content: systemPrompt },
+        ...messages
+      ],
+      temperature: 0.7,
+      max_tokens: 1000
+    })
+
+    return response.choices[0].message.content
+  } catch (error) {
+    console.error('Azure OpenAI error:', error)
+    throw new Error('Eroare la generarea răspunsului AI')
+  }
+}
+
+export async function generateEmbedding(text: string): Promise<number[]> {
+  try {
+    if (!process.env.OLLAMA_API_URL) {
+      throw new Error('OLLAMA_API_URL not configured')
+    }
+
+    const response = await fetch(`${process.env.OLLAMA_API_URL}/api/embeddings`, {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({
+        model: 'nomic-embed-text',
+        prompt: text
+      })
+    })
+
+    if (!response.ok) {
+      throw new Error('Failed to generate embedding')
+    }
+
+    const data = await response.json()
+    return data.embedding
+  } catch (error) {
+    console.error('Embedding generation error:', error)
+    // Return empty array if embedding service is not available
+    return []
+  }
+}