commit

app.py

@@ -2,7 +2,11 @@
 # Version 26.11 – ohne Modi, stabil für Text + Voice
 
 import gradio as gr
-from gradio_pdf import PDF
+try:
+    from gradio_pdf import PDF
+    _HAS_PDF = True
+except ImportError:
+    _HAS_PDF = False
 from huggingface_hub import hf_hub_download
 
 from load_documents import load_documents, DATASET, PDF_FILE, HTML_FILE
@@ -13,6 +17,8 @@ from llm import load_llm
 from rag_pipeline import answer, PDF_BASE_URL, LAW_URL
 
 from speech_io import transcribe_audio, synthesize_speech
+from fastapi import FastAPI
+import realtime_server as rt
 import sys
 sys.dont_write_bytecode = True
 
@@ -202,9 +208,9 @@ with gr.Blocks(title="Prüfungsrechts-Chatbot (RAG + Sprache)") as demo:
             )
 
             gr.Markdown("### ⚡ Voice (Realtime) – thử nghiệm")
-            gr.Markdown("Sử dụng OpenAI Realtime API cho hội thoại nói. Mở trang test bên dưới.")
+            gr.Markdown("Sử dụng OpenAI Realtime API cho hội thoại nói. Trang test chạy cùng máy chủ này.")
             gr.HTML("""
-            <iframe src="http://localhost:8000/" style="width:100%;height:300px;border:1px solid #ccc"></iframe>
+            <iframe src="/realtime/" style="width:100%;height:300px;border:1px solid #ccc"></iframe>
             """)
 
             clear_btn = gr.Button("Chat zurücksetzen")
@@ -216,12 +222,21 @@ with gr.Blocks(title="Prüfungsrechts-Chatbot (RAG + Sprache)") as demo:
 
         with gr.Column(scale=1):
             gr.Markdown("### 📄 Prüfungsordnung (PDF)")
-            PDF(_pdf_path, height=350)
+            if _HAS_PDF:
+                PDF(_pdf_path, height=350)
+            else:
+                gr.HTML(f'<iframe src="{PDF_BASE_URL}" style="width:100%;height:350px;border:none;"></iframe>')
 
             gr.Markdown("### 📘 Hochschulgesetz NRW (Website)")
             gr.HTML(
                 f'<iframe src="{LAW_URL}" style="width:100%;height:350px;border:none;"></iframe>'
             )
 
+# FastAPI app: mount Gradio + realtime server cùng một host
+app = FastAPI()
+app = gr.mount_gradio_app(app, demo, path="/")
+app.mount("/realtime", rt.app)
+
 if __name__ == "__main__":
-    demo.launch()
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)

realtime_server.py

@@ -42,7 +42,8 @@ html = """
 
         function ensureWS() {
             if (ws && ws.readyState === WebSocket.OPEN) return ws;
-            ws = new WebSocket((location.protocol === 'https:' ? 'wss://' : 'ws://') + location.host + '/ws');
+            const basePath = (location.pathname.endsWith('/') ? location.pathname.slice(0,-1) : location.pathname);
+            ws = new WebSocket((location.protocol === 'https:' ? 'wss://' : 'ws://') + location.host + basePath + '/ws');
             ws.onopen = () => {
                 document.getElementById('status').textContent = 'Status: WS connected';
             };

requirements.txt

@@ -16,7 +16,7 @@ langchain-openai
 huggingface-hub
 fastapi
 uvicorn
-websockets
+websockets>=12.0
 
 # === VectorStore ===
 faiss-cpu