Deploy RAG QA demo to Generative_AI_2 Space

Try_2.ipynb

@@ -315,7 +315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "a1476c3a",
    "metadata": {},
    "outputs": [],
@@ -334,41 +334,42 @@
     "    # 4) Return the full message list\n",
     "    return history\n",
     "\n",
-    "# Launch with the new format\n",
-    "gr.ChatInterface(\n",
-    "    fn=chat_fn,\n",
-    "    type=\"messages\",            # ← switch to messages!\n",
-    "    title=\"🔍 RAG QA Demo\",\n",
-    "    description=\"I only answer from retrieved contexts; otherwise I'll say 'Sorry, I don't know.'\"\n",
-    ").launch(share=True)            # ← add share=True if you want a public link\n"
+    "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "id": "78314cbb",
+   "execution_count": null,
+   "id": "58d445a5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "fc557ef9",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\victo\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\gradio\\chat_interface.py:338: UserWarning: The 'tuples' format for chatbot messages is deprecated and will be removed in a future version of Gradio. Please set type='messages' instead, which uses openai-style 'role' and 'content' keys.\n",
-      "  self.chatbot = Chatbot(\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "* Running on local URL:  http://127.0.0.1:7861\n",
-      "* To create a public link, set `share=True` in `launch()`.\n"
+      "* Running on local URL:  http://127.0.0.1:7865\n",
+      "\n",
+      "Could not create share link. Missing file: C:\\Users\\victo\\.cache\\huggingface\\gradio\\frpc\\frpc_windows_amd64_v0.3. \n",
+      "\n",
+      "Please check your internet connection. This can happen if your antivirus software blocks the download of this file. You can install manually by following these steps: \n",
+      "\n",
+      "1. Download this file: https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_windows_amd64.exe\n",
+      "2. Rename the downloaded file to: frpc_windows_amd64_v0.3\n",
+      "3. Move the file to this location: C:\\Users\\victo\\.cache\\huggingface\\gradio\\frpc\n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+       "<div><iframe src=\"http://127.0.0.1:7865/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -381,67 +382,25 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 9,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Traceback (most recent call last):\n",
-      "  File \"c:\\Users\\victo\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\gradio\\queueing.py\", line 625, in process_events\n",
-      "    response = await route_utils.call_process_api(\n",
-      "               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "    ...<5 lines>...\n",
-      "    )\n",
-      "    ^\n",
-      "  File \"c:\\Users\\victo\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\gradio\\route_utils.py\", line 322, in call_process_api\n",
-      "    output = await app.get_blocks().process_api(\n",
-      "             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "    ...<11 lines>...\n",
-      "    )\n",
-      "    ^\n",
-      "  File \"c:\\Users\\victo\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\gradio\\blocks.py\", line 2146, in process_api\n",
-      "    result = await self.call_function(\n",
-      "             ^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "    ...<8 lines>...\n",
-      "    )\n",
-      "    ^\n",
-      "  File \"c:\\Users\\victo\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\gradio\\blocks.py\", line 1662, in call_function\n",
-      "    prediction = await fn(*processed_input)\n",
-      "                 ^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"c:\\Users\\victo\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\gradio\\utils.py\", line 851, in async_wrapper\n",
-      "    response = await f(*args, **kwargs)\n",
-      "               ^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"c:\\Users\\victo\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\gradio\\chat_interface.py\", line 884, in _submit_fn\n",
-      "    history = self._append_message_to_history(response, history, \"assistant\")\n",
-      "  File \"c:\\Users\\victo\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\gradio\\chat_interface.py\", line 815, in _append_message_to_history\n",
-      "    message_dicts = self._message_as_message_dict(message, role)\n",
-      "  File \"c:\\Users\\victo\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\gradio\\chat_interface.py\", line 853, in _message_as_message_dict\n",
-      "    for x in msg.get(\"files\", []):\n",
-      "             ^^^^^^^\n",
-      "AttributeError: 'tuple' object has no attribute 'get'\n"
-     ]
     }
    ],
    "source": [
-    "import gradio as gr\n",
-    "\n",
+    "# Launch with the new format\n",
     "gr.ChatInterface(\n",
     "    fn=chat_fn,\n",
+    "    type=\"messages\",            # ← switch to messages!\n",
     "    title=\"🔍 RAG QA Demo\",\n",
-    "    description=(\n",
-    "        \"Ask a question—I'll only answer if the info is in the retrieved contexts; \"\n",
-    "        \"otherwise, I'll say “Sorry, I don't know.”\"\n",
-    "    )\n",
-    ").launch()\n"
+    "    description=\"I only answer from retrieved contexts; otherwise I'll say 'Sorry, I don't know.'\"\n",
+    ").launch(share=True)            # ← add share=True if you want a public link"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "fc557ef9",
+   "id": "7ec42db4",
    "metadata": {},
    "outputs": [],
    "source": []