close openai connection when done

app.ipynb

@@ -874,6 +874,7 @@
     "        tokens += response.usage.total_tokens\n",
     "        # print(json.dumps(messages, indent=4))\n",
     "\n",
+    "    client.close()\n",
     "    print('TOKENS CLEANUP:', tokens)\n",
     "    result = ' '.join([o['content'] for o in messages if o['role'] == 'assistant'])\n",
     "    \n",
@@ -906,22 +907,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "id": "e4fb3159-579b-4271-bc96-4cd1e2816eca",
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "EventListener._setup.<locals>.event_trigger() got an unexpected keyword argument 'input'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[34], line 35\u001b[0m\n\u001b[1;32m     30\u001b[0m chunks_md \u001b[38;5;241m=\u001b[39m gr\u001b[38;5;241m.\u001b[39mMarkdown(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m'\u001b[39m,label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mChunks\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     33\u001b[0m \u001b[38;5;66;03m### Define UI Actions ###\u001b[39;00m\n\u001b[0;32m---> 35\u001b[0m \u001b[43mget_url_content_btn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mclick\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfn\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mget_page_text\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minput_url\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moutput\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minput_text\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     37\u001b[0m \u001b[38;5;66;03m# input_text \u001b[39;00m\n\u001b[1;32m     38\u001b[0m input_text\u001b[38;5;241m.\u001b[39minput(fn\u001b[38;5;241m=\u001b[39mget_input_text_len, inputs\u001b[38;5;241m=\u001b[39minput_text, outputs\u001b[38;5;241m=\u001b[39minput_text_length)\n",
-      "\u001b[0;31mTypeError\u001b[0m: EventListener._setup.<locals>.event_trigger() got an unexpected keyword argument 'input'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#| export\n",
     "with gr.Blocks(title='TTS', head='TTS', delete_cache=(3600,3600)) as app:\n",
@@ -993,7 +982,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 36,
    "id": "a00648a1-891b-470b-9959-f5d502055713",
    "metadata": {},
    "outputs": [],
@@ -1007,10 +996,47 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 37,
    "id": "4b534fe7-4337-423e-846a-1bdb7cccc4ea",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7860\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "TOKENS CLEANUP: 970\n"
+     ]
+    }
+   ],
    "source": [
     "#| hide\n",
     "#Notebook launch\n",
@@ -1034,7 +1060,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 38,
    "id": "28e8d888-e790-46fa-bbac-4511b9ab796c",
    "metadata": {},
    "outputs": [
@@ -1064,7 +1090,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 40,
    "id": "0420310d-930b-4904-8bd4-3458ad8bdbd3",
    "metadata": {},
    "outputs": [],

app.py

@@ -372,6 +372,7 @@ def clean_page_md(text):
         tokens += response.usage.total_tokens
         # print(json.dumps(messages, indent=4))
 
+    client.close()
     print('TOKENS CLEANUP:', tokens)
     result = ' '.join([o['content'] for o in messages if o['role'] == 'assistant'])