{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mKeyboardInterrupt\u001b[39m                         Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 7\u001b[39m\n\u001b[32m      4\u001b[39m client = OpenAI()\n\u001b[32m      5\u001b[39m audio_file= \u001b[38;5;28mopen\u001b[39m(\u001b[33m\"\u001b[39m\u001b[33m./audio.wav\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mrb\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m----> \u001b[39m\u001b[32m7\u001b[39m transcription = \u001b[43mclient\u001b[49m\u001b[43m.\u001b[49m\u001b[43maudio\u001b[49m\u001b[43m.\u001b[49m\u001b[43mtranscriptions\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m      8\u001b[39m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mgpt-4o-transcribe\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[32m      9\u001b[39m \u001b[43m    \u001b[49m\u001b[43mfile\u001b[49m\u001b[43m=\u001b[49m\u001b[43maudio_file\u001b[49m\n\u001b[32m     10\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m     12\u001b[39m \u001b[38;5;28mprint\u001b[39m(transcription.text)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\openai\\_utils\\_utils.py:287\u001b[39m, in \u001b[36mrequired_args.<locals>.inner.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    285\u001b[39m             msg = \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mMissing required argument: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mquote(missing[\u001b[32m0\u001b[39m])\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m    286\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[32m--> \u001b[39m\u001b[32m287\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\openai\\resources\\audio\\transcriptions.py:333\u001b[39m, in \u001b[36mTranscriptions.create\u001b[39m\u001b[34m(self, file, model, chunking_strategy, include, language, prompt, response_format, stream, temperature, timestamp_granularities, extra_headers, extra_query, extra_body, timeout)\u001b[39m\n\u001b[32m    329\u001b[39m \u001b[38;5;66;03m# It should be noted that the actual Content-Type header that will be\u001b[39;00m\n\u001b[32m    330\u001b[39m \u001b[38;5;66;03m# sent to the server will contain a `boundary` parameter, e.g.\u001b[39;00m\n\u001b[32m    331\u001b[39m \u001b[38;5;66;03m# multipart/form-data; boundary=---abc--\u001b[39;00m\n\u001b[32m    332\u001b[39m extra_headers = {\u001b[33m\"\u001b[39m\u001b[33mContent-Type\u001b[39m\u001b[33m\"\u001b[39m: \u001b[33m\"\u001b[39m\u001b[33mmultipart/form-data\u001b[39m\u001b[33m\"\u001b[39m, **(extra_headers \u001b[38;5;129;01mor\u001b[39;00m {})}\n\u001b[32m--> \u001b[39m\u001b[32m333\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# type: ignore[return-value]\u001b[39;49;00m\n\u001b[32m    334\u001b[39m \u001b[43m    \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m/audio/transcriptions\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m    335\u001b[39m \u001b[43m    \u001b[49m\u001b[43mbody\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    336\u001b[39m \u001b[43m        \u001b[49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    337\u001b[39m \u001b[43m        \u001b[49m\u001b[43mtranscription_create_params\u001b[49m\u001b[43m.\u001b[49m\u001b[43mTranscriptionCreateParamsStreaming\u001b[49m\n\u001b[32m    338\u001b[39m \u001b[43m        \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\n\u001b[32m    339\u001b[39m \u001b[43m        \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mtranscription_create_params\u001b[49m\u001b[43m.\u001b[49m\u001b[43mTranscriptionCreateParamsNonStreaming\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    340\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    341\u001b[39m \u001b[43m    \u001b[49m\u001b[43mfiles\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfiles\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    342\u001b[39m \u001b[43m    \u001b[49m\u001b[43moptions\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmake_request_options\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    343\u001b[39m \u001b[43m        \u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_query\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_query\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_body\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\n\u001b[32m    344\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    345\u001b[39m \u001b[43m    \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_get_response_format_type\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresponse_format\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    346\u001b[39m \u001b[43m    \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    347\u001b[39m \u001b[43m    \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mStream\u001b[49m\u001b[43m[\u001b[49m\u001b[43mTranscriptionStreamEvent\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    348\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\openai\\_base_client.py:1242\u001b[39m, in \u001b[36mSyncAPIClient.post\u001b[39m\u001b[34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[39m\n\u001b[32m   1228\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mpost\u001b[39m(\n\u001b[32m   1229\u001b[39m     \u001b[38;5;28mself\u001b[39m,\n\u001b[32m   1230\u001b[39m     path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[32m   (...)\u001b[39m\u001b[32m   1237\u001b[39m     stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m   1238\u001b[39m ) -> ResponseT | _StreamT:\n\u001b[32m   1239\u001b[39m     opts = FinalRequestOptions.construct(\n\u001b[32m   1240\u001b[39m         method=\u001b[33m\"\u001b[39m\u001b[33mpost\u001b[39m\u001b[33m\"\u001b[39m, url=path, json_data=body, files=to_httpx_files(files), **options\n\u001b[32m   1241\u001b[39m     )\n\u001b[32m-> \u001b[39m\u001b[32m1242\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\openai\\_base_client.py:972\u001b[39m, in \u001b[36mSyncAPIClient.request\u001b[39m\u001b[34m(self, cast_to, options, stream, stream_cls)\u001b[39m\n\u001b[32m    970\u001b[39m response = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m    971\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m972\u001b[39m     response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_client\u001b[49m\u001b[43m.\u001b[49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    973\u001b[39m \u001b[43m        \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    974\u001b[39m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_should_stream_response_body\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    975\u001b[39m \u001b[43m        \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    976\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    977\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m httpx.TimeoutException \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[32m    978\u001b[39m     log.debug(\u001b[33m\"\u001b[39m\u001b[33mEncountered httpx.TimeoutException\u001b[39m\u001b[33m\"\u001b[39m, exc_info=\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpx\\_client.py:914\u001b[39m, in \u001b[36mClient.send\u001b[39m\u001b[34m(self, request, stream, auth, follow_redirects)\u001b[39m\n\u001b[32m    910\u001b[39m \u001b[38;5;28mself\u001b[39m._set_timeout(request)\n\u001b[32m    912\u001b[39m auth = \u001b[38;5;28mself\u001b[39m._build_request_auth(request, auth)\n\u001b[32m--> \u001b[39m\u001b[32m914\u001b[39m response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_send_handling_auth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    915\u001b[39m \u001b[43m    \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    916\u001b[39m \u001b[43m    \u001b[49m\u001b[43mauth\u001b[49m\u001b[43m=\u001b[49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    917\u001b[39m \u001b[43m    \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    918\u001b[39m \u001b[43m    \u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m=\u001b[49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    919\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    920\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m    921\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m stream:\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpx\\_client.py:942\u001b[39m, in \u001b[36mClient._send_handling_auth\u001b[39m\u001b[34m(self, request, auth, follow_redirects, history)\u001b[39m\n\u001b[32m    939\u001b[39m request = \u001b[38;5;28mnext\u001b[39m(auth_flow)\n\u001b[32m    941\u001b[39m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m942\u001b[39m     response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_send_handling_redirects\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    943\u001b[39m \u001b[43m        \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    944\u001b[39m \u001b[43m        \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    945\u001b[39m \u001b[43m        \u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m=\u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    946\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    947\u001b[39m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m    948\u001b[39m         \u001b[38;5;28;01mtry\u001b[39;00m:\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpx\\_client.py:979\u001b[39m, in \u001b[36mClient._send_handling_redirects\u001b[39m\u001b[34m(self, request, follow_redirects, history)\u001b[39m\n\u001b[32m    976\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m hook \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m._event_hooks[\u001b[33m\"\u001b[39m\u001b[33mrequest\u001b[39m\u001b[33m\"\u001b[39m]:\n\u001b[32m    977\u001b[39m     hook(request)\n\u001b[32m--> \u001b[39m\u001b[32m979\u001b[39m response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_send_single_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    980\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m    981\u001b[39m     \u001b[38;5;28;01mfor\u001b[39;00m hook \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m._event_hooks[\u001b[33m\"\u001b[39m\u001b[33mresponse\u001b[39m\u001b[33m\"\u001b[39m]:\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpx\\_client.py:1014\u001b[39m, in \u001b[36mClient._send_single_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m   1009\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[32m   1010\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mAttempted to send an async request with a sync Client instance.\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m   1011\u001b[39m     )\n\u001b[32m   1013\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m request_context(request=request):\n\u001b[32m-> \u001b[39m\u001b[32m1014\u001b[39m     response = \u001b[43mtransport\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m   1016\u001b[39m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response.stream, SyncByteStream)\n\u001b[32m   1018\u001b[39m response.request = request\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpx\\_transports\\default.py:250\u001b[39m, in \u001b[36mHTTPTransport.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    237\u001b[39m req = httpcore.Request(\n\u001b[32m    238\u001b[39m     method=request.method,\n\u001b[32m    239\u001b[39m     url=httpcore.URL(\n\u001b[32m   (...)\u001b[39m\u001b[32m    247\u001b[39m     extensions=request.extensions,\n\u001b[32m    248\u001b[39m )\n\u001b[32m    249\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m map_httpcore_exceptions():\n\u001b[32m--> \u001b[39m\u001b[32m250\u001b[39m     resp = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_pool\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreq\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    252\u001b[39m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(resp.stream, typing.Iterable)\n\u001b[32m    254\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m Response(\n\u001b[32m    255\u001b[39m     status_code=resp.status,\n\u001b[32m    256\u001b[39m     headers=resp.headers,\n\u001b[32m    257\u001b[39m     stream=ResponseStream(resp.stream),\n\u001b[32m    258\u001b[39m     extensions=resp.extensions,\n\u001b[32m    259\u001b[39m )\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection_pool.py:256\u001b[39m, in \u001b[36mConnectionPool.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    253\u001b[39m         closing = \u001b[38;5;28mself\u001b[39m._assign_requests_to_connections()\n\u001b[32m    255\u001b[39m     \u001b[38;5;28mself\u001b[39m._close_connections(closing)\n\u001b[32m--> \u001b[39m\u001b[32m256\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m exc \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m    258\u001b[39m \u001b[38;5;66;03m# Return the response. Note that in this case we still have to manage\u001b[39;00m\n\u001b[32m    259\u001b[39m \u001b[38;5;66;03m# the point at which the response is closed.\u001b[39;00m\n\u001b[32m    260\u001b[39m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response.stream, typing.Iterable)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection_pool.py:236\u001b[39m, in \u001b[36mConnectionPool.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    232\u001b[39m connection = pool_request.wait_for_connection(timeout=timeout)\n\u001b[32m    234\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m    235\u001b[39m     \u001b[38;5;66;03m# Send the request on the assigned connection.\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m236\u001b[39m     response = \u001b[43mconnection\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    237\u001b[39m \u001b[43m        \u001b[49m\u001b[43mpool_request\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrequest\u001b[49m\n\u001b[32m    238\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    239\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ConnectionNotAvailable:\n\u001b[32m    240\u001b[39m     \u001b[38;5;66;03m# In some cases a connection may initially be available to\u001b[39;00m\n\u001b[32m    241\u001b[39m     \u001b[38;5;66;03m# handle a request, but then become unavailable.\u001b[39;00m\n\u001b[32m    242\u001b[39m     \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[32m    243\u001b[39m     \u001b[38;5;66;03m# In this case we clear the connection and try again.\u001b[39;00m\n\u001b[32m    244\u001b[39m     pool_request.clear_connection()\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection.py:103\u001b[39m, in \u001b[36mHTTPConnection.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    100\u001b[39m     \u001b[38;5;28mself\u001b[39m._connect_failed = \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[32m    101\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m exc\n\u001b[32m--> \u001b[39m\u001b[32m103\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_connection\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpcore\\_sync\\http11.py:136\u001b[39m, in \u001b[36mHTTP11Connection.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    134\u001b[39m     \u001b[38;5;28;01mwith\u001b[39;00m Trace(\u001b[33m\"\u001b[39m\u001b[33mresponse_closed\u001b[39m\u001b[33m\"\u001b[39m, logger, request) \u001b[38;5;28;01mas\u001b[39;00m trace:\n\u001b[32m    135\u001b[39m         \u001b[38;5;28mself\u001b[39m._response_closed()\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m exc\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpcore\\_sync\\http11.py:106\u001b[39m, in \u001b[36mHTTP11Connection.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m     95\u001b[39m     \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[32m     97\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m Trace(\n\u001b[32m     98\u001b[39m     \u001b[33m\"\u001b[39m\u001b[33mreceive_response_headers\u001b[39m\u001b[33m\"\u001b[39m, logger, request, kwargs\n\u001b[32m     99\u001b[39m ) \u001b[38;5;28;01mas\u001b[39;00m trace:\n\u001b[32m    100\u001b[39m     (\n\u001b[32m    101\u001b[39m         http_version,\n\u001b[32m    102\u001b[39m         status,\n\u001b[32m    103\u001b[39m         reason_phrase,\n\u001b[32m    104\u001b[39m         headers,\n\u001b[32m    105\u001b[39m         trailing_data,\n\u001b[32m--> \u001b[39m\u001b[32m106\u001b[39m     ) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_receive_response_headers\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    107\u001b[39m     trace.return_value = (\n\u001b[32m    108\u001b[39m         http_version,\n\u001b[32m    109\u001b[39m         status,\n\u001b[32m    110\u001b[39m         reason_phrase,\n\u001b[32m    111\u001b[39m         headers,\n\u001b[32m    112\u001b[39m     )\n\u001b[32m    114\u001b[39m network_stream = \u001b[38;5;28mself\u001b[39m._network_stream\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpcore\\_sync\\http11.py:177\u001b[39m, in \u001b[36mHTTP11Connection._receive_response_headers\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    174\u001b[39m timeout = timeouts.get(\u001b[33m\"\u001b[39m\u001b[33mread\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[32m    176\u001b[39m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m177\u001b[39m     event = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_receive_event\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    178\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(event, h11.Response):\n\u001b[32m    179\u001b[39m         \u001b[38;5;28;01mbreak\u001b[39;00m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpcore\\_sync\\http11.py:217\u001b[39m, in \u001b[36mHTTP11Connection._receive_event\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m    214\u001b[39m     event = \u001b[38;5;28mself\u001b[39m._h11_state.next_event()\n\u001b[32m    216\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m event \u001b[38;5;129;01mis\u001b[39;00m h11.NEED_DATA:\n\u001b[32m--> \u001b[39m\u001b[32m217\u001b[39m     data = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_network_stream\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    218\u001b[39m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mREAD_NUM_BYTES\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\n\u001b[32m    219\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    221\u001b[39m     \u001b[38;5;66;03m# If we feed this case through h11 we'll raise an exception like:\u001b[39;00m\n\u001b[32m    222\u001b[39m     \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[32m    223\u001b[39m     \u001b[38;5;66;03m#     httpcore.RemoteProtocolError: can't handle event type\u001b[39;00m\n\u001b[32m   (...)\u001b[39m\u001b[32m    227\u001b[39m     \u001b[38;5;66;03m# perspective. Instead we handle this case distinctly and treat\u001b[39;00m\n\u001b[32m    228\u001b[39m     \u001b[38;5;66;03m# it as a ConnectError.\u001b[39;00m\n\u001b[32m    229\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m data == \u001b[33mb\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m._h11_state.their_state == h11.SEND_RESPONSE:\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\LLM\\AccentDetector\\.venv\\Lib\\site-packages\\httpcore\\_backends\\sync.py:128\u001b[39m, in \u001b[36mSyncStream.read\u001b[39m\u001b[34m(self, max_bytes, timeout)\u001b[39m\n\u001b[32m    126\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m map_exceptions(exc_map):\n\u001b[32m    127\u001b[39m     \u001b[38;5;28mself\u001b[39m._sock.settimeout(timeout)\n\u001b[32m--> \u001b[39m\u001b[32m128\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_sock\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrecv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmax_bytes\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mC:\\Python312\\Lib\\ssl.py:1232\u001b[39m, in \u001b[36mSSLSocket.recv\u001b[39m\u001b[34m(self, buflen, flags)\u001b[39m\n\u001b[32m   1228\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m flags != \u001b[32m0\u001b[39m:\n\u001b[32m   1229\u001b[39m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m   1230\u001b[39m             \u001b[33m\"\u001b[39m\u001b[33mnon-zero flags not allowed in calls to recv() on \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[33m\"\u001b[39m %\n\u001b[32m   1231\u001b[39m             \u001b[38;5;28mself\u001b[39m.\u001b[34m__class__\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m1232\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbuflen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m   1233\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m   1234\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m().recv(buflen, flags)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mC:\\Python312\\Lib\\ssl.py:1105\u001b[39m, in \u001b[36mSSLSocket.read\u001b[39m\u001b[34m(self, len, buffer)\u001b[39m\n\u001b[32m   1103\u001b[39m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m._sslobj.read(\u001b[38;5;28mlen\u001b[39m, buffer)\n\u001b[32m   1104\u001b[39m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1105\u001b[39m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_sslobj\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m   1106\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m SSLError \u001b[38;5;28;01mas\u001b[39;00m x:\n\u001b[32m   1107\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m x.args[\u001b[32m0\u001b[39m] == SSL_ERROR_EOF \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m.suppress_ragged_eofs:\n",
      "\u001b[31mKeyboardInterrupt\u001b[39m: "
     ]
    }
   ],
   "source": [
    "from openai import OpenAI\n",
    "from dotenv import load_dotenv\n",
    "load_dotenv(override=True)\n",
    "client = OpenAI()\n",
    "audio_file= open(\"./audio.wav\", \"rb\")\n",
    "\n",
    "transcription = client.audio.transcriptions.create(\n",
    "    model=\"gpt-4o-transcribe\", \n",
    "    file=audio_file\n",
    ")\n",
    "\n",
    "print(transcription.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "system='''You are an intelligent assistant working for a company that builds advanced tools to automate real hiring decisions. Your task is to analyze speech-to-text transcripts from candidate interviews. For each candidate’s response, you will:\n",
    "\n",
    "Provide a clear and concise summary of what the candidate said.\n",
    "\n",
    "Identify the candidate’s motivation and key skills expressed in their speech.\n",
    "\n",
    "Highlight any additional insights or relevant observations that could assist recruiters in making informed hiring decisions.\n",
    "\n",
    "Focus on delivering objective, actionable, and relevant information that captures the candidate’s potential skills'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def summarize_audio(file_path):\n",
    "    audio_file=open(\"./audio.wav\", \"rb\")\n",
    "    transcription = client.audio.transcriptions.create(\n",
    "    model=\"gpt-4o-transcribe\", \n",
    "    file=audio_file\n",
    ")   \n",
    "    user_prompt=\"Here is transcription of the audio \\n \"\n",
    "    user_prompt+=transcription.text\n",
    "    prompts = [\n",
    "    {\"role\": \"system\", \"content\": system},\n",
    "    {\"role\": \"user\", \"content\": user_prompt}\n",
    "  ]\n",
    "    chat=client.chat.completions.create(\n",
    "        model='gpt-4.1-mini',\n",
    "        messages=prompts\n",
    "\n",
    "    )\n",
    "    return chat.choices[0].message.content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "result=summarize_audio(\"./audio.wav\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Summary:\\nThe candidate emphasized that anyone can perform a random act of kindness regardless of their wealth, appearance, popularity, or status.\\n\\nMotivation and Key Skills:\\n- Motivation: The candidate appears motivated by kindness and inclusivity, valuing acts of goodwill accessible to all people.\\n- Key Skills: Empathy, social awareness, and a positive attitude towards helping others.\\n\\nAdditional Insights:\\nThis response reflects an individual who values compassion and believes in simple, meaningful actions. Such a mindset can contribute to a positive workplace culture and teamwork. The candidate may bring interpersonal skills and an inclusive approach to collaboration.'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Python312\\Lib\\asyncio\\events.py:88: DeprecationError: 2025-01-27: `modal.Cls.lookup` is deprecated and will be removed in a future release. It can be replaced with `modal.Cls.from_name`.\n",
      "\n",
      "See https://modal.com/docs/guide/modal-1-0-migration for more information.\n",
      "  self._context.run(self._callback, *self._args)\n"
     ]
    }
   ],
   "source": [
    "from Summarizer_Agent import Summarizer\n",
    "summarizer=Summarizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\LLM\\AccentDetector\\Summarizer_Agent.py:38: DeprecationError: 2025-01-13: Calling a method on an uninstantiated class will soon be deprecated; update your code to instantiate the class first, i.e.:\n",
      "Accentizer().classify instead of Accentizer.classify\n",
      "  result= self.Accentizer.classify.remote(url)\n"
     ]
    }
   ],
   "source": [
    "classification_result=summarizer.classify(\"https://huggingface.co/Jzuluaga/accent-id-commonaccent_xlsr-en-english/resolve/main/data/malaysia_1.wav\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'label': ['malaysia'],\n",
       " 'score': tensor([1.0000]),\n",
       " 'index': tensor([11]),\n",
       " 'out_prob': tensor([[1.1861e-06, 1.2055e-10, 5.3473e-11, 5.4380e-13, 2.0032e-15, 4.4907e-07,\n",
       "          6.3841e-15, 4.1446e-15, 6.7382e-18, 1.5646e-16, 2.8600e-14, 1.0000e+00,\n",
       "          9.1365e-11, 1.0672e-14, 2.5264e-11, 2.2511e-09]])}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classification_result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "flags = {\n",
    "    \"us\": \"🇺🇸\",\n",
    "    \"england\": \"🏴\",         # Flag of England (subdivision of UK)\n",
    "    \"australia\": \"🇦🇺\",\n",
    "    \"indian\": \"🇮🇳\",          # Assuming you meant India\n",
    "    \"canada\": \"🇨🇦\",\n",
    "    \"bermuda\": \"🇧🇲\",\n",
    "    \"scotland\": \"🏴\",        # Flag of Scotland (subdivision of UK)\n",
    "    \"african\": \"🌍\",         # No single African flag – using globe showing Africa\n",
    "    \"ireland\": \"🇮🇪\",\n",
    "    \"newzealand\": \"🇳🇿\",\n",
    "    \"wales\": \"🏴\",           # Flag of Wales (subdivision of UK)\n",
    "    \"malaysia\": \"🇲🇾\",\n",
    "    \"philippines\": \"🇵🇭\",\n",
    "    \"singapore\": \"🇸🇬\",\n",
    "    \"hongkong\": \"🇭🇰\",\n",
    "    \"southatlandtic\": \"🌊\"   # Not a country – using water wave\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "import gradio as gr\n",
    "\n",
    "def process_youtube(url):\n",
    "    try:\n",
    "        summary = summarizer.summarize(url)\n",
    "        accent_info = summarizer.classify(url)\n",
    "        \n",
    "        accent = accent_info[\"label\"]\n",
    "        flag = flags.get(accent.lower(), \"🏳️\")  # fallback to white flag if not found\n",
    "        accent_display = f\"{flag} {accent.capitalize()}\"\n",
    "        \n",
    "        return summary, accent_display, accent_info[\"score\"]\n",
    "    except Exception as e:\n",
    "        return f\"Error: {e}\", \"N/A\", \"N/A\"\n",
    "\n",
    "demo = gr.Interface(\n",
    "    fn=process_youtube,\n",
    "    inputs=gr.Textbox(label=\"public video  URL\", placeholder=\"Enter public video link here...\"),\n",
    "    outputs=[\n",
    "        gr.Textbox(label=\"Candidate Summary\", lines=10),\n",
    "        gr.Textbox(label=\"Detected Accent\"),\n",
    "        gr.Slider(label=\"Confidence Score (%)\", minimum=0, maximum=1, step=0.001, interactive=False)\n",
    "\n",
    "    ],\n",
    "    title=\"Interview Audio Summarizer\",\n",
    "    description=\"Paste an interview video link. The app will summarize the candidate's response and detect the speaker's accent.\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* Running on local URL:  http://127.0.0.1:7864\n",
      "* To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><iframe src=\"http://127.0.0.1:7864/\" 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": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[generic] Extracting URL: https://huggingface.co/Jzuluaga/accent-id-commonaccent_xlsr-en-english/resolve/main/data/malaysia_1.wav\n",
      "[generic] malaysia_1: Downloading webpage\n",
      "[info] malaysia_1: Downloading 1 format(s): wave\n",
      "[download] Destination: audio\n",
      "[download] 100% of  228.79KiB in 00:00:00 at 639.15KiB/s   \n",
      "[ExtractAudio] Destination: audio.mp3\n",
      "Deleting original file audio (pass -k to keep)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\LLM\\AccentDetector\\Summarizer_Agent.py:38: DeprecationError: 2025-01-13: Calling a method on an uninstantiated class will soon be deprecated; update your code to instantiate the class first, i.e.:\n",
      "Accentizer().classify instead of Accentizer.classify\n",
      "  raw= self.Accentizer.classify.remote(url)\n"
     ]
    }
   ],
   "source": [
    "demo.launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "^C\n"
     ]
    }
   ],
   "source": [
    "!gradio deploy"
   ]
  }
 ],
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