diff --git "a/Voice2VoiceTranslation.ipynb" "b/Voice2VoiceTranslation.ipynb"
--- "a/Voice2VoiceTranslation.ipynb"
+++ "b/Voice2VoiceTranslation.ipynb"
@@ -3,8 +3,8 @@
{
"cell_type": "markdown",
"metadata": {
- "colab_type": "text",
- "id": "view-in-github"
+ "id": "view-in-github",
+ "colab_type": "text"
},
"source": [
"![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\")
"
@@ -12,20 +12,20 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 7,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "8locV9sOyhkn",
- "outputId": "23b45964-93da-47fe-f12f-04f9a857e205"
+ "outputId": "4842cac9-3a7f-4fc5-edeb-3ca5452fec53"
},
"outputs": [
{
- "name": "stdout",
"output_type": "stream",
+ "name": "stdout",
"text": [
- "Thu Jun 12 10:52:12 2025 \n",
+ "Fri Jun 13 10:31:53 2025 \n",
"+-----------------------------------------------------------------------------------------+\n",
"| NVIDIA-SMI 550.54.15 Driver Version: 550.54.15 CUDA Version: 12.4 |\n",
"|-----------------------------------------+------------------------+----------------------+\n",
@@ -34,7 +34,7 @@
"| | | MIG M. |\n",
"|=========================================+========================+======================|\n",
"| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
- "| N/A 39C P8 9W / 70W | 0MiB / 15360MiB | 0% Default |\n",
+ "| N/A 49C P8 9W / 70W | 0MiB / 15360MiB | 0% Default |\n",
"| | | N/A |\n",
"+-----------------------------------------+------------------------+----------------------+\n",
" \n",
@@ -54,27 +54,27 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 8,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "NnO-D2woRdMR",
- "outputId": "16075dc5-7586-45e5-d6a9-0bd0a5c8b70a"
+ "outputId": "d6ca31d7-269e-4995-991d-7b515d9e6154"
},
"outputs": [
{
- "name": "stdout",
"output_type": "stream",
+ "name": "stdout",
"text": [
"Cloning into 'Voice2VoiceTranslate'...\n",
- "remote: Enumerating objects: 44, done.\u001b[K\n",
- "remote: Counting objects: 100% (44/44), done.\u001b[K\n",
- "remote: Compressing objects: 100% (42/42), done.\u001b[K\n",
- "remote: Total 44 (delta 18), reused 7 (delta 1), pack-reused 0 (from 0)\u001b[K\n",
- "Receiving objects: 100% (44/44), 5.50 MiB | 17.50 MiB/s, done.\n",
- "Resolving deltas: 100% (18/18), done.\n",
- "/content/Voice2VoiceTranslate\n"
+ "remote: Enumerating objects: 88, done.\u001b[K\n",
+ "remote: Counting objects: 100% (88/88), done.\u001b[K\n",
+ "remote: Compressing objects: 100% (74/74), done.\u001b[K\n",
+ "remote: Total 88 (delta 39), reused 39 (delta 12), pack-reused 0 (from 0)\u001b[K\n",
+ "Receiving objects: 100% (88/88), 7.91 MiB | 11.15 MiB/s, done.\n",
+ "Resolving deltas: 100% (39/39), done.\n",
+ "/content/Voice2VoiceTranslate/Voice2VoiceTranslate/Voice2VoiceTranslate\n"
]
}
],
@@ -94,23 +94,38 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 9,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"collapsed": true,
"id": "poBUySdreSA9",
- "outputId": "323ac8fa-2e91-4b81-8a79-a17dda19d1c8"
+ "outputId": "575cfee3-ff94-4880-b5c3-6f3df8caa0e6"
},
- "outputs": [],
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
+ " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+ " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
+ " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
+ ]
+ }
+ ],
"source": [
"!pip install --quiet -r requirements.txt"
]
},
{
"cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "id": "BieMqbzN2GnY"
+ },
"source": [
"# Using each function separately"
]
@@ -152,7 +167,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@@ -176,7 +191,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@@ -254,7 +269,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@@ -290,7 +305,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@@ -319,7 +334,8 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
- "id": "9WnxxN8oOGk0"
+ "id": "9WnxxN8oOGk0",
+ "outputId": "6d028afd-25ca-40e4-ca61-888e066fd6a1"
},
"outputs": [
{
@@ -349,46 +365,20 @@
},
{
"cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "id": "imIkrAB62Gnd"
+ },
"source": [
"# Using App"
]
},
{
"cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "c:\\Users\\rohit\\anaconda3\\envs\\vtv\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
- " from .autonotebook import tqdm as notebook_tqdm\n",
- "c:\\Users\\rohit\\anaconda3\\envs\\vtv\\lib\\site-packages\\whisper\\transcribe.py:132: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
- " warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n"
- ]
- },
- {
- "ename": "FileNotFoundError",
- "evalue": "[WinError 2] The system cannot find the file specified",
- "output_type": "error",
- "traceback": [
- "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
- "Cell \u001b[1;32mIn[1], line 4\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mapp\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m voice_to_voice\n\u001b[0;32m 3\u001b[0m input_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInput Audio Sample.wav\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m----> 4\u001b[0m output_path \u001b[38;5;241m=\u001b[39m \u001b[43mvoice_to_voice\u001b[49m\u001b[43m(\u001b[49m\u001b[43minput_path\u001b[49m\u001b[43m)\u001b[49m\n",
- "File \u001b[1;32mc:\\Users\\rohit\\OneDrive\\Desktop\\Files\\Vaanee\\Audio-Video Data\\Individual Audio\\Prepared\\V2V\\Voice2VoiceTranslate\\app.py:7\u001b[0m, in \u001b[0;36mvoice_to_voice\u001b[1;34m(audio_file_path)\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mvoice_to_voice\u001b[39m(audio_file_path):\n\u001b[0;32m 6\u001b[0m \u001b[38;5;66;03m# Step 1: Transcribe\u001b[39;00m\n\u001b[1;32m----> 7\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mtranscribe_audio_locally\u001b[49m\u001b[43m(\u001b[49m\u001b[43maudio_file_path\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel_size\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mbase\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 8\u001b[0m source_text \u001b[38;5;241m=\u001b[39m result[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtext\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m 9\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTranscribed:\u001b[39m\u001b[38;5;124m\"\u001b[39m, source_text)\n",
- "File \u001b[1;32mc:\\Users\\rohit\\OneDrive\\Desktop\\Files\\Vaanee\\Audio-Video Data\\Individual Audio\\Prepared\\V2V\\Voice2VoiceTranslate\\my_transcribe.py:18\u001b[0m, in \u001b[0;36mtranscribe_audio_locally\u001b[1;34m(audio_file_path, model_size)\u001b[0m\n\u001b[0;32m 15\u001b[0m model \u001b[38;5;241m=\u001b[39m whisper\u001b[38;5;241m.\u001b[39mload_model(model_size)\n\u001b[0;32m 17\u001b[0m \u001b[38;5;66;03m# Transcribe the audio\u001b[39;00m\n\u001b[1;32m---> 18\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtranscribe\u001b[49m\u001b[43m(\u001b[49m\u001b[43maudio_file_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 20\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
- "File \u001b[1;32mc:\\Users\\rohit\\anaconda3\\envs\\vtv\\lib\\site-packages\\whisper\\transcribe.py:139\u001b[0m, in \u001b[0;36mtranscribe\u001b[1;34m(model, audio, verbose, temperature, compression_ratio_threshold, logprob_threshold, no_speech_threshold, condition_on_previous_text, initial_prompt, carry_initial_prompt, word_timestamps, prepend_punctuations, append_punctuations, clip_timestamps, hallucination_silence_threshold, **decode_options)\u001b[0m\n\u001b[0;32m 136\u001b[0m decode_options[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfp16\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m 138\u001b[0m \u001b[38;5;66;03m# Pad 30-seconds of silence to the input audio, for slicing\u001b[39;00m\n\u001b[1;32m--> 139\u001b[0m mel \u001b[38;5;241m=\u001b[39m \u001b[43mlog_mel_spectrogram\u001b[49m\u001b[43m(\u001b[49m\u001b[43maudio\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdims\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mn_mels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpadding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mN_SAMPLES\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 140\u001b[0m content_frames \u001b[38;5;241m=\u001b[39m mel\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m-\u001b[39m N_FRAMES\n\u001b[0;32m 141\u001b[0m content_duration \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mfloat\u001b[39m(content_frames \u001b[38;5;241m*\u001b[39m HOP_LENGTH \u001b[38;5;241m/\u001b[39m SAMPLE_RATE)\n",
- "File \u001b[1;32mc:\\Users\\rohit\\anaconda3\\envs\\vtv\\lib\\site-packages\\whisper\\audio.py:140\u001b[0m, in \u001b[0;36mlog_mel_spectrogram\u001b[1;34m(audio, n_mels, padding, device)\u001b[0m\n\u001b[0;32m 138\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mis_tensor(audio):\n\u001b[0;32m 139\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(audio, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m--> 140\u001b[0m audio \u001b[38;5;241m=\u001b[39m \u001b[43mload_audio\u001b[49m\u001b[43m(\u001b[49m\u001b[43maudio\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 141\u001b[0m audio \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mfrom_numpy(audio)\n\u001b[0;32m 143\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m device \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
- "File \u001b[1;32mc:\\Users\\rohit\\anaconda3\\envs\\vtv\\lib\\site-packages\\whisper\\audio.py:58\u001b[0m, in \u001b[0;36mload_audio\u001b[1;34m(file, sr)\u001b[0m\n\u001b[0;32m 56\u001b[0m \u001b[38;5;66;03m# fmt: on\u001b[39;00m\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 58\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcmd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcapture_output\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcheck\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mstdout\n\u001b[0;32m 59\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m CalledProcessError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m 60\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed to load audio: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;241m.\u001b[39mstderr\u001b[38;5;241m.\u001b[39mdecode()\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01me\u001b[39;00m\n",
- "File \u001b[1;32mc:\\Users\\rohit\\anaconda3\\envs\\vtv\\lib\\subprocess.py:503\u001b[0m, in \u001b[0;36mrun\u001b[1;34m(input, capture_output, timeout, check, *popenargs, **kwargs)\u001b[0m\n\u001b[0;32m 500\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstdout\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m PIPE\n\u001b[0;32m 501\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstderr\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m PIPE\n\u001b[1;32m--> 503\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m Popen(\u001b[38;5;241m*\u001b[39mpopenargs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;28;01mas\u001b[39;00m process:\n\u001b[0;32m 504\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 505\u001b[0m stdout, stderr \u001b[38;5;241m=\u001b[39m process\u001b[38;5;241m.\u001b[39mcommunicate(\u001b[38;5;28minput\u001b[39m, timeout\u001b[38;5;241m=\u001b[39mtimeout)\n",
- "File \u001b[1;32mc:\\Users\\rohit\\anaconda3\\envs\\vtv\\lib\\subprocess.py:971\u001b[0m, in \u001b[0;36mPopen.__init__\u001b[1;34m(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, user, group, extra_groups, encoding, errors, text, umask, pipesize)\u001b[0m\n\u001b[0;32m 967\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtext_mode:\n\u001b[0;32m 968\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr \u001b[38;5;241m=\u001b[39m io\u001b[38;5;241m.\u001b[39mTextIOWrapper(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr,\n\u001b[0;32m 969\u001b[0m encoding\u001b[38;5;241m=\u001b[39mencoding, errors\u001b[38;5;241m=\u001b[39merrors)\n\u001b[1;32m--> 971\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_child\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecutable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpreexec_fn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclose_fds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 972\u001b[0m \u001b[43m \u001b[49m\u001b[43mpass_fds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 973\u001b[0m \u001b[43m \u001b[49m\u001b[43mstartupinfo\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreationflags\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mshell\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 974\u001b[0m \u001b[43m \u001b[49m\u001b[43mp2cread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp2cwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 975\u001b[0m \u001b[43m \u001b[49m\u001b[43mc2pread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mc2pwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 976\u001b[0m \u001b[43m \u001b[49m\u001b[43merrread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 977\u001b[0m \u001b[43m \u001b[49m\u001b[43mrestore_signals\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 978\u001b[0m \u001b[43m \u001b[49m\u001b[43mgid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgids\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mumask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 979\u001b[0m \u001b[43m \u001b[49m\u001b[43mstart_new_session\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 980\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[0;32m 981\u001b[0m \u001b[38;5;66;03m# Cleanup if the child failed starting.\u001b[39;00m\n\u001b[0;32m 982\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m f \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mfilter\u001b[39m(\u001b[38;5;28;01mNone\u001b[39;00m, (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstdin, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstdout, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr)):\n",
- "File \u001b[1;32mc:\\Users\\rohit\\anaconda3\\envs\\vtv\\lib\\subprocess.py:1456\u001b[0m, in \u001b[0;36mPopen._execute_child\u001b[1;34m(self, args, executable, preexec_fn, close_fds, pass_fds, cwd, env, startupinfo, creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, unused_restore_signals, unused_gid, unused_gids, unused_uid, unused_umask, unused_start_new_session)\u001b[0m\n\u001b[0;32m 1454\u001b[0m \u001b[38;5;66;03m# Start the process\u001b[39;00m\n\u001b[0;32m 1455\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 1456\u001b[0m hp, ht, pid, tid \u001b[38;5;241m=\u001b[39m \u001b[43m_winapi\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mCreateProcess\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexecutable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1457\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# no special security\u001b[39;49;00m\n\u001b[0;32m 1458\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 1459\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mclose_fds\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1460\u001b[0m \u001b[43m \u001b[49m\u001b[43mcreationflags\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1461\u001b[0m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1462\u001b[0m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1463\u001b[0m \u001b[43m \u001b[49m\u001b[43mstartupinfo\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1464\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 1465\u001b[0m \u001b[38;5;66;03m# Child is launched. Close the parent's copy of those pipe\u001b[39;00m\n\u001b[0;32m 1466\u001b[0m \u001b[38;5;66;03m# handles that only the child should have open. You need\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1469\u001b[0m \u001b[38;5;66;03m# pipe will not close when the child process exits and the\u001b[39;00m\n\u001b[0;32m 1470\u001b[0m \u001b[38;5;66;03m# ReadFile will hang.\u001b[39;00m\n\u001b[0;32m 1471\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_close_pipe_fds(p2cread, p2cwrite,\n\u001b[0;32m 1472\u001b[0m c2pread, c2pwrite,\n\u001b[0;32m 1473\u001b[0m errread, errwrite)\n",
- "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 2] The system cannot find the file specified"
- ]
- }
- ],
+ "execution_count": null,
+ "metadata": {
+ "id": "X6yv9liw2Gnd"
+ },
+ "outputs": [],
"source": [
"from app import voice_to_voice\n",
"\n",
@@ -398,18 +388,48 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
+ "execution_count": 11,
+ "metadata": {
+ "id": "JczUoimK2Gnd",
+ "outputId": "2ca1947a-3597-4924-ae4c-b16f6ee612be",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 75
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "text/html": [
+ "\n",
+ " \n",
+ " "
+ ]
+ },
+ "metadata": {},
+ "execution_count": 11
+ }
+ ],
+ "source": [
+ "from IPython.display import Audio\n",
+ "\n",
+ "Audio(output_path)\n"
+ ]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"gpuType": "T4",
- "include_colab_link": true,
- "provenance": []
+ "provenance": [],
+ "include_colab_link": true
},
"kernelspec": {
"display_name": "vtv",
@@ -431,4 +451,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
-}
+}
\ No newline at end of file