app.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3bedf0dc-8d8e-4ede-a9e6-b8f35136aa00",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|default_exp app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "667802a7-0f36-4136-a381-e66210b20462",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OPENAI_API_KEY var not found. Trying import tts_openai_secrets\n",
      "import tts_openai_secrets succeeded\n"
     ]
    }
   ],
   "source": [
    "#| export\n",
    "#tts_openai_secrets.py content:\n",
    "#import os\n",
    "#os.environ['OPENAI_API_KEY'] = 'sk-XXXXXXXXXXXXXXXXXXXXXX'\n",
    "try:\n",
    "    import os\n",
    "    _ = os.environ['OPENAI_API_KEY']\n",
    "    print('OPENAI_API_KEY var was found.')\n",
    "except:\n",
    "    print('OPENAI_API_KEY var not found. Trying import tts_openai_secrets')\n",
    "    try:\n",
    "        import tts_openai_secrets\n",
    "        print('import tts_openai_secrets succeeded')\n",
    "    except:\n",
    "        print('secret import from tts_openai_secrets.py failed - env var must be previously set')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4d9863fc-969e-409b-8e20-b9c3cd2cc3e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "try:\n",
    "    import nbdev\n",
    "except:\n",
    "    print('to convert this notebook to app.py you need to pip install nbdev')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f486d3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "import gradio as gr\n",
    "import openai"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0ffd33b4-cb9b-4c01-bff6-4c3102854ab6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "successfully got tts model list: ['tts-1-hd', 'tts-1-hd-1106', 'canary-tts', 'tts-1', 'tts-1-1106']\n"
     ]
    }
   ],
   "source": [
    "#| export\n",
    "try:\n",
    "    tts_models = [o.id for o in openai.models.list().data if 'tts' in o.id]\n",
    "    print('successfully got tts model list:', tts_models)\n",
    "except:\n",
    "    tts_models = ['tts-1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2ddbca5d-4b04-43ab-afaf-430802980e78",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "tts_voices = ['alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5388e860",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "def create_speech(input_text, model='tts-1', voice='alloy'):\n",
    "    client = openai.OpenAI()\n",
    "    response = client.audio.speech.create(\n",
    "        model=model,\n",
    "        voice=voice,\n",
    "        input=input_text,\n",
    "        speed=1.0\n",
    "    )\n",
    "    client.close()\n",
    "    return response.content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "236dd8d3-4364-4731-af93-7dcdec6f18a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "def get_input_text_len(input_text):\n",
    "    return len(input_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4fb3159-579b-4271-bc96-4cd1e2816eca",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "with gr.Blocks(title='OpenAI TTS', head='OpenAI TTS') as app:\n",
    "    gr.Markdown(\"# OpenAI TTS\")\n",
    "    gr.Markdown(\"Start typing below and then click **Go** to create the speech from your text. The current limit is 4,000 characters.\")\n",
    "    with gr.Row():\n",
    "        input_text = gr.Textbox(max_lines=100, label=\"Enter text here\")\n",
    "    with gr.Row():\n",
    "        tts_model_dropdown = gr.Dropdown(value='tts-1',choices=tts_models, label='Model')\n",
    "        tts_voice_dropdown = gr.Dropdown(value='alloy',choices=tts_voices,label='Voice')\n",
    "        input_text_length = gr.Label(label=\"Number of characters\")\n",
    "        output_audio = gr.Audio()\n",
    "    input_text.input(fn=get_input_text_len, inputs=input_text, outputs=input_text_length)\n",
    "    go_btn = gr.Button(\"Go\")\n",
    "    go_btn.click(fn=create_speech, inputs=[input_text, tts_model_dropdown, tts_voice_dropdown], outputs=[output_audio])\n",
    "    clear_btn = gr.Button('Clear')\n",
    "    clear_btn.click(fn=lambda: '', outputs=input_text)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4b534fe7-4337-423e-846a-1bdb7cccc4ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "#Notebook launch\n",
    "app.launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cb886d45",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://0.0.0.0:7861\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><iframe src=\"http://localhost:7861/\" 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": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#| export\n",
    "#.py launch\n",
    "if __name__ == \"__main__\":\n",
    "    app.launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "28e8d888-e790-46fa-bbac-4511b9ab796c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Closing server running on port: 7861\n"
     ]
    }
   ],
   "source": [
    "#| hide\n",
    "app.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "afbc9699-4d16-4060-88f4-cd1251754cbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "gr.close_all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0420310d-930b-4904-8bd4-3458ad8bdbd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "nbdev.export.nb_export('app.ipynb',lib_path='.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9869749d-bc7c-4e24-9dbc-403f665d6200",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "python3",
   "language": "python",
   "name": "python3"
  }
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 "nbformat": 4,
 "nbformat_minor": 5
}