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{
"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",
"import os\n",
"secret_import_failed = False\n",
"try:\n",
" _ = os.environ['OPENAI_API_KEY']\n",
" print('OPENAI_API_KEY environment variable was found.')\n",
"except:\n",
" print('OPENAI_API_KEY environment variable was not found.')\n",
" secret_import_failed = True\n",
"try:\n",
" GRADIO_PASSWORD = os.environ['GRADIO_PASSWORD']\n",
" print('GRADIO_PASSWORD environment variable was found.')\n",
"except:\n",
" print('GRADIO_PASSWORD environment variable was not found.')\n",
" secret_import_failed = True\n",
"\n",
"if secret_import_failed == True:\n",
" import tts_openai_secrets\n",
" GRADIO_PASSWORD = os.environ['GRADIO_PASSWORD']\n",
" print('import tts_openai_secrets succeeded')"
]
},
{
"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": "a00648a1-891b-470b-9959-f5d502055713",
"metadata": {},
"outputs": [],
"source": [
"#| export\n",
"launch_kwargs = {'auth':('username',GRADIO_PASSWORD),\n",
" 'auth_message':'Please log in to Mat\\'s TTS App with username: username and password.'}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4b534fe7-4337-423e-846a-1bdb7cccc4ea",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Running on local URL: http://0.0.0.0:7860\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"http://localhost: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": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#| hide\n",
"#Notebook launch\n",
"app.launch(**launch_kwargs)"
]
},
{
"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(**launch_kwargs)"
]
},
{
"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"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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