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import gradio as gr
import os
import tempfile
from openai import OpenAI
def tts(text, model, voice, api_key):
client = OpenAI(api_key=api_key)
response = client.audio.speech.create(
model=model, #"tts-1","tts-1-hd"
voice=voice, #'alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'
input=text,
)
# Create a temp file to save the audio
with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file:
temp_file.write(response.content)
# Get the file path of the temp file
temp_file_path = temp_file.name
return temp_file_path
with gr.Blocks() as demo:
gr.Markdown("# <center> OpenAI Text-To-Speech API with Gradio </center>")
gr.HTML("You can also access the Streaming demo for OpenAI TTS by clicking this <a href='https://huggingface.co/spaces/ysharma/OpenAI_TTS_Streaming'>Gradio demo link</a>")
with gr.Row(variant='panel'):
api_key = gr.Textbox(type='password', label='OpenAI API Key', placeholder='Enter your API key to access the TTS demo')
model = gr.Dropdown(choices=['tts-1','tts-1-hd'], label='Model', value='tts-1')
voice = gr.Dropdown(choices=['alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'], label='Voice Options', value='alloy')
text = gr.Textbox(label="Input text", placeholder="Enter your text and then click on the 'Text-To-Speech' button, or simply press the Enter key.")
btn = gr.Button("Text-To-Speech")
output_audio = gr.Audio(label="Speech Output")
text.submit(fn=tts, inputs=[text, model, voice], outputs=output_audio, api_name="tts", concurrency_limit=None)
btn.click(fn=tts, inputs=[text, model, voice], outputs=output_audio, api_name="tts", concurrency_limit=None)
demo.launch()
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