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import gradio as gr | |
import os | |
import tempfile | |
from openai import OpenAI | |
# Set an environment variable for key | |
os.environ['OPENAI_API_KEY'] = os.environ.get('OPENAI_API_KEY') | |
client = OpenAI() # add api_key | |
def tts(text): | |
response = client.audio.speech.create( | |
model="tts-1", | |
voice="alloy", | |
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: | |
with gr.Row(): | |
dd1 = gr.Dropdown(choices=['tts-1','tts-1-hd'], label='Model') | |
dd2 = gr.Dropdown(choices=['alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'], label='Voice Options') | |
text = gr.Textbox(label="Input text") | |
btn = gr.Button("Greet") | |
output_audio = gr.Audio(label="Speech Output") | |
btn.click(fn=tts, inputs=text, outputs=output_audio, api_name="tts") | |
demo.launch() | |