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| import gradio as gr | |
| import os | |
| import tempfile | |
| from openai import OpenAI | |
| def tts(text, model, voice, api_key): | |
| if api_key == '': | |
| raise gr.Error('Please enter your OpenAI API Key') | |
| else: | |
| try: | |
| client = OpenAI(api_key=api_key) | |
| response = client.audio.speech.create( | |
| model='tts-1', # "tts-1","tts-1-hd" | |
| voice='alloy', # 'alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer' | |
| input='input text', | |
| ) | |
| except Exception as error: | |
| # Handle any exception that occurs | |
| raise gr.Error("An error occurred while generating speech. Please check your API key and try again.") | |
| print(str(error)) | |
| # 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, api_key], outputs=output_audio, api_name="tts_enter_key", concurrency_limit=None) | |
| btn.click(fn=tts, inputs=[text, model, voice, api_key], outputs=output_audio, api_name="tts_button", concurrency_limit=None) | |
| demo.launch() |