import gradio as gr import os import tempfile from openai import OpenAI api_key = os.getenv('apikey') 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=model, # "tts-1","tts-1-hd" voice=voice, # 'alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer' 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("## OpenAI Text-To-Speech") with gr.Row(variant='panel'): 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()