import gradio as gr import tempfile import openai def tts(input_text: str, model: str, voice: str, api_key: str) -> str: """ Convert input text to speech using OpenAI's Text-to-Speech API. Parameters: input_text (str): The text to be converted to speech. model (str): The model to use for synthesis (e.g., 'tts-1', 'tts-1-hd'). voice (str): The voice profile to use (e.g., 'alloy', 'echo', 'fable', etc.). api_key (str): OpenAI API key. Returns: str: File path to the generated audio file. Raises: gr.Error: If input parameters are invalid or API call fails. """ if not api_key.strip(): raise gr.Error("API key is required. Get an API key at: https://platform.openai.com/account/api-keys") if not input_text.strip(): raise gr.Error("Input text cannot be empty.") openai.api_key = api_key try: response = openai.Audio.create( text=input_text, voice=voice, model=model ) except openai.OpenAIError as e: # Catch-all for OpenAI exceptions raise gr.Error(f"An OpenAI error occurred: {e}") except Exception as e: # Catch any other exceptions raise gr.Error(f"An unexpected error occurred: {e}") if not hasattr(response, 'audio'): raise gr.Error("Invalid response from OpenAI API. The response does not contain audio content.") with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file: temp_file.write(response.audio) temp_file_path = temp_file.name return temp_file_path def main(): """ Main function to create and launch the Gradio interface. """ MODEL_OPTIONS = ["tts-1", "tts-1-hd"] VOICE_OPTIONS = ["alloy", "echo", "fable", "onyx", "nova", "shimmer"] with gr.Blocks() as demo: with gr.Row(): with gr.Column(scale=1): api_key_input = gr.Textbox( label="OpenAI API Key", info="https://platform.openai.com/account/api-keys", type="password", placeholder="Enter your OpenAI API Key", ) model_dropdown = gr.Dropdown( choices=MODEL_OPTIONS, label="Model", value="tts-1" ) voice_dropdown = gr.Dropdown( choices=VOICE_OPTIONS, label="Voice Options", value="echo" ) with gr.Column(scale=2): input_textbox = gr.Textbox( label="Input Text", lines=10, placeholder="Type your text here..." ) submit_button = gr.Button( "Convert Text to Speech", variant="primary" ) with gr.Column(scale=1): output_audio = gr.Audio(label="Output Audio") # Define the event handler for the submit button with error handling def on_submit(input_text, model, voice, api_key): audio_file = tts(input_text, model, voice, api_key) return audio_file # Trigger the conversion when the submit button is clicked submit_button.click( fn=on_submit, inputs=[input_textbox, model_dropdown, voice_dropdown, api_key_input], outputs=output_audio ) # Launch the Gradio app with error display enabled demo.launch(show_error=True) if __name__ == "__main__": main()