Spaces:
Running
Running
| 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() |