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| import gradio as gr | |
| import tempfile | |
| import openai | |
| import requests | |
| import os | |
| from functools import partial | |
| def tts( | |
| input_text: str, | |
| model: str, | |
| voice: str, | |
| api_key: str, | |
| response_format: str = "mp3", | |
| speed: float = 1.0, | |
| ) -> 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. | |
| response_format (str): The audio format of the output file (default is 'mp3'). | |
| speed (float): The speed of the synthesized speech (0.25 to 4.0). | |
| 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.speech.create( | |
| model=model, | |
| voice=voice, | |
| input=input_text, | |
| response_format=response_format, | |
| speed=speed, | |
| ) | |
| except openai.error.OpenAIError as e: | |
| # Catch 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}") | |
| # Save the audio content to a temporary file | |
| file_extension = f".{response_format}" | |
| with tempfile.NamedTemporaryFile(suffix=file_extension, delete=False) as temp_file: | |
| response.stream_to_file(temp_file.name) | |
| 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"] | |
| RESPONSE_FORMAT_OPTIONS = ["mp3", "opus", "aac", "flac", "wav", "pcm"] | |
| # Predefine voice previews URLs | |
| VOICE_PREVIEW_URLS = { | |
| voice: f"https://cdn.openai.com/API/docs/audio/{voice}.wav" | |
| for voice in VOICE_OPTIONS | |
| } | |
| # Download audio previews to disk before initiating the interface | |
| PREVIEW_DIR = "voice_previews" | |
| os.makedirs(PREVIEW_DIR, exist_ok=True) | |
| VOICE_PREVIEW_FILES = {} | |
| for voice, url in VOICE_PREVIEW_URLS.items(): | |
| local_file_path = os.path.join(PREVIEW_DIR, f"{voice}.wav") | |
| if not os.path.exists(local_file_path): | |
| try: | |
| response = requests.get(url) | |
| response.raise_for_status() | |
| with open(local_file_path, "wb") as f: | |
| f.write(response.content) | |
| except requests.exceptions.RequestException as e: | |
| print(f"Failed to download {voice} preview: {e}") | |
| VOICE_PREVIEW_FILES[voice] = local_file_path | |
| # Set static paths for Gradio to serve | |
| gr.set_static_paths(paths=[PREVIEW_DIR]) | |
| # Create the 'preview_audio' component | |
| with gr.Blocks(title="OpenAI - Text to Speech") as demo: | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| # Function to play the selected voice sample | |
| def play_voice_sample(voice): | |
| return gr.update( | |
| value=VOICE_PREVIEW_FILES[voice], | |
| label=f"Preview Voice: {voice.capitalize()}", | |
| ) | |
| preview_audio = gr.Audio( | |
| interactive=False, | |
| label="Echo", | |
| value=VOICE_PREVIEW_FILES['echo'], | |
| visible=True, | |
| show_download_button=False, | |
| show_share_button=False, | |
| autoplay=False, | |
| ) | |
| with gr.Group(): | |
| # Create buttons for each voice | |
| for voice in VOICE_OPTIONS: | |
| voice_button = gr.Button( | |
| value=f"{voice.capitalize()}", | |
| variant="secondary", | |
| size="sm", | |
| ) | |
| voice_button.click( | |
| fn=partial(play_voice_sample, voice=voice), | |
| outputs=preview_audio, | |
| ) | |
| 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", | |
| info="Select tts-1 for speed or tts-1-hd for quality.", | |
| ) | |
| voice_dropdown = gr.Dropdown( | |
| choices=VOICE_OPTIONS, | |
| label="Voice Options", | |
| value="echo", | |
| ) | |
| response_format_dropdown = gr.Dropdown( | |
| choices=RESPONSE_FORMAT_OPTIONS, | |
| label="Response Format", | |
| value="mp3", | |
| ) | |
| speed_slider = gr.Slider( | |
| minimum=0.25, | |
| maximum=4.0, | |
| step=0.05, | |
| label="Voice Speed", | |
| value=1.0, | |
| ) | |
| with gr.Column(scale=2): | |
| # Initialize the input textbox with the desired label | |
| input_textbox = gr.Textbox( | |
| label="Input Text (0000 / 4096 chars)", | |
| lines=10, | |
| placeholder="Type your text here...", | |
| ) | |
| # Function to update the label with the character count | |
| def update_label(input_text): | |
| char_count = len(input_text) | |
| new_label = f"Input Text ({char_count:04d} / 4096 chars)" | |
| return gr.update(label=new_label) | |
| # Update the label when the text changes, with progress hidden | |
| input_textbox.change( | |
| fn=update_label, | |
| inputs=input_textbox, | |
| outputs=input_textbox, | |
| show_progress='hidden', # Hide the progress indicator | |
| ) | |
| 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, response_format, speed | |
| ): | |
| audio_file = tts( | |
| input_text, model, voice, api_key, response_format, speed | |
| ) | |
| 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, | |
| response_format_dropdown, | |
| speed_slider, | |
| ], | |
| outputs=output_audio, | |
| ) | |
| # Launch the Gradio app with error display enabled | |
| demo.launch(show_error=True) | |
| if __name__ == "__main__": | |
| main() |