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""" | |
This script implements a Gradio interface for text-to-speech conversion using OpenAI's API. | |
Users can input text, select a model and voice, and receive an audio output of the synthesized speech. | |
Dependencies: | |
- gradio | |
- openai | |
Usage: | |
Run the script to launch a web interface for text-to-speech conversion. | |
Note: | |
- Ensure that you have installed the required packages: | |
pip install gradio openai | |
- Obtain a valid OpenAI API key with access to the necessary services. | |
""" | |
import gradio as gr | |
import tempfile | |
import openai | |
from typing import Tuple | |
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. | |
:param input_text: The text to be converted to speech. | |
:type input_text: str | |
:param model: The model to use for synthesis (e.g., 'tts-1', 'tts-1-hd'). | |
:type model: str | |
:param voice: The voice profile to use (e.g., 'alloy', 'echo', 'fable', etc.). | |
:type voice: str | |
:param api_key: OpenAI API key. | |
:type api_key: str | |
:return: File path to the generated audio file. | |
:rtype: str | |
:raises gr.Error: If input parameters are invalid or API call fails. | |
""" | |
if not input_text.strip(): | |
raise gr.Error("Input text cannot be empty.") | |
if not api_key.strip(): | |
raise gr.Error("API key is required.") | |
openai.api_key = api_key | |
try: | |
response = openai.Audio.create( | |
text=input_text, | |
voice=voice, | |
model=model | |
) | |
except openai.error.OpenAIError as e: | |
raise gr.Error(f"OpenAI API Error: {str(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 with input validation and error handling. | |
""" | |
# Define model and voice options | |
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="API Key", | |
type="password", | |
placeholder="Enter your OpenAI API Key", | |
value="", | |
) | |
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", | |
interactive=True | |
) | |
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 | |
submit_button.click( | |
fn=on_submit, | |
inputs=[input_textbox, model_dropdown, voice_dropdown, api_key_input], | |
outputs=output_audio, | |
api_name="convert_text_to_speech", | |
) | |
# Allow pressing Enter in the input textbox to trigger the conversion | |
input_textbox.submit( | |
fn=on_submit, | |
inputs=[input_textbox, model_dropdown, voice_dropdown, api_key_input], | |
outputs=output_audio, | |
api_name="convert_text_to_speech", | |
) | |
# Launch the Gradio app with API documentation enabled | |
demo.launch(share=True) | |
if __name__ == "__main__": | |
main() |