Spaces:
Running
Running
File size: 4,748 Bytes
42966de f43c5ad 42966de 9813b68 42966de 97e46d3 42966de 97e46d3 9813b68 97e46d3 42966de 3020c69 42966de 9813b68 2449b0e 97e46d3 2449b0e dac7224 2449b0e dac7224 42966de 9813b68 42966de dfb71ed 42966de 9813b68 42966de 97e46d3 42966de f43c5ad 9813b68 f43c5ad 42966de db69a9c 9c76877 3020c69 42966de f43c5ad 9813b68 5221577 9813b68 5221577 9813b68 f43c5ad 9813b68 f43c5ad 42966de 9813b68 3020c69 9813b68 42966de 3020c69 97e46d3 42966de dac7224 3020c69 42966de 9813b68 dfb71ed dac7224 7068a4f 42966de 9813b68 42966de 9813b68 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 |
import gradio as gr
import tempfile
import openai
import requests
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"]
# Predefine voice previews URLs
VOICE_PREVIEWS = {
voice: f"https://cdn.openai.com/API/docs/audio/{voice}.wav"
for voice in VOICE_OPTIONS
}
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"
)
# Add voice previews
gr.Markdown("### Voice Previews")
for voice in VOICE_OPTIONS:
audio_url = VOICE_PREVIEWS[voice]
# Fetch the audio data
try:
response = requests.get(audio_url)
response.raise_for_status()
audio_data = response.content
gr.Audio(
value=audio_data,
waveform_options=gr.WaveformOptions(
show_download_button=False,
),
show_share_button=False,
show_controls=False,
label=f"{voice.capitalize()}",
autoplay=False,
)
except requests.exceptions.RequestException as e:
gr.Markdown(
f"Could not load preview for {voice.capitalize()}: {e}"
)
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()
|