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Running
jonathanagustin
commited on
Commit
•
0d286b6
1
Parent(s):
0294913
Upload folder using huggingface_hub
Browse files
alloy.wav
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Binary file (223 kB). View file
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app.py
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import gradio as gr
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import tempfile
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import openai
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import requests
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import os
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from functools import partial
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def tts(
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input_text: str,
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model: str,
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return temp_file_path
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def main():
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"""
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Main function to create and launch the Gradio interface.
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VOICE_OPTIONS = ["alloy", "echo", "fable", "onyx", "nova", "shimmer"]
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RESPONSE_FORMAT_OPTIONS = ["mp3", "opus", "aac", "flac", "wav", "pcm"]
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#
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for voice in VOICE_OPTIONS
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}
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# Download audio previews before initiating the interface
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PREVIEW_DIR = "voice_previews"
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os.makedirs(PREVIEW_DIR, exist_ok=True)
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VOICE_PREVIEW_FILES = {}
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for voice, url in VOICE_PREVIEW_URLS.items():
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local_file_path = os.path.join(PREVIEW_DIR, f"{voice}.wav")
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if not os.path.exists(local_file_path):
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try:
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response = requests.get(url)
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response.raise_for_status()
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with open(local_file_path, "wb") as f:
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f.write(response.content)
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except requests.exceptions.RequestException as e:
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print(f"Failed to download {voice} preview: {e}")
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VOICE_PREVIEW_FILES[voice] = local_file_path
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# Set static paths for Gradio to serve
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gr.set_static_paths(paths=[PREVIEW_DIR])
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with gr.Blocks(title="OpenAI - Text to Speech") as demo:
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with gr.Row():
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with gr.Group():
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preview_audio = gr.Audio(
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interactive=False,
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label="Preview Voice:
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value=VOICE_PREVIEW_FILES[
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visible=True,
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show_download_button=True,
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show_share_button=False,
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:return: File path to the generated audio file.
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:rtype: str
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"""
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audio_file = tts(
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return audio_file
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# Trigger the conversion when the submit button is clicked
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# Launch the Gradio app with error display enabled
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demo.launch(show_error=True)
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if __name__ == "__main__":
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main()
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import gradio as gr
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import tempfile
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import openai
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import os
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from functools import partial
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def tts(
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input_text: str,
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model: str,
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return temp_file_path
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def main():
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"""
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Main function to create and launch the Gradio interface.
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VOICE_OPTIONS = ["alloy", "echo", "fable", "onyx", "nova", "shimmer"]
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RESPONSE_FORMAT_OPTIONS = ["mp3", "opus", "aac", "flac", "wav", "pcm"]
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# Since you've already downloaded the voice previews to the current directory,
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# set up the VOICE_PREVIEW_FILES dictionary to point to these files directly.
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VOICE_PREVIEW_FILES = {voice: f"{voice}.wav" for voice in VOICE_OPTIONS}
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with gr.Blocks(title="OpenAI - Text to Speech") as demo:
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with gr.Row():
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with gr.Group():
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# Set the default preview audio to one of the voices
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default_voice = "echo"
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preview_audio = gr.Audio(
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interactive=False,
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label=f"Preview Voice: {default_voice.capitalize()}",
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value=VOICE_PREVIEW_FILES[default_voice],
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visible=True,
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show_download_button=True,
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show_share_button=False,
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:return: File path to the generated audio file.
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:rtype: str
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"""
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audio_file = tts(
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input_text, model, voice, api_key, response_format, speed
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)
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return audio_file
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# Trigger the conversion when the submit button is clicked
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# Launch the Gradio app with error display enabled
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demo.launch(show_error=True)
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if __name__ == "__main__":
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main()
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echo.wav
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Binary file (287 kB). View file
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fable.wav
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Binary file (292 kB). View file
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nova.wav
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Binary file (297 kB). View file
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onyx.wav
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Binary file (277 kB). View file
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shimmer.wav
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Binary file (271 kB). View file
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