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import os
from gradio_client import Client, file
client = Client("mrfakename/MetaVoice-1B-v0.1", hf_token=os.getenv('HF_TOKEN'))
endpoints = client.view_api(all_endpoints=True, print_info=False, return_format='dict')
print(endpoints)
result = client.predict(
"Please surprise me and speak in whatever voice you enjoy.", # str in 'What should I say!? (max 512 characters).' Textbox component
5, # float (numeric value between 0.0 and 10.0) in 'Speech Stability - improves text following for a challenging speaker' Slider component
5, # float (numeric value between 1.0 and 5.0) in 'Speaker similarity - How closely to match speaker identity and speech style.' Slider component
"Preset voices", # Literal['Preset voices', 'Upload target voice'] in 'Choose voice' Radio component
"Bria", # Literal['Bria', 'Alex', 'Jacob'] in 'Preset voices' Dropdown component
None, # filepath in 'Upload a clean sample to clone. Sample should contain 1 speaker, be between 30-90 seconds and not contain background noise.' Audio component
api_name="/tts"
) |