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import os
from gradio_client import Client, file
client = Client("Pendrokar/xVASynth-TTS", hf_token=os.getenv('HF_TOKEN'))
endpoints = client.view_api(all_endpoints=True, print_info=False, return_format='dict')
# print(endpoints)
result = client.predict(
"Well, hello there!!", # str in 'Input Text' Textbox component
"x_ex04", # Literal['x_ex04', 'x_ex01', 'cnc_cabal', 'ccby_nvidia_hifi_92_F', 'ccby_nvidia_hifi_6671_M', 'more'] in 'Voice' Radio component
"en", # Literal['en', 'de', 'es', 'hi', 'zh', 'more'] in 'Language' Radio component
1.0, # float (numeric value between 0.5 and 2.0) in 'Duration' Slider component
0, # UNUSED; float (numeric value between 0 and 1.0) in 'Pitch' Slider component
0.1, # UNUSED; float (numeric value between 0.1 and 1.0) in 'Energy' Slider component
0, # Overriden by DeepMoji; float (numeric value between 0 and 1.0) in '😠 Anger' Slider component
0, # Overriden by DeepMoji; float (numeric value between 0 and 1.0) in '😃 Happiness' Slider component
0, # Overriden by DeepMoji; float (numeric value between 0 and 1.0) in '😭 Sadness' Slider component
0, # Overriden by DeepMoji; float (numeric value between 0 and 1.0) in '😮 Surprise' Slider component
True, # bool in 'Use DeepMoji' Checkbox component
api_name="/predict"
) |