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	| import os | |
| from test_overrides import _get_param_examples, _override_params | |
| from gradio_client import Client | |
| model = "mrfakename/MeloTTS" | |
| client = Client(model, hf_token=os.getenv('HF_TOKEN')) | |
| endpoints = client.view_api(all_endpoints=True, print_info=False, return_format='dict') | |
| # print(endpoints) | |
| api_name = '/synthesize' | |
| fn_index = None | |
| end_parameters = None | |
| text = 'This is what my voice sounds like.' | |
| end_parameters = _get_param_examples( | |
| endpoints['named_endpoints'][api_name]['parameters'] | |
| ) | |
| print(end_parameters) | |
| # override some or all default parameters | |
| space_inputs = _override_params(end_parameters, model) | |
| # space_inputs[0] = text | |
| space_inputs['text'] = text | |
| print(space_inputs) | |
| if(type(space_inputs) == dict): | |
| space_inputs['text'] = text | |
| result = client.predict( | |
| **space_inputs, | |
| api_name=api_name, | |
| fn_index=fn_index | |
| ) | |
| else: | |
| space_inputs[0] = text | |
| result = client.predict( | |
| *space_inputs, | |
| api_name=api_name, | |
| fn_index=fn_index | |
| ) | |
| print(result) | 
 
			
