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from gradio_client import Client, file | |
import json | |
async def test(): | |
client = Client("fishaudio/fish-speech-1") | |
result = client.predict( | |
text="Hello!!", | |
enable_reference_audio=False, | |
reference_audio=file('https://github.com/gradio-app/gradio/raw/main/test/test_files/audio_sample.wav'), | |
reference_text="", | |
max_new_tokens=0, | |
chunk_length=200, | |
top_p=0.7, | |
repetition_penalty=1.2, | |
temperature=0.7, | |
batch_infer_num=1, | |
if_load_asr_model=False, | |
api_name="/inference_wrapper" | |
) | |
return repr(json.dumps(result)) | |