import ChatTTSfrom IPython.display import Audiochat = ChatTTS.Chat()chat.load_models(compile=False) # Set to True for better performancetexts = ["PUT YOUR TEXT HERE",]wavs = chat.infer(texts, )torchaudio.save("output1.wav", torch.from_numpy(wavs[0]), 24000)

#################################### Sample a speaker from Gaussian.rand_spk = chat.sample_random_speaker()params_infer_code = {'spk_emb': rand_spk, # add sampled speaker'temperature': .3, # using custom temperature'top_P': 0.7, # top P decode'top_K': 20, # top K decode}#################################### For sentence level manual control.# use oral_(0-9), laugh_(0-2), break_(0-7)# to generate special token in text to synthesize.params_refine_text = {'prompt': '[oral_2][laugh_0][break_6]'}wav = chat.infer(texts, params_refine_text=params_refine_text, params_infer_code=params_infer_code)#################################### For word level manual control.text = 'What is [uv_break]your favorite english food?[laugh][lbreak]'wav = chat.infer(text, skip_refine_text=True, params_refine_text=params_refine_text, params_infer_code=params_infer_code)torchaudio.save("output2.wav", torch.from_numpy(wavs[0]), 24000)https://colab.research.google.com/github/Kedreamix/ChatTTS/blob/main/ChatTTS_infer.ipynb#scrollTo=_xrONBIj9oxo