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+dotenv.load_dotenv() + + +class InputType(BaseModel): + the_model_name: str = Field(alias="model_name") + prompt_name: str + text: str + text_language: str = "auto" + top_k: int = 5 + top_p: float = 1 + temperature: float = 1 + use_stream: bool = False + + +interface = GPTSoVITSInterfaceSimple( + config_data_base=os.getenv("GPT_SOVITS_CONFIG", ""), +) + + +def _encode_string(sr: int, data: np.ndarray) -> bytes: + audio = AudioSegment( + data=data.tobytes(), + sample_width=data.dtype.itemsize, + frame_rate=sr, + channels=1, + ) + with io.BytesIO() as in_memory_file: + audio.export( + in_memory_file, + format="ogg", + codec="opus", + parameters=["-strict", "-2", "-vbr", "3"], + ) + bytes_data = in_memory_file.read() + print(len(bytes_data)) + return base64.standard_b64encode(gzip.compress(bytes_data)) + + +def handler_fn(job): + input_val = InputType.model_validate(job["input"]) + if input_val.use_stream: + for sr, data in interface.generate_stream( + input_val.the_model_name, + input_val.prompt_name, + input_val.text, + text_language=input_val.text_language, + top_k=input_val.top_k, + top_p=input_val.top_p, + temperature=input_val.temperature, + ): + yield { + "data": _encode_string(sr, data), + } + else: + sr, data = interface.generate( + input_val.the_model_name, + input_val.prompt_name, + input_val.text, + text_language=input_val.text_language, + top_k=input_val.top_k, + top_p=input_val.top_p, + temperature=input_val.temperature, + ) + yield { + "data": _encode_string(sr, data), + } + + +runpod.serverless.start( + { + "handler": handler_fn, + "return_aggregate_stream": True, + "concurrency_modifier": lambda x: 1, + } +) diff --git a/src/gpt_sovits/infer/interface.py b/src/gpt_sovits/infer/interface.py index 64a80749..cc93fc93 100644 --- a/src/gpt_sovits/infer/interface.py +++ b/src/gpt_sovits/infer/interface.py @@ -97,7 +97,7 @@ def _load_things(self, model_name: str, prompt: PromptType): self._load_model(model_name) self.working_model = model_name if isinstance(prompt, str): - if prompt != self.working_model: + if prompt != self.working_prompt: self._load_prompt(prompt) self.working_prompt = prompt else: