mirror of
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95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from typing import Annotated, Literal
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from abc import ABC
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import httpx
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import ormsgpack
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from pydantic import BaseModel, conint
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from rag.utils import num_tokens_from_string
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import json
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class ServeReferenceAudio(BaseModel):
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audio: bytes
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text: str
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class ServeTTSRequest(BaseModel):
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text: str
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chunk_length: Annotated[int, conint(ge=100, le=300, strict=True)] = 200
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# Audio format
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format: Literal["wav", "pcm", "mp3"] = "mp3"
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mp3_bitrate: Literal[64, 128, 192] = 128
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# References audios for in-context learning
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references: list[ServeReferenceAudio] = []
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# Reference id
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# For example, if you want use https://fish.audio/m/7f92f8afb8ec43bf81429cc1c9199cb1/
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# Just pass 7f92f8afb8ec43bf81429cc1c9199cb1
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reference_id: str | None = None
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# Normalize text for en & zh, this increase stability for numbers
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normalize: bool = True
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# Balance mode will reduce latency to 300ms, but may decrease stability
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latency: Literal["normal", "balanced"] = "normal"
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class Base(ABC):
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def __init__(self, key, model_name, base_url):
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pass
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def transcription(self, audio):
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pass
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class FishAudioTTS(Base):
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def __init__(self, key, model_name, base_url="https://api.fish.audio/v1/tts"):
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if not base_url:
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base_url = "https://api.fish.audio/v1/tts"
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key = json.loads(key)
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self.headers = {
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"api-key": key.get("fish_audio_ak"),
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"content-type": "application/msgpack",
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}
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self.ref_id = key.get("fish_audio_refid")
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self.base_url = base_url
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def transcription(self, text):
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from http import HTTPStatus
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request = request = ServeTTSRequest(text=text, reference_id=self.ref_id)
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with httpx.Client() as client:
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try:
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with client.stream(
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method="POST",
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url=self.base_url,
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content=ormsgpack.packb(
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request, option=ormsgpack.OPT_SERIALIZE_PYDANTIC
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),
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headers=self.headers,
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timeout=None,
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) as response:
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if response.status_code == HTTPStatus.OK:
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for chunk in response.iter_bytes():
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yield chunk
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else:
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response.raise_for_status()
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yield num_tokens_from_string(text)
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except httpx.HTTPStatusError as e:
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raise RuntimeError(f"**ERROR**: {e}")
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