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import base64
import time
import wave
import ormsgpack
import pyaudio
import requests
from pydub import AudioSegment
from pydub.playback import play
from fish_speech.utils.file import audio_to_bytes, read_ref_text
from fish_speech.utils.schema import ServeReferenceAudio, ServeTTSRequest
def parse_args():
parser = argparse.ArgumentParser(
description="Send text to a Fish Speech TTS server and receive synthesized audio.",
epilog=(
"Model selection note:\n"
" The base TTS model is selected by the server you call. For example, if the\n"
" server was started with checkpoints/s2-pro, this client will use S2-Pro\n"
" automatically. There is no separate per-request --model flag.\n\n"
"Examples:\n"
' python tools/api_client.py -u http://127.0.0.1:8080/v1/tts -t "Hello from Fish Speech"\n'
' python tools/api_client.py -u http://127.0.0.1:8080/v1/tts -t "Hello" --reference_id my-speaker'
),
formatter_class=argparse.RawTextHelpFormatter,
)
parser.add_argument(
"--url",
"-u",
type=str,
default="http://127.0.0.1:8080/v1/tts",
help="URL of the TTS server. The server decides which base model is loaded.",
)
parser.add_argument(
"--text", "-t", type=str, required=True, help="Text to be synthesized"
)
parser.add_argument(
"--reference_id",
"-id",
type=str,
default=None,
help="ID of the reference voice to use for synthesis\n(Local: name of folder containing audios and files)",
)
parser.add_argument(
"--reference_audio",
"-ra",
type=str,
nargs="+",
default=None,
help="Path to the audio file",
)
parser.add_argument(
"--reference_text",
"-rt",
type=str,
nargs="+",
default=None,
help="Reference text for voice synthesis",
)
parser.add_argument(
"--output",
"-o",
type=str,
default="generated_audio",
help="Output audio file name",
)
parser.add_argument(
"--play",
action=argparse.BooleanOptionalAction,
default=True,
help="Whether to play audio after receiving data",
)
parser.add_argument(
"--format", type=str, choices=["wav", "pcm", "mp3", "opus"], default="wav"
)
parser.add_argument(
"--latency",
type=str,
default="normal",
choices=["normal", "balanced"],
help="Used in api.fish.audio/v1/tts",
)
parser.add_argument(
"--max_new_tokens",
type=int,
default=1024,
help="Maximum new tokens to generate. \n0 means no limit.",
)
parser.add_argument(
"--chunk_length", type=int, default=300, help="Chunk length for synthesis"
)
parser.add_argument(
"--top_p", type=float, default=0.8, help="Top-p sampling for synthesis"
)
parser.add_argument(
"--repetition_penalty",
type=float,
default=1.1,
help="Repetition penalty for synthesis",
)
parser.add_argument(
"--temperature", type=float, default=0.8, help="Temperature for sampling"
)
# parser.add_argument("--streaming", type=bool, default=False, help="Enable streaming response")
parser.add_argument(
"--streaming", action="store_true", help="Enable streaming response"
)
parser.add_argument(
"--channels", type=int, default=1, help="Number of audio channels"
)
parser.add_argument("--rate", type=int, default=44100, help="Sample rate for audio")
parser.add_argument(
"--use_memory_cache",
type=str,
default="off",
choices=["on", "off"],
help="Cache encoded references codes in memory.\n",
)
parser.add_argument(
"--seed",
type=int,
default=None,
help="`None` means randomized inference, otherwise deterministic.\nIt can't be used for fixing a timbre.",
)
parser.add_argument(
"--api_key",
type=str,
default="YOUR_API_KEY",
help="API key for authentication",
)
return parser.parse_args()
if __name__ == "__main__":
args = parse_args()
idstr: str | None = args.reference_id
# priority: ref_id > [{text, audio},...]
if idstr is None:
ref_audios = args.reference_audio
ref_texts = args.reference_text
if ref_audios is None:
byte_audios = []
else:
byte_audios = [audio_to_bytes(ref_audio) for ref_audio in ref_audios]
if ref_texts is None:
ref_texts = []
else:
ref_texts = [read_ref_text(ref_text) for ref_text in ref_texts]
else:
byte_audios = []
ref_texts = []
pass # in api.py
data = {
"text": args.text,
"references": [
ServeReferenceAudio(
audio=ref_audio if ref_audio is not None else b"", text=ref_text
)
for ref_text, ref_audio in zip(ref_texts, byte_audios)
],
"reference_id": idstr,
"format": args.format,
"latency": args.latency,
"max_new_tokens": args.max_new_tokens,
"chunk_length": args.chunk_length,
"top_p": args.top_p,
"repetition_penalty": args.repetition_penalty,
"temperature": args.temperature,
"streaming": args.streaming,
"use_memory_cache": args.use_memory_cache,
"seed": args.seed,
}
pydantic_data = ServeTTSRequest(**data)
print("Sending request")
start_time = time.time()
response = requests.post(
args.url,
params={"format": "msgpack"},
data=ormsgpack.packb(pydantic_data, option=ormsgpack.OPT_SERIALIZE_PYDANTIC),
stream=args.streaming,
headers={
"authorization": f"Bearer {args.api_key}",
"content-type": "application/msgpack",
},
)
end_time = time.time()
print(f"Request took {end_time - start_time} seconds")
if response.status_code == 200:
if args.streaming:
p = pyaudio.PyAudio()
audio_format = pyaudio.paInt16 # Assuming 16-bit PCM format
stream = p.open(
format=audio_format, channels=args.channels, rate=args.rate, output=True
)
wf = wave.open(f"{args.output}.wav", "wb")
wf.setnchannels(args.channels)
wf.setsampwidth(p.get_sample_size(audio_format))
wf.setframerate(args.rate)
stream_stopped_flag = False
try:
for chunk in response.iter_content(chunk_size=1024):
if chunk:
stream.write(chunk)
wf.writeframesraw(chunk)
else:
if not stream_stopped_flag:
stream.stop_stream()
stream_stopped_flag = True
finally:
stream.close()
p.terminate()
wf.close()
else:
audio_content = response.content
audio_path = f"{args.output}.{args.format}"
with open(audio_path, "wb") as audio_file:
audio_file.write(audio_content)
audio = AudioSegment.from_file(audio_path, format=args.format)
if args.play:
play(audio)
print(f"Audio has been saved to '{audio_path}'.")
else:
print(f"Request failed with status code {response.status_code}")
print(response.json())
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