From 0bc047429f8e187ea7b0b5a421c8fe5d98641a2d Mon Sep 17 00:00:00 2001 From: yumoqing Date: Wed, 23 Oct 2024 18:38:56 +0800 Subject: [PATCH] bugfix --- conf/config.json | 4 +-- f5tts.py | 77 ++++++++++++++++++++++++++++------------------ samples/test2.m4a | Bin 0 -> 33815 bytes samples/ttt.m4a | Bin 0 -> 33815 bytes samples/ttt.wav | Bin 0 -> 356396 bytes zmq_client.py | 3 +- 6 files changed, 51 insertions(+), 33 deletions(-) create mode 100644 samples/test2.m4a create mode 100644 samples/ttt.m4a create mode 100644 samples/ttt.wav diff --git a/conf/config.json b/conf/config.json index aabac6b..3e6156e 100644 --- a/conf/config.json +++ b/conf/config.json @@ -5,8 +5,8 @@ "remove_silence":false, "modelname":"F5-TTS", "device":"cuda:0", - "ref_audio_fn":"$[workdir]$/samples/test_zh_1_ref_short.wav", - "ref_text":"对,这就是我,万人敬仰的太乙真人。", + "ref_audio_fn":"$[workdir]$/samples/ttt.wav", + "ref_text":"快点吃饭,上课要迟到了。", "cross_fade_duration":0 } diff --git a/f5tts.py b/f5tts.py index 20a24a6..9349ffd 100644 --- a/f5tts.py +++ b/f5tts.py @@ -72,37 +72,39 @@ class F5TTS: ckpt_file = str(cached_path(f"hf://SWivid/{repo_name}/{exp_name}/model_{ckpt_step}.safetensors")) self.model = load_model(model_cls, model_cfg, ckpt_file, - self.config.vocab_file).to(self.config.device) + self.config.vocab_file) + self.model = self.model.to(self.config.device) def generate(self, d): msg= d.decode('utf-8') data = DictObject(**json.loads(msg)) print(data) t1 = time() - for wav in self.inference(data.prompt, stream=data.stream): - if data.stream: + if data.stream: + for wav in self.inference_stream(data.prompt, stream=data.stream): d = { "reqid":data.reqid, "b64wave":b64str(wav), "finish":False } self.replier.send(json.dumps(d)) - else: - t2 = time() - d = { - "reqid":data.reqid, - "audio_file":wav, - "time_cost":t2 - t1 - } - print(f'{d}') - return json.dumps(d) - t2 = time() - d = { - "reqid":data.reqid, - "time_cost":t2 - t1, - "finish":True - } - return json.dumps(d) + t2 = time() + d = { + "reqid":data.reqid, + "time_cost":t2 - t1, + "finish":True + } + return json.dumps(d) + else: + audio_fn = self.inference(data.prompt) + t2 = time() + d = { + "reqid":data.reqid, + "audio_file":audio_fn, + "time_cost":t2 - t1 + } + print(f'{d}') + return json.dumps(d) def setup_voice(self): main_voice = {"ref_audio": self.config.ref_audio_fn, @@ -121,8 +123,7 @@ class F5TTS: print("Ref_text:", voices[voice]["ref_text"]) self.voices = voices - - def inference(self, prompt): + def inference_stream(self, prompt): text_gen = prompt remove_silence = False generated_audio_segments = [] @@ -146,7 +147,25 @@ class F5TTS: print(f"Voice: {voice}, {self.model}") audio, final_sample_rate, spectragram = \ infer_process(ref_audio, ref_text, gen_text, self.model) - generated_audio_segments.append(audio) + yield { + 'audio':audio, + 'sample_rate':final_sample_rate, + 'spectragram':spectragram, + 'finish':False + } + yield { + 'finish':True + } + + def inference(self, prompt): + generated_audio_segments = [] + remove_silence = self.config.remove_silence or False + final_sample_rate = 24000 + for d in self.inference_stream(prompt): + if not d['finish']: + audio = d['audio'] + final_sample_rate = d['sample_rate'] + generated_audio_segments.append(audio) if generated_audio_segments: final_wave = np.concatenate(generated_audio_segments) @@ -158,13 +177,14 @@ class F5TTS: remove_silence_for_generated_wav(f.name) return fn - if __name__ == '__main__': - # workdir = os.getcwd() - # config = getConfig(workdir) + workdir = os.getcwd() + config = getConfig(workdir, {'workdir':workdir}) + print(config.ref_audio_fn) tts = F5TTS() print('here') - # tts.run() + tts.run() + """ while True: print('prompt:') p = input() @@ -173,7 +193,4 @@ if __name__ == '__main__': f = tts.inference(p) t2 = time() print(f'{f}, cost {t2-t1} seconds') - - - - + """ diff --git a/samples/test2.m4a b/samples/test2.m4a new file mode 100644 index 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a/zmq_client.py b/zmq_client.py index ed0179d..68fd131 100644 --- a/zmq_client.py +++ b/zmq_client.py @@ -1,3 +1,4 @@ +import sys import json import os @@ -9,7 +10,7 @@ from appPublic.uniqueID import getID zmq_url = "tcp://127.0.0.1:9999" from time import time -class ASRClient: +class F5TTSClient: def __init__(self, zmq_url): self.zmq_url = zmq_url self.requester = ZmqRequester(self.zmq_url)