Spaces:
Build error
Build error
File size: 2,665 Bytes
ea9036c 7d0bff2 ebe9cbe 7d0bff2 ea9036c ebe9cbe ea9036c 7d0bff2 ebe9cbe 7d0bff2 ebe9cbe 7d0bff2 ebe9cbe 7d0bff2 ea9036c ebe9cbe 7d0bff2 ebe9cbe 7d0bff2 ea9036c 7d0bff2 ea9036c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 |
from subprocess import call
import gradio as gr
import os
from TTS.api import TTS
# List available 🐸TTS models and choose the first one
all_models = TTS.list_models()
# for model in all_models:
# print(model)
# print("Using model: ", all_models[0])
model = all_models[0]
# Init TTS
print("Downloading model...", '')
voiceCloneModel = TTS('tts_models/multilingual/multi-dataset/your_tts')
# tts = TTS("tts_models/de/thorsten/tacotron2-DDC")
def run_cmd(command):
try:
print(command)
call(command)
except KeyboardInterrupt:
print("Process interrupted")
sys.exit(1)
def inference(text, speaker):
if (speaker == 'Speaker-1'):
speaker = 'input/amitabh.mp3'
elif (speaker == 'Speaker-2'):
speaker = 'input/amrish.mp3'
elif (speaker == 'Speaker-3'):
speaker = 'input/obama.mp3'
elif (speaker == 'Speaker-4'):
speaker = 'input/trump.wav'
elif (speaker == 'Rock'):
speaker = 'input/sample/Dwayne-Johnson-sample.wav'
elif (speaker == 'Elon'):
speaker = 'input/sample/Elon-Sample.wav'
elif (speaker == 'Obama'):
speaker = 'input/sample/Obama-sample.wav'
else:
speaker = 'input/z-default.wav'
# print("speaker: ", speaker)
# cmd = ['tts', '--text', text, '--out_path', 'output/tts_output.wav']
# run_cmd(cmd)
# Text to speech to a file
# tts = TTS(model="tts_models/multilingual/multi-dataset/your_tts",
# progress_bar=False, gpu=True)
voiceCloneModel.tts_to_file(text, speaker_wav=speaker,
language="en", file_path="output/output.wav")
# for i in range(len(model.languages)):
# model.tts_to_file(text=text,
# speaker=model.speakers[i], language=model.languages[0], file_path='output/output-'+str(i)+'.wav')
return 'output/output.wav'
sampleInput = ['Speaker-1', 'Speaker-2', 'Speaker-3',
'Speaker-4', 'Rock', 'Elon', 'Obama']
inputs = [gr.inputs.Textbox(lines=5, label="Input Text"),
gr.inputs.Dropdown(
sampleInput, label="Sample Input", default="Speaker-1",)
]
outputs = gr.outputs.Audio(type="filepath", label="Output Audio")
title = "Text To Speech"
description = "An example of using TTS to generate speech from text."
article = ""
examples = [
["This is an open-source library that generates synthetic speech"]
]
gr.Interface(
inference,
inputs,
outputs,
verbose=True,
title=title,
description=description,
article=article,
examples=examples,
enable_queue=True,
allow_flagging="never",
).launch(debug=True)
|