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import gradio as gr | |
import os | |
import torch | |
import soundfile as sf | |
import torchaudio | |
from scipy.io.wavfile import write | |
from transformers import VitsProcessor, VitsForConditionalGeneration | |
from speechbrain.pretrained import EncoderClassifier, EncoderDecoderASR | |
# Ensure the output directory exists | |
os.makedirs("output_audio", exist_ok=True) | |
# Load the Facebook MMS TTS model and processor | |
tts_processor = VitsProcessor.from_pretrained("facebook/mms-tts-eng") | |
tts_model = VitsForConditionalGeneration.from_pretrained("facebook/mms-tts-eng") | |
# SpeechBrain ASR Model for Speech to Text | |
asr_model = EncoderDecoderASR.from_hparams(source="speechbrain/asr-conformer-transformerlm-librispeech", savedir="models/asr") | |
def speech_to_text(input_audio): | |
sig, sr = torchaudio.load(input_audio) | |
if sr != 16000: | |
sig = torchaudio.transforms.Resample(orig_freq=sr, new_freq=16000)(sig) | |
transcription = asr_model.transcribe_file(input_audio) | |
return transcription | |
def text_to_speech(text): | |
inputs = tts_processor(text, return_tensors="pt") | |
with torch.no_grad(): | |
generated = tts_model.generate(**inputs) | |
waveform = generated.audio.squeeze().cpu().numpy() | |
output_path = "output_audio/text_to_speech.wav" | |
sf.write(output_path, waveform, 22050) | |
return output_path | |
def speech_to_speech(input_audio, target_text): | |
# Speech to Text | |
transcription = speech_to_text(input_audio) | |
# Text to Speech with Facebook MMS TTS | |
return text_to_speech(target_text) | |
iface = gr.Interface( | |
fn={ | |
"Speech to Text": speech_to_text, | |
"Text to Speech": text_to_speech, | |
"Speech to Speech": speech_to_speech | |
}, | |
inputs={ | |
"Speech to Text": gr.inputs.Audio(source="upload", type="file"), | |
"Text to Speech": gr.inputs.Textbox(label="Text"), | |
"Speech to Speech": [gr.inputs.Audio(source="upload", type="file"), gr.inputs.Textbox(label="Target Text")] | |
}, | |
outputs={ | |
"Speech to Text": gr.outputs.Textbox(label="Transcription"), | |
"Text to Speech": gr.outputs.Audio(type="file", label="Synthesized Speech"), | |
"Speech to Speech": gr.outputs.Audio(type="file", label="Synthesized Speech") | |
}, | |
title="Speech Processing App", | |
description="This app uses SpeechBrain for speech to text and Facebook's MMS for text to speech.", | |
layout="vertical" | |
) | |
if __name__ == "__main__": | |
iface.launch() | |