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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()
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