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import gradio as gr | |
import torch | |
from coqui_tts import TTS | |
from coqui_tts.utils import audio | |
# Load the Coqui TTS model and configuration | |
model_path = "best_model.pth" # Directory where the model is saved | |
config_path = "config.json" | |
# Initialize TTS with your model and configuration | |
tts = TTS(model_path=model_path, config_path=config_path) | |
def generate_speech(text): | |
# Generate speech using the model | |
audio_path = tts.tts_to_file(text, "output.wav") | |
# Load the generated audio file | |
with open(audio_path, "rb") as f: | |
audio_data = f.read() | |
return audio_data | |
# Define the Gradio interface | |
iface = gr.Interface( | |
fn=generate_speech, | |
inputs=gr.Textbox(lines=2, placeholder="Enter text here..."), | |
outputs=gr.Audio(type="file"), | |
title="Text-to-Speech with Coqui TTS", | |
description="Generate speech from text using a custom Coqui TTS model." | |
) | |
if __name__ == "__main__": | |
iface.launch() | |