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import gradio as gr
from gtts import gTTS
from pydub import AudioSegment
import numpy as np
import os
def text_to_speech(prompt):
# gTTS๋ฅผ ์ด์ฉํด Bulgarian ํ
์คํธ๋ฅผ ์์ฑ์ผ๋ก ๋ณํ
tts = gTTS(text=prompt, lang="bg")
audio_file = "output.mp3"
tts.save(audio_file)
# pydub์ผ๋ก mp3 ํ์ผ ๋ถ๋ฌ์ค๊ธฐ
sound = AudioSegment.from_mp3(audio_file)
# pydub๊ฐ ์ ๊ณตํ๋ raw ๋ฐ์ดํฐ๋ฅผ NumPy ๋ฐฐ์ด๋ก ๋ณํ (int16)
samples = np.array(sound.get_array_of_samples())
# ๋ง์ฝ ์คํ
๋ ์ค๋ผ๋ฉด ๋ชจ๋
ธ๋ก ๋ณํ (์ฑ๋ ํ๊ท )
if sound.channels > 1:
samples = samples.reshape((-1, sound.channels))
samples = samples.mean(axis=1)
# int16 ๋ฐ์ดํฐ๋ฅผ float32๋ก ์ ๊ทํ (๋ฒ์: [-1.0, 1.0])
samples = samples.astype(np.float32) / 32768.0
sample_rate = sound.frame_rate
# ์์ ํ์ผ ์ญ์
os.remove(audio_file)
return samples, sample_rate
with gr.Blocks() as demo:
gr.Markdown("## Bulgarian Text-to-Speech (TTS)")
input_prompt = gr.Textbox(label="Enter a prompt in Bulgarian:")
output_audio = gr.Audio(label="Generated Speech", type="numpy")
generate_button = gr.Button("Generate Speech")
generate_button.click(text_to_speech, inputs=input_prompt, outputs=output_audio)
demo.launch()
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