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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):
try:
# 1) gTTS๋ก mp3 ์์ฑ
tts = gTTS(text=prompt, lang="bg")
audio_file = "output.mp3"
tts.save(audio_file)
except Exception as e:
print("gTTS ์์ฑ ์ค๋ฅ:", e)
raise e # ์๋ฌ๋ฅผ ๋ค์ ๋ฐ์์์ผ Gradio์์ ๊ฐ์งํ๋๋ก ํจ
try:
# 2) mp3 -> numpy ๋ณํ (pydub ์ฌ์ฉ)
sound = AudioSegment.from_mp3(audio_file)
samples = np.array(sound.get_array_of_samples())
# ์คํ
๋ ์ค๋ฉด ๋ชจ๋
ธ๋ก ๋ณํ
if sound.channels > 1:
samples = samples.reshape((-1, sound.channels))
samples = samples.mean(axis=1)
# int16 -> float32 ์ ๊ทํ
samples = samples.astype(np.float32) / 32768.0
sample_rate = sound.frame_rate
except Exception as e:
print("pydub ๋ก๋ฉ/์ฒ๋ฆฌ ์ค๋ฅ:", e)
raise e
finally:
if os.path.exists(audio_file):
os.remove(audio_file)
return samples, sample_rate
with gr.Blocks() as demo:
gr.Markdown("## Bulgarian Text-to-Speech (TTS)")
with gr.Row():
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)
if __name__ == "__main__":
demo.launch()
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