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import tempfile
import edge_tts
import gradio as gr
import asyncio
# --- Final, VERIFIED Language & Voice Configuration ---
language_dict = {
"English": {
"Jenny (Female, US)": "en-US-JennyNeural",
"Andrew (Male, US)": "en-US-AndrewNeural",
"Sonia (Female, UK)": "en-GB-SoniaNeural",
"Ryan (Male, UK)": "en-GB-RyanNeural"
},
"Amharic": {
"Mekdes (Female)": "am-ET-MekdesNeural",
"Ameha (Male)": "am-ET-AmehaNeural"
},
"Tigrinya": {
# WORKAROUND: Using Amharic voices as a fallback for Tigrinya.
"Lulia (Female)": "am-ET-MekdesNeural",
"Birhane (Male)": "am-ET-AmehaNeural"
},
"Oromo": {
# This is a mock-up. It uses Swahili voices as a fallback.
"Zuri (Female)": "sw-KE-ZuriNeural",
"Rafiki (Male)": "sw-KE-RafikiNeural"
},
"Somali": {
"Ubax (Female)": "so-SO-UbaxNeural",
"Muuse (Male)": "so-SO-MuuseNeural"
},
"Arabic": {
"Zariyah (Female, KSA)": "ar-SA-ZariyahNeural",
"Hamed (Male, KSA)": "ar-SA-HamedNeural"
},
"French": {
"Denise (Female)": "fr-FR-DeniseNeural",
"Henri (Male)": "fr-FR-HenriNeural"
},
"German": {
"Katja (Female)": "de-DE-KatjaNeural",
"Conrad (Male)": "de-DE-ConradNeural"
},
"Italian": {
"Elsa (Female)": "it-IT-ElsaNeural",
"Diego (Male)": "it-IT-DiegoNeural"
},
"Japanese": {
"Nanami (Female)": "ja-JP-NanamiNeural",
"Keita (Male)": "ja-JP-KeitaNeural"
},
"Korean": {
"Sun-Hi (Female)": "ko-KR-SunHiNeural",
"InJoon (Male)": "ko-KR-InJoonNeural"
},
"Chinese (Simplified)": {
"Xiaoxiao (Female)": "zh-CN-XiaoxiaoNeural",
"Yunxi (Male)": "zh-CN-YunxiNeural"
},
"Chinese (Traditional)": {
"HsiaoChen (Female)": "zh-TW-HsiaoChenNeural",
"YunJhe (Male)": "zh-TW-YunJheNeural"
}
}
async def text_to_speech_edge(text, language, speaker):
try:
voice = language_dict[language][speaker]
except KeyError:
raise gr.Error(f"Error: Voice '{speaker}' not found for {language}.")
try:
communicate = edge_tts.Communicate(text, voice)
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
tmp_path = tmp_file.name
await asyncio.wait_for(communicate.save(tmp_path), timeout=60)
return tmp_path
except asyncio.TimeoutError:
raise gr.Error("Error: Request timed out. Please try again.")
except Exception as e:
raise gr.Error(f"An unexpected error occurred: {str(e)}")
def update_speakers(language):
speakers = list(language_dict.get(language, []))
return gr.Dropdown(choices=speakers, value=speakers[0] if speakers else None, interactive=True)
# --- Gradio Interface ---
with gr.Blocks(title="SelamGPT TTS", theme=gr.themes.Soft()) as demo:
gr.Markdown("# SelamGPT Text-to-Speech")
with gr.Row():
language = gr.Dropdown(
choices=list(language_dict.keys()),
value="Amharic",
label="Language"
)
speaker = gr.Dropdown(
label="Speaker",
choices=list(language_dict["Amharic"].keys()),
value="Mekdes (Female)"
)
with gr.Column():
input_text = gr.Textbox(label="Input Text", placeholder="Enter text here...")
generate_btn = gr.Button("Generate Audio", variant="primary")
output_audio = gr.Audio(label="Output Audio", autoplay=True)
language.change(fn=update_speakers, inputs=language, outputs=speaker)
generate_btn.click(fn=text_to_speech_edge, inputs=[input_text, language, speaker], outputs=output_audio)
if __name__ == "__main__":
demo.launch() |