amharic-tts / app.py
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import tempfile
import edge_tts
import gradio as gr
import asyncio
language_dict = {
"Amharic": {
"Ameha": "am-ET-AmehaNeural",
"Mekdes": "am-ET-MekdesNeural"
}
}
async def text_to_speech_edge(text, speaker):
voice = language_dict["Amharic"][speaker]
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=30)
return tmp_path
except asyncio.TimeoutError:
error_msg = "αˆ΅αˆ…α‰°α‰΅: αŒŠα‹œ αŠ αˆα‰‹αˆα’ αŠ₯α‰£αŠ­α‹Ž αŠ₯αŠ•α‹°αŒˆαŠ“ α‹­αˆžαŠ­αˆ©α’ (Timeout)"
raise gr.Error(error_msg)
except Exception as e:
error_msg = f"αˆ΅αˆ…α‰°α‰΅: α‹΅αˆα… መፍጠር αŠ αˆα‰°α‰»αˆˆαˆα’\nError: {str(e)}"
raise gr.Error(error_msg)
with gr.Blocks(title="Amharic TTS", theme=gr.themes.Soft()) as demo:
gr.HTML("""
<style>
h1 {
color: #2E86C1;
text-align: center;
background: linear-gradient(45deg, #FF007F, #2E86C1);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
margin-bottom: 30px;
font-size: 2.5em;
}
.gradio-container {
background: #f8f9fa !important;
}
.gradio-button {
background: linear-gradient(45deg, #FF007F, #2E86C1) !important;
color: white !important;
border-radius: 8px !important;
padding: 12px 24px !important;
}
.gradio-textbox, .gradio-dropdown {
border-color: #2E86C1 !important;
border-radius: 8px !important;
padding: 12px !important;
}
.gradio-label {
color: #2E86C1 !important;
font-weight: 600 !important;
}
.prose {
max-width: 800px;
margin: 0 auto;
}
.gradio-row {
gap: 20px;
}
</style>
<center>
<h1>α‹¨αŠ αˆ›αˆ­αŠ› αŒ½αˆ‘α α‹ˆα‹° α‹΅αˆα… α‰€α‹­αˆ­</h1>
</center>
""")
with gr.Row():
with gr.Column(scale=1):
input_text = gr.Textbox(
lines=5,
label="αŒ½αˆ‘α α‹«αˆ΅αŒˆα‰‘",
placeholder="α‹΅αˆα… ለመፍጠር αŒ½αˆ‘αα‹ŽαŠ• α‹­αŒ»α‰..."
)
speaker = gr.Dropdown(
choices=["Ameha", "Mekdes"],
value="Ameha",
label="α‹΅αˆααŠ• α‹¨αˆšα‹«αˆ°αˆ› αŠ αˆ­α‰²αˆ΅α‰΅"
)
run_btn = gr.Button(
value="α‹΅αˆα… ፍጠር",
variant="primary",
scale=1
)
with gr.Column(scale=1):
output_audio = gr.Audio(
type="filepath",
label="α‹¨α‰°αˆαŒ αˆ¨ α‹΅αˆα…",
elem_classes="output-audio"
)
run_btn.click(
text_to_speech_edge,
inputs=[input_text, speaker],
outputs=output_audio
)
if __name__ == "__main__":
demo.launch(server_port=7860, share=False)