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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"
},
"English": {
"Ryan": "en-GB-RyanNeural",
"Clara": "en-CA-ClaraNeural"
}
}
async def text_to_speech_edge(text, language, speaker):
voice = language_dict[language][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 = "α΅α
α°α΅: αα α αααα’ α₯α£αα α₯αα°αα αααα©α’ (Timeout)" if language == "Amharic" else "Error: Timeout. Please try again."
raise gr.Error(error_msg)
except Exception as e:
error_msg = f"α΅α
α°α΅: α΅αα
ααα α α αα°α»ααα’\nError: {str(e)}" if language == "Amharic" else f"Error: Failed to generate audio.\nDetails: {str(e)}"
raise gr.Error(error_msg)
def update_speakers(language):
speakers = list(language_dict[language].keys())
return gr.Dropdown(choices=speakers, value=speakers[0])
with gr.Blocks(title="Amharic & English TTS") 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;
}
.gradio-button {
background: linear-gradient(45deg, #FF007F, #2E86C1) !important;
color: white !important;
}
.gradio-textbox, .gradio-dropdown {
border-color: #2E86C1 !important;
}
</style>
<center><h1>Amharic & English Text-to-Speech</h1></center>
""")
with gr.Row():
with gr.Column():
language = gr.Dropdown(
choices=["Amharic", "English"],
value="Amharic",
label="Select Language / ααα ααα¨α‘"
)
input_text = gr.Textbox(
lines=5,
label="Enter Text / α½αα α«α΅αα‘",
placeholder="Type your text here... / α½αααα αα»α..."
)
speaker = gr.Dropdown(
choices=["Ameha", "Mekdes"],
value="Ameha",
label="Select Speaker / α αα²α΅α΅ ααα¨α‘"
)
run_btn = gr.Button(value="Generate Audio / α΅αα
αα α", variant="primary")
with gr.Column():
output_audio = gr.Audio(
type="filepath",
label="Generated Audio / α¨α°αα α¨ α΅αα
"
)
language.change(
update_speakers,
inputs=language,
outputs=speaker
)
run_btn.click(
text_to_speech_edge,
inputs=[input_text, language, speaker],
outputs=output_audio
)
if __name__ == "__main__":
demo.launch(server_port=7860, share=False) |