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import gradio as gr |
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from gradio_client import Client, handle_file |
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def egyptian_tts(text, speaker_audio, temperature): |
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client = Client("MohamedRashad/Egyptian-Arabic-TTS") |
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result = client.predict( |
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text=text, |
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speaker_audio_path=handle_file(speaker_audio), |
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temperature=temperature, |
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api_name="/infer_EGTTS" |
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) |
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return result |
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iface = gr.Interface( |
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fn=egyptian_tts, |
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inputs=[ |
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gr.Textbox(label="النص المراد تحويله إلى صوت"), |
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gr.Audio(type="filepath", label="رفع عينة صوتية للمتحدث"), |
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gr.Slider(minimum=0.1, maximum=1.0, value=0.75, label="درجة العشوائية") |
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], |
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outputs=gr.Audio(label="الصوت الناتج"), |
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title="نسخ الصوت بالذكاء الاصطناعي", |
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description="" |
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) |
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iface.launch() |
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