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Create app.py
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app.py
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import gradio as gr
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from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor
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import torch
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import soundfile as sf
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import tempfile
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model_id = "jellecali8/somali_tts_model"
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processor = AutoProcessor.from_pretrained(model_id)
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model = AutoModelForSpeechSeq2Seq.from_pretrained(model_id)
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def tts(text):
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inputs = processor(text, return_tensors="pt")
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with torch.no_grad():
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outputs = model.generate(**inputs)
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audio = outputs[0].cpu().numpy()
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with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
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sf.write(f.name, audio, samplerate=16000)
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return f.name
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iface = gr.Interface(
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fn=tts,
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inputs=gr.Textbox(lines=2, placeholder="Ku qor qoraalka Somali halkan...", label="Qoraalka Somali"),
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outputs=gr.Audio(label="Codka la soo saaray"),
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title="Somali TTS Demo",
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description="Qoraal ku qor af-Soomaali kadib dhageyso codka."
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)
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iface.launch()
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