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Update app.py
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app.py
CHANGED
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@@ -18,39 +18,37 @@ def translate(text_input, audio_input, source_lang, target_lang, auto_detect):
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translated_text = None
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translated_audio = None
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# If text is provided
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if text_input:
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inputs = processor(text=text_input, src_lang=src, return_tensors="pt").to(device)
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# Generate speech
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speech = model.generate(**inputs, tgt_lang=target_lang)[0].cpu().numpy().squeeze()
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# Generate text
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text_tokens = model.generate(**inputs, tgt_lang=target_lang, generate_speech=False)
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translated_text = processor.decode(text_tokens[0].tolist()
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translated_audio = (16000, speech)
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# If audio is provided
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elif audio_input:
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waveform, sr = torchaudio.load(audio_input)
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waveform = torchaudio.functional.resample(waveform, sr, 16000)
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inputs = processor(audios=waveform, src_lang=src, return_tensors="pt").to(device)
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# Generate speech
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speech = model.generate(**inputs, tgt_lang=target_lang)[0].cpu().numpy().squeeze()
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# Generate text
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text_tokens = model.generate(**inputs, tgt_lang=target_lang, generate_speech=False)
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translated_text = processor.decode(text_tokens[0].tolist()
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translated_audio = (16000, speech)
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if translated_text or translated_audio:
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return translated_text or "", translated_audio
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return "No input provided.", None
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# Gradio
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iface = gr.Interface(
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fn=translate,
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inputs=[
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@@ -67,6 +65,6 @@ iface = gr.Interface(
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title="iVoice Translate (Text + Speech)"
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).queue()
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# Launch
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if __name__ == "__main__":
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translated_text = None
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translated_audio = None
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# If text input is provided
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if text_input:
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inputs = processor(text=text_input, src_lang=src, return_tensors="pt").to(device)
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# Generate translated speech
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speech = model.generate(**inputs, tgt_lang=target_lang)[0].cpu().numpy().squeeze()
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translated_audio = (16000, speech)
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# Generate translated text
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text_tokens = model.generate(**inputs, tgt_lang=target_lang, generate_speech=False)
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translated_text = processor.decode(text_tokens[0].tolist(), skip_special_tokens=True)
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# If audio input is provided
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elif audio_input:
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waveform, sr = torchaudio.load(audio_input)
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waveform = torchaudio.functional.resample(waveform, sr, 16000)
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inputs = processor(audios=waveform, src_lang=src, return_tensors="pt").to(device)
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# Generate translated speech
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speech = model.generate(**inputs, tgt_lang=target_lang)[0].cpu().numpy().squeeze()
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translated_audio = (16000, speech)
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# Generate translated text
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text_tokens = model.generate(**inputs, tgt_lang=target_lang, generate_speech=False)
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translated_text = processor.decode(text_tokens[0].tolist(), skip_special_tokens=True)
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if translated_text or translated_audio:
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return translated_text or "", translated_audio
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return "No input provided.", None
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# Gradio Interface
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iface = gr.Interface(
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fn=translate,
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inputs=[
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title="iVoice Translate (Text + Speech)"
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).queue()
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# Launch app
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if __name__ == "__main__":
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iface.launch(server_name="0.0.0.0", share=True, server_port=int(os.environ.get("PORT", 7860)))
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