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Update app.py
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app.py
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# Text β Translate β Speech
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import tempfile
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from pathlib import Path
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import torch
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import TTS.utils.radam as tts_radam
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from transformers import pipeline
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from TTS.api import TTS
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import gradio as gr
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#
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#
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#
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torch.serialization.add_safe_globals({tts_radam.RAdam}) # β must pass the class object
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# βββββββββββββββββββββββββββββ
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# 2. Translation pipelines
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# βββββββββββββββββββββββββββββ
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PIPE_EN_ES = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es", device=-1)
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PIPE_ES_EN = pipeline("translation", model="Helsinki-NLP/opus-mt-es-en", device=-1)
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#
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#
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#
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TTS_EN = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False)
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TTS_ES = TTS(model_name="tts_models/es/mai/tacotron2-DDC", progress_bar=False)
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#
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#
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#
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def
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with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
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return str(
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#
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#
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#
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def translate_and_speak(
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if not
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return "", None
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if
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translated = PIPE_EN_ES(
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else:
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translated = PIPE_ES_EN(
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return translated,
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#
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#
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#
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with gr.Blocks(title="Translator & TTS") as demo:
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gr.Markdown(
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"# ππ¬ Text β Translate β Speech\n"
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"Type a sentence, choose the target language,
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)
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sentence = gr.Textbox(label="Sentence (English or Spanish)", lines=2)
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0")
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# Text β Translate β Speech | CPU-only Hugging-Face Space
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import tempfile
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from pathlib import Path
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from transformers import pipeline
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from TTS.api import TTS
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import gradio as gr
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# ββββββββββββββββββββββββββ
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# Translation pipelines
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# ββββββββββββββββββββββββββ
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PIPE_EN_ES = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es", device=-1)
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PIPE_ES_EN = pipeline("translation", model="Helsinki-NLP/opus-mt-es-en", device=-1)
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# ββββββββββββββββββββββββββ
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# TTS models
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# ββββββββββββββββββββββββββ
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TTS_EN = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False)
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TTS_ES = TTS(model_name="tts_models/es/mai/tacotron2-DDC", progress_bar=False)
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# ββββββββββββββββββββββββββ
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# Helper β save speech to WAV
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# ββββββββββββββββββββββββββ
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def wav_file(tts_obj: TTS, text: str) -> str:
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with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
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path = Path(tmp.name)
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tts_obj.tts_to_file(text=text, file_path=path)
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return str(path)
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# ββββββββββββββββββββββββββ
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# Core translate-and-speak
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# ββββββββββββββββββββββββββ
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def translate_and_speak(text: str, target: str):
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if not text.strip():
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return "", None
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if target == "Spanish":
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translated = PIPE_EN_ES(text)[0]["translation_text"]
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audio = wav_file(TTS_ES, translated)
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else:
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translated = PIPE_ES_EN(text)[0]["translation_text"]
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audio = wav_file(TTS_EN, translated)
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return translated, audio
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# ββββββββββββββββββββββββββ
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# Gradio UI
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# ββββββββββββββββββββββββββ
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with gr.Blocks(title="Translator & TTS") as demo:
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gr.Markdown(
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"# ππ¬ Text β Translate β Speech\n"
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"Type a sentence, choose the target language, hear it spoken."
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)
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sentence = gr.Textbox(label="Sentence (English or Spanish)", lines=2)
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target = gr.Radio(["Spanish", "English"], value="Spanish", label="Translate to")
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run = gr.Button("Translate & Speak", variant="primary")
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out_text = gr.Textbox(label="Translated text", interactive=False)
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out_audio = gr.Audio(label="Speech output", type="filepath")
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run.click(translate_and_speak, [sentence, target], [out_text, out_audio])
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0")
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