Create app.py

app.py

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+# Text-→Translation-→Speech  |  CPU-only Hugging-Face Space
+
+import tempfile
+from pathlib import Path
+
+import gradio as gr
+from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
+from TTS.api import TTS
+
+# ─────────────────────────────
+# Translation pipelines
+# ─────────────────────────────
+PIPE_EN_ES = pipeline(
+    "translation", model="Helsinki-NLP/opus-mt-en-es", device=-1
+)
+PIPE_ES_EN = pipeline(
+    "translation", model="Helsinki-NLP/opus-mt-es-en", device=-1
+)
+
+# ─────────────────────────────
+# TTS models (Coqui TTS)
+# ─────────────────────────────
+TTS_EN = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False)
+TTS_ES = TTS(model_name="tts_models/es/mai/tacotron2-DDC", progress_bar=False)
+
+# ─────────────────────────────
+# Core function
+# ─────────────────────────────
+def translate_and_speak(text: str, target_lang: str):
+    if not text.strip():
+        return "", None
+
+    if target_lang == "Spanish":
+        translated = PIPE_EN_ES(text)[0]["translation_text"]
+        wav_path = synthesize(TTS_ES, translated)
+    else:  # English
+        translated = PIPE_ES_EN(text)[0]["translation_text"]
+        wav_path = synthesize(TTS_EN, translated)
+
+    return translated, wav_path
+
+
+def synthesize(tts_model: TTS, text: str) -> str:
+    """Generate WAV and return file path."""
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
+        wav_file = Path(tmp.name)
+    tts_model.tts_to_file(text=text, file_path=wav_file)
+    return str(wav_file)
+
+# ─────────────────────────────
+# Gradio UI
+# ─────────────────────────────
+with gr.Blocks(title="Translator & TTS") as demo:
+    gr.Markdown(
+        "# 🌐💬 Text → Translate → Speech\n"
+        "Type a sentence, choose target language, hear it spoken!"
+    )
+
+    inp = gr.Textbox(label="Your sentence (English or Spanish)", lines=2)
+    tgt = gr.Radio(["Spanish", "English"], value="Spanish", label="Translate to")
+
+    btn = gr.Button("Translate & Speak", variant="primary")
+
+    out_text  = gr.Textbox(label="Translated text", interactive=False)
+    out_audio = gr.Audio(label="TTS output", type="filepath")
+
+    btn.click(translate_and_speak, [inp, tgt], [out_text, out_audio])
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0")