app.py

import tempfile
from gtts import gTTS
from deep_translator import GoogleTranslator
import gradio as gr

def translate_and_speak(text: str, target: str, log: list):
    if not text.strip():
        return "", None, log

    # Translate
    dest = "es" if target == "Spanish" else "en"
    translated = GoogleTranslator(source='auto', target=dest).translate(text)

    # Text-to-speech
    tts = gTTS(translated, lang=dest)
    tmp = tempfile.NamedTemporaryFile(suffix=".mp3", delete=False)
    tts.write_to_fp(tmp)
    tmp.flush()

    # Update session log
    log_entry = [text, target, translated]
    log = log + [log_entry]

    return translated, tmp.name, log

with gr.Blocks(title="🌐💬 Translate & Speak with Logs") as demo:
    gr.Markdown(
        "# 🗣️ Translate & Speak + Session Log\n"
        "Type text, choose language, click **Go**, and see your session history."
    )

    with gr.Row():
        text_in = gr.Textbox(lines=3, placeholder="Enter text here…")
        lang_sel = gr.Radio(["Spanish", "English"], value="Spanish", label="Translate to")
    go_btn = gr.Button("Go 🔄", variant="primary")

    translated_out = gr.Textbox(label="Translated text", interactive=False)
    audio_out = gr.Audio(label="Speech output", type="filepath")
    session_log = gr.Dataframe(
        headers=["Input Text", "Target Language", "Translated Text"],
        datatype=["str", "str", "str"],
        wrap=True,
        interactive=False,
        label="Session Log"
    )

    # Hidden state for accumulating log entries
    log_state = gr.State([])

    go_btn.click(
        translate_and_speak,
        inputs=[text_in, lang_sel, log_state],
        outputs=[translated_out, audio_out, session_log],
        _js="(x)=>{return x;}"  # ensure state passes through
    )

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0")