Update app.py

app.py

@@ -1,42 +1,57 @@
 import tempfile
 from gtts import gTTS
-from googletrans import Translator
+from deep_translator import GoogleTranslator
 import gradio as gr
 
-translator = Translator()
-
-def translate_and_speak(text: str, target: str):
+def translate_and_speak(text: str, target: str, log: list):
     if not text.strip():
-        return "", None
+        return "", None, log
 
-    # 1️⃣ translate text
+    # Translate
     dest = "es" if target == "Spanish" else "en"
-    translated = translator.translate(text, dest=dest).text
+    translated = GoogleTranslator(source='auto', target=dest).translate(text)
 
-    # 2️⃣ speak translated text
+    # Text-to-speech
     tts = gTTS(translated, lang=dest)
     tmp = tempfile.NamedTemporaryFile(suffix=".mp3", delete=False)
     tts.write_to_fp(tmp)
     tmp.flush()
 
-    return translated, tmp.name
+    # Update session log
+    log_entry = [text, target, translated]
+    log = log + [log_entry]
+
+    return translated, tmp.name, log
 
-with gr.Blocks(title="🌐💬 Translate & Speak") as demo:
+with gr.Blocks(title="🌐💬 Translate & Speak with Logs") as demo:
     gr.Markdown(
-        "# 🗣️ Translate & Speak\n"
-        "Type text below, choose your target language, and hear it spoken!"
+        "# 🗣️ Translate & Speak + Session Log\n"
+        "Type text, choose language, click **Go**, and see your session history."
     )
 
-    text_in   = gr.Textbox(lines=3, placeholder="Enter text here…")
-    lang_sel  = gr.Radio(["Spanish", "English"], value="Spanish", label="Translate to")
-    btn       = gr.Button("Translate & Speak 🔈", variant="primary")
-    txt_out   = gr.Textbox(label="Translated text", interactive=False)
+    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([])
 
-    btn.click(
-        fn=translate_and_speak,
-        inputs=[text_in, lang_sel],
-        outputs=[txt_out, audio_out]
+    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__":