Update frontend.py

frontend.py

@@ -1,6 +1,8 @@
 import streamlit as st
 import requests
 import pandas as pd
+import azure.cognitiveservices.speech as speechsdk
+import tempfile
 from gtts import gTTS
 import base64
 from io import BytesIO
@@ -62,13 +64,32 @@ with st.sidebar:
 
 # Text-to-Speech
 def speak(text, lang='en'):
-    tts = gTTS(text, lang=lang)
-    mp3 = BytesIO()
-    tts.write_to_fp(mp3)
-    b64 = base64.b64encode(mp3.getvalue()).decode()
-    st.markdown(f'<audio controls><source src="data:audio/mp3;base64,{b64}" type="audio/mp3"></audio>', unsafe_allow_html=True)
-    mp3.seek(0)
-    return mp3
+    try:
+        speech_key = st.secrets["AZURE_SPEECH_KEY"]
+        region = st.secrets["AZURE_REGION"]
+
+        speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=region)
+        audio_config = speechsdk.audio.AudioOutputConfig(use_default_speaker=False)
+
+        speech_config.speech_synthesis_voice_name = f"{lang}-US-JennyNeural" if lang == "en" else f"{lang}-Standard-A"
+
+        synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config, audio_config=None)
+
+        result = synthesizer.speak_text_async(text).get()
+        if result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:
+            audio_data = result.audio_data
+            mp3 = BytesIO(audio_data)
+            b64 = base64.b64encode(mp3.getvalue()).decode()
+            st.markdown(f'<audio controls><source src="data:audio/mp3;base64,{b64}" type="audio/mp3"></audio>', unsafe_allow_html=True)
+            mp3.seek(0)
+            return mp3
+        else:
+            st.warning("Azure TTS failed.")
+            return BytesIO()
+    except Exception as e:
+        st.error(f"🔊 Azure TTS Error: {e}")
+        return BytesIO()
+
 
 tab1, tab2 = st.tabs(["🧠 Analyze Review", "📚 Bulk Reviews"])