Update app.py

app.py

@@ -1,5 +1,8 @@
 import os
 import streamlit as st
+import speech_recognition as sr
+from gtts import gTTS
+import tempfile
 from groq import Groq
 
 # Set up the Groq API Key
@@ -87,16 +90,37 @@ def generate_chatbot_response(user_message):
     response = chat_completion.choices[0].message.content
     return response
 
-# User input for conversation (now placed at the bottom)
+# Voice input function
+def voice_input():
+    recognizer = sr.Recognizer()
+    with sr.Microphone() as source:
+        st.info("Listening...")
+        audio = recognizer.listen(source)
+    try:
+        return recognizer.recognize_google(audio)
+    except sr.UnknownValueError:
+        return "Sorry, I could not understand the audio."
+
+# Text-to-Speech output
+def text_to_speech(text):
+    tts = gTTS(text)
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
+        tts.save(temp_audio.name)
+        return temp_audio.name
+
+# User input for conversation
 st.markdown("### 💬 Chat with me")
-user_input = st.chat_input("Ask me a subject-related question:")
+if st.button("🎤 Speak Now"):
+    user_input = voice_input()
+    st.text(f"You said: {user_input}")
+else:
+    user_input = st.chat_input("Ask me a subject-related question:")
 
-# Handle user input and display conversation
 if user_input:
     chatbot_response = generate_chatbot_response(user_input)
-
-    # Save the conversation history
     st.session_state.conversation_history.append(("User: " + user_input, "Chatbot: " + chatbot_response))
+    audio_file = text_to_speech(chatbot_response)
+    st.audio(audio_file, format='audio/mp3')
 
 # Display chat history
 st.markdown("---")