Update app.py

app.py

@@ -1,8 +1,5 @@
 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
@@ -90,37 +87,16 @@ def generate_chatbot_response(user_message):
     response = chat_completion.choices[0].message.content
     return response
 
-# 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
+# User input for conversation (now placed at the bottom)
 st.markdown("### 💬 Chat with me")
-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:")
+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("---")