ui.py

import streamlit as st
# Import other necessary modules and classes here
from google.oauth2 import service_account
from constants import KEY_PATH
from speech_to_text import SpeechToText
from text_to_text import TextToText
from text_to_speech import GoogleCloudTTS, ElevenLabsTTS
from logger import logger

# Initialize your classes and set up any necessary configurations here
credentials = service_account.Credentials.from_service_account_file(KEY_PATH)
s2t = SpeechToText(credentials)
t2t = TextToText(messages=[{"role": "system", "content": "Your initialization message here"}])

# Define a function to handle user input and generate a response
def handle_input(user_input):
    try:
        # Here you might call s2t.transcribe_audio(audio_file) if you have audio input
        # For this example, we're using text input directly
        prompt = user_input
        text_response = t2t.generate_response(prompt)
        return text_response
    except Exception as e:
        logger.error(str(e))
        return "An error occurred."

# Define Streamlit UI elements
st.title("AI Conversational Assistant")

# Create a text area for user input
user_input = st.text_input("Type your message here...")

# Create a button to send the message
if st.button("Send"):
    if user_input:
        # Display user's message
        st.write(f"You: {user_input}")
        
        # Generate and display the assistant’s response
        text_response = handle_input(user_input)
        st.write(f"Assistant: {text_response}")

# Include options for sound, TTS engine, etc.
want_sound = st.checkbox("Enable sound output")
use_eleven_labs = st.checkbox("Use ElevenLabs for TTS instead of Google Cloud")

if use_eleven_labs:
    t2s = ElevenLabsTTS()
else:
    t2s = GoogleCloudTTS(credentials)

# If sound is enabled, you can call t2s.synthesize(text_response) here, 
# but note that playing audio directly might require additional adjustments or libraries