FlawlessAI / app.py
N.Achyuth Reddy
Update app.py
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import streamlit as st
from gradio_client import Client
from st_audiorec import st_audiorec
from gtts import gTTS
import os
# ... (previous code remains unchanged)
# Function to convert text to speech
def text_to_speech(text, language='en', filename='output.mp3'):
# Create a gTTS object
tts = gTTS(text=text, lang=language, slow=False)
# Save the audio file
tts.save(filename)
# Play the audio file
os.system(f'start {filename}') # This works on Windows. For other OS, you might need a different command.
# ... (previous code remains unchanged)
# React to user input
if prompt := textinput:
# Display user message in chat message container
st.chat_message("human", avatar="💬: ").markdown(prompt)
# Add user message to chat history
st.session_state.messages.append({"role": "human", "content": prompt})
# Update the global response variable
response = predict(message=prompt)
# Display assistant response in chat message container
with st.chat_message("assistant", avatar='🦙'):
st.markdown(response)
# Add assistant response to chat history
st.session_state.messages.append({"role": "assistant", "content": response})
# Convert response to audio
text_to_speech(response) # Call text_to_speech after getting the response