app.py

import streamlit as st
import requests
import numpy as np
import sounddevice as sd
import wave
import io

# ✅ Set page title and layout
st.set_page_config(page_title="Sai Vahini AI Assistant", layout="centered")

# ✅ Render API URL (Ensure this matches your deployed API on Render)
RENDER_API_URL = "https://saivahini.onrender.com/process_audio"

# ✅ UI Header
st.markdown("<h1 style='text-align: center; color: #ff5733;'>Sai Vahini AI Voice Assistant 🕉️</h1>", unsafe_allow_html=True)

# ✅ Audio recording parameters
DURATION = 5  # Seconds
SAMPLE_RATE = 16000

# ✅ Function to record audio
def record_audio():
    st.info("🎤 Recording... Speak now!")
    audio = sd.rec(int(DURATION * SAMPLE_RATE), samplerate=SAMPLE_RATE, channels=1, dtype=np.int16)
    sd.wait()  # Wait until recording is finished
    st.success("✅ Recording completed!")

    # ✅ Save the audio as a WAV file
    audio_bytes = io.BytesIO