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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
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