import streamlit as st
import requests
from io import BytesIO

# Title of the app
st.title('Voice Cloning App')

# File uploader widget for uploading the voice recording
uploaded_file = st.file_uploader("Upload an audio file (MP3, WAV)", type=['mp3', 'wav'])

# Function to send audio file to the backend (Google Colab)
def send_to_backend(audio_file):
    # Make sure your Google Colab or API is set up to accept POST requests with audio data
    url = 'import streamlit as st
import requests
from io import BytesIO

# Title of the app
st.title('Voice Cloning App')

# File uploader widget for uploading the voice recording
uploaded_file = st.file_uploader("Upload an audio file (MP3, WAV)", type=['mp3', 'wav'])

# Function to send audio file to the backend (Google Colab)
def send_to_backend(audio_file):
    # Make sure your Google Colab or API is set up to accept POST requests with audio data
    url = '>'  # replace with your backend API URL
    files = {'file': audio_file}
    response = requests.post(url, files=files)
    return response

# Display the uploaded file and send it for processing
if uploaded_file is not None:
    st.audio(uploaded_file, format='audio/wav')
    
    # Process the file and return the cloned voice (assuming backend returns a file URL or the file itself)
    with st.spinner("Processing..."):
        result = send_to_backend(uploaded_file)
        if result.status_code == 200:
            # If the result is successful, display the cloned audio
            st.success('Voice cloned successfully!')
            st.audio(result.content, format='audio/wav')
        else:
            st.error("Error in processing the voice cloning. Please try again.")
>'  # replace with your backend API URL
    files = {'file': audio_file}
    response = requests.post(url, files=files)
    return response

# Display the uploaded file and send it for processing
if uploaded_file is not None:
    st.audio(uploaded_file, format='audio/wav')
    
    # Process the file and return the cloned voice (assuming backend returns a file URL or the file itself)
    with st.spinner("Processing..."):
        result = send_to_backend(uploaded_file)
        if result.status_code == 200:
            # If the result is successful, display the cloned audio
            st.success('Voice cloned successfully!')
            st.audio(result.content, format='audio/wav')
        else:
            st.error("Error in processing the voice cloning. Please try again.")