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import streamlit as st |
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import requests |
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from io import BytesIO |
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st.title('Voice Cloning App') |
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uploaded_file = st.file_uploader("Upload an audio file (MP3, WAV)", type=['mp3', 'wav']) |
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def send_to_backend(audio_file): |
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url = 'import streamlit as st |
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import requests |
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from io import BytesIO |
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# Title of the app |
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st.title('Voice Cloning App') |
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# File uploader widget for uploading the voice recording |
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uploaded_file = st.file_uploader("Upload an audio file (MP3, WAV)", type=['mp3', 'wav']) |
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# Function to send audio file to the backend (Google Colab) |
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def send_to_backend(audio_file): |
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# Make sure your Google Colab or API is set up to accept POST requests with audio data |
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url = '>' # replace with your backend API URL |
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files = {'file': audio_file} |
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response = requests.post(url, files=files) |
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return response |
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# Display the uploaded file and send it for processing |
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if uploaded_file is not None: |
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st.audio(uploaded_file, format='audio/wav') |
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# Process the file and return the cloned voice (assuming backend returns a file URL or the file itself) |
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with st.spinner("Processing..."): |
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result = send_to_backend(uploaded_file) |
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if result.status_code == 200: |
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# If the result is successful, display the cloned audio |
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st.success('Voice cloned successfully!') |
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st.audio(result.content, format='audio/wav') |
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else: |
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st.error("Error in processing the voice cloning. Please try again.") |
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>' |
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files = {'file': audio_file} |
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response = requests.post(url, files=files) |
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return response |
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if uploaded_file is not None: |
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st.audio(uploaded_file, format='audio/wav') |
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with st.spinner("Processing..."): |
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result = send_to_backend(uploaded_file) |
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if result.status_code == 200: |
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st.success('Voice cloned successfully!') |
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st.audio(result.content, format='audio/wav') |
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else: |
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st.error("Error in processing the voice cloning. Please try again.") |
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