52 lines
1.3 KiB
Python
52 lines
1.3 KiB
Python
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import io
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import streamlit as st
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from PIL import Image
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from riffusion.spectrogram_image_converter import SpectrogramImageConverter
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from riffusion.spectrogram_params import SpectrogramParams
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from riffusion.streamlit import util as streamlit_util
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from riffusion.util.image_util import exif_from_image
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def render_image_to_audio() -> None:
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image_file = st.sidebar.file_uploader(
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"Upload a file",
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type=["png", "jpg", "jpeg"],
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label_visibility="collapsed",
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)
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if not image_file:
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st.info("Upload an image file to get started")
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return
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image = Image.open(image_file)
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st.image(image)
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exif = exif_from_image(image)
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st.write("Exif data:")
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st.write(exif)
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device = "cuda"
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try:
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params = SpectrogramParams.from_exif(exif=image.getexif())
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except KeyError:
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st.warning("Could not find spectrogram parameters in exif data. Using defaults.")
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params = SpectrogramParams()
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# segment = streamlit_util.audio_from_spectrogram_image(
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# image=image,
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# params=params,
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# device=device,
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# )
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# mp3_bytes = io.BytesIO()
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# segment.export(mp3_bytes, format="mp3")
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# mp3_bytes.seek(0)
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# st.audio(mp3_bytes)
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if __name__ == "__main__":
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render_image_to_audio()
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