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import requests
from PIL import Image
import scipy
from transformers import BlipProcessor, BlipForConditionalGeneration, AutoProcessor, MusicgenForConditionalGeneration
import streamlit as st
def image_to_music(raw_image):
img_processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
img_model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
inputs = img_processor(raw_image, return_tensors="pt")
out = img_model.generate(**inputs)
txt = img_processor.decode(out[0], skip_special_tokens=True)
audio_processor = AutoProcessor.from_pretrained("facebook/musicgen-small")
audio_model = MusicgenForConditionalGeneration.from_pretrained("facebook/musicgen-small")
inputs = audio_processor(
text=[txt],
padding=True,
return_tensors="pt",
)
audio_values = audio_model.generate(**inputs, max_new_tokens=256)
sampling_rate = audio_model.config.audio_encoder.sampling_rate
scipy.io.wavfile.write("music.wav", rate=sampling_rate, data=audio_values[0, 0].numpy())
st.header("VisTune: an AI Image-to-Music generator")
uploaded_image = st.file_uploader("Upload an image", type=["png", "jpg", "jpeg"])
if uploaded_image:
st.image(uploaded_image, caption="Uploaded Image.", use_column_width=True)
if st.button("Generate Music") and uploaded_image:
raw_image = Image.open(uploaded_image).convert('RGB')
image_to_music(raw_image)
st.audio("music.wav")
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