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app.py
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app.py
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import streamlit as st
from PIL import Image
from transformers import BlipProcessor, BlipForConditionalGeneration
import requests
from io import BytesIO
processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
@st.cache_resource
def create_model():
model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
return model
def create_caption(raw_image,num):
if raw_image.mode != "RGB":
raw_image = raw_image.convert(mode="RGB")
inputs = processor(raw_image, return_tensors="pt")
model = create_model()
out = model.generate(**inputs, num_beams=num, num_return_sequences=num, max_new_tokens=20)
output = []
for caption in out:
output.append(processor.decode(caption, skip_special_tokens=True))
return output
def main():
st.title('Caption Creator')
option = st.radio('Select an option:', ('Enter an image URL','Upload an image'))
if option=="Enter an image URL":
url = st.text_input('Enter the URL of an image:')
if url:
try:
response = requests.get(url)
raw_image = Image.open(BytesIO(response.content))
st.image(raw_image)
except:
st.write('Error: Invalid URL or unable to download image.')
else:
uploaded_file = st.file_uploader("Choose a file", type=["jpg","png"])
if uploaded_file is not None:
raw_image = Image.open(uploaded_file)
st.image(raw_image)
num = st.number_input('Number of captions: ',1,5)
if st.button('Predict'):
output = create_caption(raw_image,num)
for i in range(num):
st.write('Caption ',str(i+1),': ',output[i])
if __name__ == '__main__':
main()