Spaces:
Running
Running
File size: 1,028 Bytes
8644e00 b9c00f8 8644e00 05202af 5cf2822 b9c00f8 5cf2822 8644e00 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 |
import io
import streamlit as st
import requests
import numpy as np
from PIL import Image
from model import get_caption_model, generate_caption
@st.cache(allow_output_mutation=True)
def get_model():
return get_caption_model()
caption_model = get_model()
def predict():
pred_caption = generate_caption('tmp.jpg', caption_model)
st.write('Predicted Captions:')
st.write(pred_caption)
for _ in range(4):
pred_caption = generate_caption('tmp.jpg', caption_model, add_noise=True)
st.write(pred_caption)
img_url = st.text_input(label='Enter Image URL')
if (img_url != "") and (img_url != None):
img = Image.open(requests.get(img_url, stream=True).raw)
img = img.convert('RGB')
st.image(img)
img.save('tmp.jpg')
st.image(img)
predict()
img = st.file_uploader(label='Upload Image', type=['jpg', 'png'])
if img != None:
img = img.read()
img = Image.open(io.BytesIO(img))
img = img.convert('RGB')
img.save('tmp.jpg')
st.image(img)
predict()
|