VQA-datamining / app.py
linh-truong's picture
update example
6d1520c
raw
history blame
1.58 kB
import glob
import streamlit as st
from streamlit_image_select import image_select
#Trick to not init function multitime
if "model" not in st.session_state:
print("INIT MODEL")
from src.model import Model
st.session_state.model = Model()
print("DONE INIT MODEL")
st.set_page_config(page_title="VQA", layout="wide")
hide_menu_style = """
<style>
footer {visibility: hidden;}
</style>
"""
st.markdown(hide_menu_style, unsafe_allow_html= True)
mapper = {
"images/000000000645.jpg": "Đây là đâu",
"images/000000000661.jpg": "Tốc độ tối đa trên đoạn đường này là bao nhiêu",
"images/000000000674.jpg": "Còn bao xa nữa là tới Huế",
"images/000000000706.jpg": "Cầu này dài bao nhiêu",
"images/000000000777.jpg": "Chè khúc bạch giá bao nhiêu"
}
image = st.file_uploader("Choose an image file", type=["jpg", "jpeg", "png", "webp", ])
example = image_select("Examples", glob.glob("images/*.jpg"))
if image:
bytes_data = image.getvalue()
with open("test.png", "wb") as f:
f.write(bytes_data)
f.close()
st.session_state.image = "test.png"
st.session_state.question = ""
else:
st.session_state.question = mapper[example]
st.session_state.image = example
if 'image' in st.session_state:
st.image(st.session_state.image)
question = st.text_input("Question: ", value=st.session_state.question)
if question:
answer = st.session_state.model.inference(st.session_state.image, question)
st.write(f"Answer: {answer}")