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import streamlit as st
import os
# Title
st.title("Vietnamese Multimodel NER")
def save_uploaded_image(image, directory):
if not os.path.exists(directory):
os.makedirs(directory)
file_path = os.path.join(directory, image.name)
with open(file_path, "wb") as f:
f.write(image.getbuffer())
return file_path
# Sidebar for selection
st.sidebar.title('Selection')
page = st.sidebar.selectbox("Choose a page", ["NER", "Multimodal NER"])
# NER page
if page == "NER":
st.header("NER")
text = st.text_area("Enter your text for NER:", height=300)
if st.button("Process NER"):
st.write("Processing text with NER model...")
# Add your NER processing code here
st.write(f"Input text: {text}")
# Multimodal NER page
elif page == "Multimodal NER":
st.header("Multimodal NER")
text = st.text_area("Enter your text for Multimodal NER:", height=300)
image = st.file_uploader("Upload an image:", type=["png", "jpg", "jpeg"])
if st.button("Process Multimodal NER"):
st.write("Processing text and image with Multimodal NER model...")
# Add your Multimodal NER processing code here
st.write(f"Input text: {text}")
if image:
save_path='E:/demo_datn/pythonProject1/Model/MultimodelNER/VLSP2016/Image'
image_name = image.name
print(image_name)
saved_image_path = save_uploaded_image(image, save_path)
st.image(image, caption="Uploaded Image", use_column_width=True)
else:
st.write("No image uploaded.")
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