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import numpy as np | |
import streamlit as st | |
from transformers import CLIPProcessor, FlaxCLIPModel | |
def get_image(text): | |
model = FlaxCLIPModel.from_pretrained("flax-community/clip-rsicd-v2") | |
processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32") | |
inputs = processor(text=[text], image=None, return_tensors="jax", padding=True) | |
vector = model.get_text_features(**inputs) | |
vector = np.asarray(vector) | |
def app(): | |
st.title("Welcome to Space Vector") | |
st.text("You want search an image with given text.") | |
text = st.text_input("Enter text: ") | |
if st.button("Search"): | |
st.image(get_image(text)) | |