Spaces:
Runtime error
Runtime error
import stat | |
import requests | |
import streamlit as st | |
from api import FacialSyncService | |
access_token = st.experimental_get_query_params().get("token", [""])[0] | |
if access_token == "": | |
st.error("Access denied") | |
st.stop() | |
api = FacialSyncService(access_token) | |
st.title("🤪 Facial Expression Sync Service") | |
img_file_buffer = st.camera_input("Take a picture") | |
st.write("### Compare with static images") | |
col1, col2 = st.columns(2) | |
for i, col in enumerate([col1, col2]): | |
with col: | |
img_cont = st.container() | |
static_image = st.file_uploader( | |
f"Upload image {i+1}", | |
type=["png", "jpg", "jpeg"], | |
key=f"static_img_uploader_{i}", | |
) | |
if static_image is not None: | |
img_cont.image(static_image, caption=f"Image {i+1}", width=200) | |
if img_file_buffer is not None: | |
img_cont.metric( | |
"Similarity", | |
f"{api.similarity(img_file_buffer.getvalue(), static_image.getvalue()):.2f}", | |
) | |